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- adalora_mlp/0.6.2/README.md +206 -0
- adalora_mlp/0.6.2/adapter_config.json +34 -0
- adalora_mlp/0.6.2/adapter_model.safetensors +3 -0
- adalora_mlp/0.6.2/output.pt +3 -0
- adalora_opt-350m/0.6.2/README.md +207 -0
- adalora_opt-350m/0.6.2/adapter_config.json +39 -0
- adalora_opt-350m/0.6.2/adapter_model.safetensors +3 -0
- adalora_opt-350m/0.6.2/output.pt +3 -0
- ia3_conv2d/0.6.2/README.md +206 -0
- ia3_conv2d/0.6.2/adapter_config.json +20 -0
- ia3_conv2d/0.6.2/adapter_model.safetensors +3 -0
- ia3_conv2d/0.6.2/output.pt +3 -0
- ia3_mlp/0.6.2/README.md +206 -0
- ia3_mlp/0.6.2/adapter_config.json +20 -0
- ia3_mlp/0.6.2/adapter_model.safetensors +3 -0
- ia3_mlp/0.6.2/output.pt +3 -0
- ia3_no_ff_mlp/0.6.2/README.md +206 -0
- ia3_no_ff_mlp/0.6.2/adapter_config.json +18 -0
- ia3_no_ff_mlp/0.6.2/adapter_model.safetensors +3 -0
- ia3_no_ff_mlp/0.6.2/output.pt +3 -0
- ia3_opt-350m/0.6.2/README.md +207 -0
- ia3_opt-350m/0.6.2/adapter_config.json +22 -0
- ia3_opt-350m/0.6.2/adapter_model.safetensors +3 -0
- ia3_opt-350m/0.6.2/output.pt +3 -0
- lora_conv2d/0.6.2/README.md +206 -0
- lora_conv2d/0.6.2/adapter_config.json +25 -0
- lora_conv2d/0.6.2/adapter_model.safetensors +3 -0
- lora_conv2d/0.6.2/output.pt +3 -0
- lora_emb_conv1d/0.6.2/README.md +206 -0
- lora_emb_conv1d/0.6.2/adapter_config.json +26 -0
- lora_emb_conv1d/0.6.2/adapter_model.safetensors +3 -0
- lora_emb_conv1d/0.6.2/output.pt +3 -0
- lora_mlp/0.6.2/README.md +206 -0
- lora_mlp/0.6.2/adapter_config.json +25 -0
- lora_mlp/0.6.2/adapter_model.safetensors +3 -0
- lora_mlp/0.6.2/output.pt +3 -0
- lora_mlp_modules_to_save/0.6.2/README.md +206 -0
- lora_mlp_modules_to_save/0.6.2/adapter_config.json +27 -0
- lora_mlp_modules_to_save/0.6.2/adapter_model.safetensors +3 -0
- lora_mlp_modules_to_save/0.6.2/output.pt +3 -0
- lora_opt-350m/0.6.2/README.md +207 -0
- lora_opt-350m/0.6.2/adapter_config.json +26 -0
- lora_opt-350m/0.6.2/adapter_model.safetensors +3 -0
- lora_opt-350m/0.6.2/output.pt +3 -0
- lora_opt-350m_bnb_4bit/0.6.2/README.md +219 -0
- lora_opt-350m_bnb_4bit/0.6.2/adapter_config.json +26 -0
- lora_opt-350m_bnb_4bit/0.6.2/adapter_model.safetensors +3 -0
- lora_opt-350m_bnb_4bit/0.6.2/output.pt +3 -0
- lora_opt-350m_bnb_8bit/0.6.2/README.md +219 -0
- lora_opt-350m_bnb_8bit/0.6.2/adapter_config.json +26 -0
adalora_mlp/0.6.2/README.md
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| 1 |
+
---
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| 2 |
+
library_name: peft
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| 3 |
+
---
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| 4 |
+
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| 5 |
+
# Model Card for Model ID
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| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
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| 9 |
+
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| 10 |
+
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| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
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| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
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| 20 |
+
- **Shared by [optional]:** [More Information Needed]
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| 21 |
+
- **Model type:** [More Information Needed]
|
| 22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 23 |
+
- **License:** [More Information Needed]
|
| 24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 25 |
+
|
| 26 |
+
### Model Sources [optional]
|
| 27 |
+
|
| 28 |
+
<!-- Provide the basic links for the model. -->
|
| 29 |
+
|
| 30 |
+
- **Repository:** [More Information Needed]
|
| 31 |
+
- **Paper [optional]:** [More Information Needed]
|
| 32 |
+
- **Demo [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
## Uses
|
| 35 |
+
|
| 36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 37 |
+
|
| 38 |
+
### Direct Use
|
| 39 |
+
|
| 40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 41 |
+
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| 42 |
+
[More Information Needed]
|
| 43 |
+
|
| 44 |
+
### Downstream Use [optional]
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Out-of-Scope Use
|
| 51 |
+
|
| 52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
## Bias, Risks, and Limitations
|
| 57 |
+
|
| 58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
### Recommendations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 65 |
+
|
| 66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 67 |
+
|
| 68 |
+
## How to Get Started with the Model
|
| 69 |
+
|
| 70 |
+
Use the code below to get started with the model.
|
| 71 |
+
|
| 72 |
+
[More Information Needed]
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| 73 |
+
|
| 74 |
+
## Training Details
|
| 75 |
+
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| 76 |
+
### Training Data
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| 77 |
+
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| 78 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
### Training Procedure
|
| 83 |
+
|
| 84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 85 |
+
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| 86 |
+
#### Preprocessing [optional]
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| 87 |
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| 88 |
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[More Information Needed]
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| 89 |
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|
| 90 |
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| 91 |
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#### Training Hyperparameters
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| 92 |
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|
| 93 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 94 |
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| 95 |
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#### Speeds, Sizes, Times [optional]
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| 96 |
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| 97 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 98 |
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| 99 |
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[More Information Needed]
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| 100 |
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| 101 |
+
## Evaluation
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| 102 |
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| 103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
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| 104 |
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| 105 |
+
### Testing Data, Factors & Metrics
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| 106 |
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| 107 |
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#### Testing Data
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| 108 |
+
|
| 109 |
+
<!-- This should link to a Data Card if possible. -->
|
| 110 |
+
|
| 111 |
+
[More Information Needed]
|
| 112 |
+
|
| 113 |
+
#### Factors
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| 114 |
+
|
| 115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 116 |
+
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| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Metrics
|
| 120 |
+
|
| 121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 122 |
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| 123 |
+
[More Information Needed]
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| 124 |
+
|
| 125 |
+
### Results
|
| 126 |
+
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| 127 |
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[More Information Needed]
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| 128 |
+
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| 129 |
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#### Summary
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| 130 |
+
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| 131 |
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| 132 |
+
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| 133 |
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## Model Examination [optional]
|
| 134 |
+
|
| 135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 136 |
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| 137 |
+
[More Information Needed]
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| 138 |
+
|
| 139 |
+
## Environmental Impact
|
| 140 |
+
|
| 141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 142 |
+
|
| 143 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 144 |
+
|
| 145 |
+
- **Hardware Type:** [More Information Needed]
|
| 146 |
+
- **Hours used:** [More Information Needed]
|
| 147 |
+
- **Cloud Provider:** [More Information Needed]
|
| 148 |
+
- **Compute Region:** [More Information Needed]
|
| 149 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 150 |
+
|
| 151 |
+
## Technical Specifications [optional]
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| 152 |
+
|
| 153 |
+
### Model Architecture and Objective
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| 154 |
+
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| 155 |
+
[More Information Needed]
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| 156 |
+
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| 157 |
+
### Compute Infrastructure
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| 158 |
+
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| 159 |
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[More Information Needed]
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| 160 |
+
|
| 161 |
+
#### Hardware
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| 162 |
+
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| 163 |
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[More Information Needed]
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| 164 |
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| 165 |
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#### Software
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| 166 |
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| 167 |
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[More Information Needed]
|
| 168 |
+
|
| 169 |
+
## Citation [optional]
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| 170 |
+
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| 171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 172 |
+
|
| 173 |
+
**BibTeX:**
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| 174 |
+
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| 175 |
+
[More Information Needed]
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| 176 |
+
|
| 177 |
+
**APA:**
|
| 178 |
+
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| 179 |
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[More Information Needed]
|
| 180 |
+
|
| 181 |
+
## Glossary [optional]
|
| 182 |
+
|
| 183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 184 |
+
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| 185 |
+
[More Information Needed]
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| 186 |
+
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| 187 |
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## More Information [optional]
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| 188 |
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| 189 |
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[More Information Needed]
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| 190 |
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## Model Card Authors [optional]
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| 192 |
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| 193 |
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[More Information Needed]
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| 194 |
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| 195 |
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## Model Card Contact
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| 196 |
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| 197 |
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[More Information Needed]
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| 198 |
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| 199 |
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| 200 |
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## Training procedure
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| 201 |
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| 202 |
+
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| 203 |
+
### Framework versions
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| 204 |
+
|
| 205 |
+
|
| 206 |
+
- PEFT 0.6.2
|
adalora_mlp/0.6.2/adapter_config.json
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": {
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| 4 |
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"base_model_class": "MLP",
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| 5 |
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"parent_library": "test_regression"
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| 6 |
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},
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| 7 |
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"base_model_name_or_path": null,
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| 8 |
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"beta1": 0.85,
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| 9 |
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"beta2": 0.85,
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| 10 |
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"bias": "none",
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| 11 |
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"deltaT": 1,
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| 12 |
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"fan_in_fan_out": false,
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| 13 |
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"inference_mode": true,
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| 14 |
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"init_lora_weights": false,
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| 15 |
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"init_r": 12,
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| 16 |
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"layers_pattern": null,
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| 17 |
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"layers_to_transform": null,
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| 18 |
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"lora_alpha": 8,
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| 19 |
+
"lora_dropout": 0.0,
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| 20 |
+
"modules_to_save": null,
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| 21 |
+
"orth_reg_weight": 0.5,
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| 22 |
+
"peft_type": "ADALORA",
|
| 23 |
+
"r": 8,
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| 24 |
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"rank_pattern": null,
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| 25 |
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"revision": null,
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| 26 |
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"target_modules": [
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| 27 |
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"lin0"
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| 28 |
+
],
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| 29 |
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"target_r": 8,
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| 30 |
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"task_type": null,
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| 31 |
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"tfinal": 0,
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| 32 |
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"tinit": 0,
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| 33 |
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"total_step": null
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| 34 |
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}
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adalora_mlp/0.6.2/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9479f2503c55f4c63e0a5682c3855910de00377f39aee2ea9687412f45bb8d4
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| 3 |
+
size 1792
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adalora_mlp/0.6.2/output.pt
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:c90d9caa327c2bc1237d69be84caaa5ea3b9110f3b0ef3036e3349bf528c97ee
|
| 3 |
+
size 1239
|
adalora_opt-350m/0.6.2/README.md
ADDED
|
@@ -0,0 +1,207 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: facebook/opt-350m
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 22 |
+
- **Model type:** [More Information Needed]
|
| 23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 24 |
+
- **License:** [More Information Needed]
|
| 25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 26 |
+
|
| 27 |
+
### Model Sources [optional]
|
| 28 |
+
|
| 29 |
+
<!-- Provide the basic links for the model. -->
|
| 30 |
+
|
| 31 |
+
- **Repository:** [More Information Needed]
|
| 32 |
+
- **Paper [optional]:** [More Information Needed]
|
| 33 |
+
- **Demo [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
## Uses
|
| 36 |
+
|
| 37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 38 |
+
|
| 39 |
+
### Direct Use
|
| 40 |
+
|
| 41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 42 |
+
|
| 43 |
+
[More Information Needed]
|
| 44 |
+
|
| 45 |
+
### Downstream Use [optional]
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Out-of-Scope Use
|
| 52 |
+
|
| 53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
## Bias, Risks, and Limitations
|
| 58 |
+
|
| 59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
### Recommendations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 66 |
+
|
| 67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 68 |
+
|
| 69 |
+
## How to Get Started with the Model
|
| 70 |
+
|
| 71 |
+
Use the code below to get started with the model.
|
| 72 |
+
|
| 73 |
+
[More Information Needed]
|
| 74 |
+
|
| 75 |
+
## Training Details
|
| 76 |
+
|
| 77 |
+
### Training Data
|
| 78 |
+
|
| 79 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
### Training Procedure
|
| 84 |
+
|
| 85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 86 |
+
|
| 87 |
+
#### Preprocessing [optional]
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
#### Training Hyperparameters
|
| 93 |
+
|
| 94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 95 |
+
|
| 96 |
+
#### Speeds, Sizes, Times [optional]
|
| 97 |
+
|
| 98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 99 |
+
|
| 100 |
+
[More Information Needed]
|
| 101 |
+
|
| 102 |
+
## Evaluation
|
| 103 |
+
|
| 104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 105 |
+
|
| 106 |
+
### Testing Data, Factors & Metrics
|
| 107 |
+
|
| 108 |
+
#### Testing Data
|
| 109 |
+
|
| 110 |
+
<!-- This should link to a Data Card if possible. -->
|
| 111 |
+
|
| 112 |
+
[More Information Needed]
|
| 113 |
+
|
| 114 |
+
#### Factors
|
| 115 |
+
|
| 116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Metrics
|
| 121 |
+
|
| 122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
### Results
|
| 127 |
+
|
| 128 |
+
[More Information Needed]
|
| 129 |
+
|
| 130 |
+
#### Summary
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
## Model Examination [optional]
|
| 135 |
+
|
| 136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 137 |
+
|
| 138 |
+
[More Information Needed]
|
| 139 |
+
|
| 140 |
+
## Environmental Impact
|
| 141 |
+
|
| 142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 143 |
+
|
| 144 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 145 |
+
|
| 146 |
+
- **Hardware Type:** [More Information Needed]
|
| 147 |
+
- **Hours used:** [More Information Needed]
|
| 148 |
+
- **Cloud Provider:** [More Information Needed]
|
| 149 |
+
- **Compute Region:** [More Information Needed]
|
| 150 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 151 |
+
|
| 152 |
+
## Technical Specifications [optional]
|
| 153 |
+
|
| 154 |
+
### Model Architecture and Objective
|
| 155 |
+
|
| 156 |
+
[More Information Needed]
|
| 157 |
+
|
| 158 |
+
### Compute Infrastructure
|
| 159 |
+
|
| 160 |
+
[More Information Needed]
|
| 161 |
+
|
| 162 |
+
#### Hardware
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
#### Software
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
## Citation [optional]
|
| 171 |
+
|
| 172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 173 |
+
|
| 174 |
+
**BibTeX:**
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
**APA:**
|
| 179 |
+
|
| 180 |
+
[More Information Needed]
|
| 181 |
+
|
| 182 |
+
## Glossary [optional]
|
| 183 |
+
|
| 184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## More Information [optional]
|
| 189 |
+
|
| 190 |
+
[More Information Needed]
|
| 191 |
+
|
| 192 |
+
## Model Card Authors [optional]
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## Model Card Contact
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
|
| 201 |
+
## Training procedure
|
| 202 |
+
|
| 203 |
+
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
|
| 207 |
+
- PEFT 0.6.2
|
adalora_opt-350m/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "OPTForCausalLM",
|
| 5 |
+
"parent_library": "transformers.models.opt.modeling_opt"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "facebook/opt-350m",
|
| 8 |
+
"beta1": 0.85,
|
| 9 |
+
"beta2": 0.85,
|
| 10 |
+
"bias": "none",
|
| 11 |
+
"deltaT": 1,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": false,
|
| 15 |
+
"init_r": 12,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"lora_alpha": 8,
|
| 19 |
+
"lora_dropout": 0.0,
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"orth_reg_weight": 0.5,
|
| 22 |
+
"peft_type": "ADALORA",
|
| 23 |
+
"r": 8,
|
| 24 |
+
"rank_pattern": null,
|
| 25 |
+
"revision": null,
|
| 26 |
+
"target_modules": [
|
| 27 |
+
"q_proj",
|
| 28 |
+
"k_proj",
|
| 29 |
+
"v_proj",
|
| 30 |
+
"out_proj",
|
| 31 |
+
"fc1",
|
| 32 |
+
"fc2"
|
| 33 |
+
],
|
| 34 |
+
"target_r": 8,
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"tfinal": 0,
|
| 37 |
+
"tinit": 0,
|
| 38 |
+
"total_step": null
|
| 39 |
+
}
|
adalora_opt-350m/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
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|
|
|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b95942c9e2029d128034ec7ab28b882a763ccd18aa6dc0eb5c47dc66a89479ba
|
| 3 |
+
size 21296584
|
adalora_opt-350m/0.6.2/output.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45cd059248e254577130528f6b9b6ab434bda781523f9e33e6ba47c67b429ff8
|
| 3 |
+
size 1207639
|
ia3_conv2d/0.6.2/README.md
ADDED
|
@@ -0,0 +1,206 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Model Card for Model ID
|
| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
|
| 20 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 21 |
+
- **Model type:** [More Information Needed]
|
| 22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 23 |
+
- **License:** [More Information Needed]
|
| 24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 25 |
+
|
| 26 |
+
### Model Sources [optional]
|
| 27 |
+
|
| 28 |
+
<!-- Provide the basic links for the model. -->
|
| 29 |
+
|
| 30 |
+
- **Repository:** [More Information Needed]
|
| 31 |
+
- **Paper [optional]:** [More Information Needed]
|
| 32 |
+
- **Demo [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
## Uses
|
| 35 |
+
|
| 36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 37 |
+
|
| 38 |
+
### Direct Use
|
| 39 |
+
|
| 40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 41 |
+
|
| 42 |
+
[More Information Needed]
|
| 43 |
+
|
| 44 |
+
### Downstream Use [optional]
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Out-of-Scope Use
|
| 51 |
+
|
| 52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
## Bias, Risks, and Limitations
|
| 57 |
+
|
| 58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
### Recommendations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 65 |
+
|
| 66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 67 |
+
|
| 68 |
+
## How to Get Started with the Model
|
| 69 |
+
|
| 70 |
+
Use the code below to get started with the model.
|
| 71 |
+
|
| 72 |
+
[More Information Needed]
|
| 73 |
+
|
| 74 |
+
## Training Details
|
| 75 |
+
|
| 76 |
+
### Training Data
|
| 77 |
+
|
| 78 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
### Training Procedure
|
| 83 |
+
|
| 84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 85 |
+
|
| 86 |
+
#### Preprocessing [optional]
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
#### Training Hyperparameters
|
| 92 |
+
|
| 93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 94 |
+
|
| 95 |
+
#### Speeds, Sizes, Times [optional]
|
| 96 |
+
|
| 97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 98 |
+
|
| 99 |
+
[More Information Needed]
|
| 100 |
+
|
| 101 |
+
## Evaluation
|
| 102 |
+
|
| 103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 104 |
+
|
| 105 |
+
### Testing Data, Factors & Metrics
|
| 106 |
+
|
| 107 |
+
#### Testing Data
|
| 108 |
+
|
| 109 |
+
<!-- This should link to a Data Card if possible. -->
|
| 110 |
+
|
| 111 |
+
[More Information Needed]
|
| 112 |
+
|
| 113 |
+
#### Factors
|
| 114 |
+
|
| 115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Metrics
|
| 120 |
+
|
| 121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
### Results
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Summary
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
## Model Examination [optional]
|
| 134 |
+
|
| 135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
## Environmental Impact
|
| 140 |
+
|
| 141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 142 |
+
|
| 143 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 144 |
+
|
| 145 |
+
- **Hardware Type:** [More Information Needed]
|
| 146 |
+
- **Hours used:** [More Information Needed]
|
| 147 |
+
- **Cloud Provider:** [More Information Needed]
|
| 148 |
+
- **Compute Region:** [More Information Needed]
|
| 149 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 150 |
+
|
| 151 |
+
## Technical Specifications [optional]
|
| 152 |
+
|
| 153 |
+
### Model Architecture and Objective
|
| 154 |
+
|
| 155 |
+
[More Information Needed]
|
| 156 |
+
|
| 157 |
+
### Compute Infrastructure
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
#### Hardware
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Software
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
## Citation [optional]
|
| 170 |
+
|
| 171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 172 |
+
|
| 173 |
+
**BibTeX:**
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
**APA:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
## Glossary [optional]
|
| 182 |
+
|
| 183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## More Information [optional]
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Model Card Authors [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Contact
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
|
| 200 |
+
## Training procedure
|
| 201 |
+
|
| 202 |
+
|
| 203 |
+
### Framework versions
|
| 204 |
+
|
| 205 |
+
|
| 206 |
+
- PEFT 0.6.2
|
ia3_conv2d/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": {
|
| 3 |
+
"base_model_class": "ModelConv2D",
|
| 4 |
+
"parent_library": "test_regression"
|
| 5 |
+
},
|
| 6 |
+
"base_model_name_or_path": null,
|
| 7 |
+
"fan_in_fan_out": false,
|
| 8 |
+
"feedforward_modules": [
|
| 9 |
+
"conv2d"
|
| 10 |
+
],
|
| 11 |
+
"inference_mode": true,
|
| 12 |
+
"init_ia3_weights": false,
|
| 13 |
+
"modules_to_save": null,
|
| 14 |
+
"peft_type": "IA3",
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"conv2d"
|
| 18 |
+
],
|
| 19 |
+
"task_type": null
|
| 20 |
+
}
|
ia3_conv2d/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b3d25f99cd10353987666d320c8ae6f7a2e61129836888af543059a6d2233ed
|
| 3 |
+
size 148
|
ia3_conv2d/0.6.2/output.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6aeaa649528f43b5360de6d40aa805ac7bb1a9a98799172df77d04c21324a308
|
| 3 |
+
size 1175
|
ia3_mlp/0.6.2/README.md
ADDED
|
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
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|
|
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|
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|
|
|
|
|
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|
|
|
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|
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|
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|
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|
|
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|
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|
|
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|
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|
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|
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|
|
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|
|
|
|
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|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Model Card for Model ID
|
| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
|
| 20 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 21 |
+
- **Model type:** [More Information Needed]
|
| 22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 23 |
+
- **License:** [More Information Needed]
|
| 24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 25 |
+
|
| 26 |
+
### Model Sources [optional]
|
| 27 |
+
|
| 28 |
+
<!-- Provide the basic links for the model. -->
|
| 29 |
+
|
| 30 |
+
- **Repository:** [More Information Needed]
|
| 31 |
+
- **Paper [optional]:** [More Information Needed]
|
| 32 |
+
- **Demo [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
## Uses
|
| 35 |
+
|
| 36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 37 |
+
|
| 38 |
+
### Direct Use
|
| 39 |
+
|
| 40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 41 |
+
|
| 42 |
+
[More Information Needed]
|
| 43 |
+
|
| 44 |
+
### Downstream Use [optional]
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Out-of-Scope Use
|
| 51 |
+
|
| 52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
## Bias, Risks, and Limitations
|
| 57 |
+
|
| 58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
### Recommendations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 65 |
+
|
| 66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 67 |
+
|
| 68 |
+
## How to Get Started with the Model
|
| 69 |
+
|
| 70 |
+
Use the code below to get started with the model.
|
| 71 |
+
|
| 72 |
+
[More Information Needed]
|
| 73 |
+
|
| 74 |
+
## Training Details
|
| 75 |
+
|
| 76 |
+
### Training Data
|
| 77 |
+
|
| 78 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
### Training Procedure
|
| 83 |
+
|
| 84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 85 |
+
|
| 86 |
+
#### Preprocessing [optional]
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
#### Training Hyperparameters
|
| 92 |
+
|
| 93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 94 |
+
|
| 95 |
+
#### Speeds, Sizes, Times [optional]
|
| 96 |
+
|
| 97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 98 |
+
|
| 99 |
+
[More Information Needed]
|
| 100 |
+
|
| 101 |
+
## Evaluation
|
| 102 |
+
|
| 103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 104 |
+
|
| 105 |
+
### Testing Data, Factors & Metrics
|
| 106 |
+
|
| 107 |
+
#### Testing Data
|
| 108 |
+
|
| 109 |
+
<!-- This should link to a Data Card if possible. -->
|
| 110 |
+
|
| 111 |
+
[More Information Needed]
|
| 112 |
+
|
| 113 |
+
#### Factors
|
| 114 |
+
|
| 115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Metrics
|
| 120 |
+
|
| 121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
### Results
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Summary
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
## Model Examination [optional]
|
| 134 |
+
|
| 135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
## Environmental Impact
|
| 140 |
+
|
| 141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 142 |
+
|
| 143 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 144 |
+
|
| 145 |
+
- **Hardware Type:** [More Information Needed]
|
| 146 |
+
- **Hours used:** [More Information Needed]
|
| 147 |
+
- **Cloud Provider:** [More Information Needed]
|
| 148 |
+
- **Compute Region:** [More Information Needed]
|
| 149 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 150 |
+
|
| 151 |
+
## Technical Specifications [optional]
|
| 152 |
+
|
| 153 |
+
### Model Architecture and Objective
|
| 154 |
+
|
| 155 |
+
[More Information Needed]
|
| 156 |
+
|
| 157 |
+
### Compute Infrastructure
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
#### Hardware
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Software
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
## Citation [optional]
|
| 170 |
+
|
| 171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 172 |
+
|
| 173 |
+
**BibTeX:**
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
**APA:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
## Glossary [optional]
|
| 182 |
+
|
| 183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## More Information [optional]
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Model Card Authors [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Contact
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
|
| 200 |
+
## Training procedure
|
| 201 |
+
|
| 202 |
+
|
| 203 |
+
### Framework versions
|
| 204 |
+
|
| 205 |
+
|
| 206 |
+
- PEFT 0.6.2
|
ia3_mlp/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
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|
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|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": {
|
| 3 |
+
"base_model_class": "MLP",
|
| 4 |
+
"parent_library": "test_regression"
|
| 5 |
+
},
|
| 6 |
+
"base_model_name_or_path": null,
|
| 7 |
+
"fan_in_fan_out": false,
|
| 8 |
+
"feedforward_modules": [
|
| 9 |
+
"lin0"
|
| 10 |
+
],
|
| 11 |
+
"inference_mode": true,
|
| 12 |
+
"init_ia3_weights": false,
|
| 13 |
+
"modules_to_save": null,
|
| 14 |
+
"peft_type": "IA3",
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"lin0"
|
| 18 |
+
],
|
| 19 |
+
"task_type": null
|
| 20 |
+
}
|
ia3_mlp/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f37cf4c827d5730fde053cc5e43926b7a329255bdf39a77b24d504d19ccda746
|
| 3 |
+
size 168
|
ia3_mlp/0.6.2/output.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d37ff05838c1628679f56a34b0e5c8e13f5cd9814216faa88d43a696dce9764
|
| 3 |
+
size 1239
|
ia3_no_ff_mlp/0.6.2/README.md
ADDED
|
@@ -0,0 +1,206 @@
|
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Model Card for Model ID
|
| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
|
| 20 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 21 |
+
- **Model type:** [More Information Needed]
|
| 22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 23 |
+
- **License:** [More Information Needed]
|
| 24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 25 |
+
|
| 26 |
+
### Model Sources [optional]
|
| 27 |
+
|
| 28 |
+
<!-- Provide the basic links for the model. -->
|
| 29 |
+
|
| 30 |
+
- **Repository:** [More Information Needed]
|
| 31 |
+
- **Paper [optional]:** [More Information Needed]
|
| 32 |
+
- **Demo [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
## Uses
|
| 35 |
+
|
| 36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 37 |
+
|
| 38 |
+
### Direct Use
|
| 39 |
+
|
| 40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 41 |
+
|
| 42 |
+
[More Information Needed]
|
| 43 |
+
|
| 44 |
+
### Downstream Use [optional]
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Out-of-Scope Use
|
| 51 |
+
|
| 52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
## Bias, Risks, and Limitations
|
| 57 |
+
|
| 58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
### Recommendations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 65 |
+
|
| 66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 67 |
+
|
| 68 |
+
## How to Get Started with the Model
|
| 69 |
+
|
| 70 |
+
Use the code below to get started with the model.
|
| 71 |
+
|
| 72 |
+
[More Information Needed]
|
| 73 |
+
|
| 74 |
+
## Training Details
|
| 75 |
+
|
| 76 |
+
### Training Data
|
| 77 |
+
|
| 78 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
### Training Procedure
|
| 83 |
+
|
| 84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 85 |
+
|
| 86 |
+
#### Preprocessing [optional]
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
#### Training Hyperparameters
|
| 92 |
+
|
| 93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 94 |
+
|
| 95 |
+
#### Speeds, Sizes, Times [optional]
|
| 96 |
+
|
| 97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 98 |
+
|
| 99 |
+
[More Information Needed]
|
| 100 |
+
|
| 101 |
+
## Evaluation
|
| 102 |
+
|
| 103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 104 |
+
|
| 105 |
+
### Testing Data, Factors & Metrics
|
| 106 |
+
|
| 107 |
+
#### Testing Data
|
| 108 |
+
|
| 109 |
+
<!-- This should link to a Data Card if possible. -->
|
| 110 |
+
|
| 111 |
+
[More Information Needed]
|
| 112 |
+
|
| 113 |
+
#### Factors
|
| 114 |
+
|
| 115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Metrics
|
| 120 |
+
|
| 121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
### Results
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Summary
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
## Model Examination [optional]
|
| 134 |
+
|
| 135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
## Environmental Impact
|
| 140 |
+
|
| 141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 142 |
+
|
| 143 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 144 |
+
|
| 145 |
+
- **Hardware Type:** [More Information Needed]
|
| 146 |
+
- **Hours used:** [More Information Needed]
|
| 147 |
+
- **Cloud Provider:** [More Information Needed]
|
| 148 |
+
- **Compute Region:** [More Information Needed]
|
| 149 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 150 |
+
|
| 151 |
+
## Technical Specifications [optional]
|
| 152 |
+
|
| 153 |
+
### Model Architecture and Objective
|
| 154 |
+
|
| 155 |
+
[More Information Needed]
|
| 156 |
+
|
| 157 |
+
### Compute Infrastructure
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
#### Hardware
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Software
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
## Citation [optional]
|
| 170 |
+
|
| 171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 172 |
+
|
| 173 |
+
**BibTeX:**
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
**APA:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
## Glossary [optional]
|
| 182 |
+
|
| 183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## More Information [optional]
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Model Card Authors [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Contact
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
|
| 200 |
+
## Training procedure
|
| 201 |
+
|
| 202 |
+
|
| 203 |
+
### Framework versions
|
| 204 |
+
|
| 205 |
+
|
| 206 |
+
- PEFT 0.6.2
|
ia3_no_ff_mlp/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,18 @@
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| 1 |
+
{
|
| 2 |
+
"auto_mapping": {
|
| 3 |
+
"base_model_class": "MLP",
|
| 4 |
+
"parent_library": "test_regression"
|
| 5 |
+
},
|
| 6 |
+
"base_model_name_or_path": null,
|
| 7 |
+
"fan_in_fan_out": false,
|
| 8 |
+
"feedforward_modules": [],
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_ia3_weights": false,
|
| 11 |
+
"modules_to_save": null,
|
| 12 |
+
"peft_type": "IA3",
|
| 13 |
+
"revision": null,
|
| 14 |
+
"target_modules": [
|
| 15 |
+
"lin0"
|
| 16 |
+
],
|
| 17 |
+
"task_type": null
|
| 18 |
+
}
|
ia3_no_ff_mlp/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5dd84ea77e8fe4df72057bd6b5a02c633dae2afa33b6d7286f2859c5dd53a8c0
|
| 3 |
+
size 208
|
ia3_no_ff_mlp/0.6.2/output.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6916d7bee023d39d11075986bb824a1569bffe25f855ddb956e95c56886a1164
|
| 3 |
+
size 1239
|
ia3_opt-350m/0.6.2/README.md
ADDED
|
@@ -0,0 +1,207 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: facebook/opt-350m
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 22 |
+
- **Model type:** [More Information Needed]
|
| 23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 24 |
+
- **License:** [More Information Needed]
|
| 25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 26 |
+
|
| 27 |
+
### Model Sources [optional]
|
| 28 |
+
|
| 29 |
+
<!-- Provide the basic links for the model. -->
|
| 30 |
+
|
| 31 |
+
- **Repository:** [More Information Needed]
|
| 32 |
+
- **Paper [optional]:** [More Information Needed]
|
| 33 |
+
- **Demo [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
## Uses
|
| 36 |
+
|
| 37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 38 |
+
|
| 39 |
+
### Direct Use
|
| 40 |
+
|
| 41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 42 |
+
|
| 43 |
+
[More Information Needed]
|
| 44 |
+
|
| 45 |
+
### Downstream Use [optional]
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Out-of-Scope Use
|
| 52 |
+
|
| 53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
## Bias, Risks, and Limitations
|
| 58 |
+
|
| 59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
### Recommendations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 66 |
+
|
| 67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 68 |
+
|
| 69 |
+
## How to Get Started with the Model
|
| 70 |
+
|
| 71 |
+
Use the code below to get started with the model.
|
| 72 |
+
|
| 73 |
+
[More Information Needed]
|
| 74 |
+
|
| 75 |
+
## Training Details
|
| 76 |
+
|
| 77 |
+
### Training Data
|
| 78 |
+
|
| 79 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
### Training Procedure
|
| 84 |
+
|
| 85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 86 |
+
|
| 87 |
+
#### Preprocessing [optional]
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
#### Training Hyperparameters
|
| 93 |
+
|
| 94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 95 |
+
|
| 96 |
+
#### Speeds, Sizes, Times [optional]
|
| 97 |
+
|
| 98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 99 |
+
|
| 100 |
+
[More Information Needed]
|
| 101 |
+
|
| 102 |
+
## Evaluation
|
| 103 |
+
|
| 104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 105 |
+
|
| 106 |
+
### Testing Data, Factors & Metrics
|
| 107 |
+
|
| 108 |
+
#### Testing Data
|
| 109 |
+
|
| 110 |
+
<!-- This should link to a Data Card if possible. -->
|
| 111 |
+
|
| 112 |
+
[More Information Needed]
|
| 113 |
+
|
| 114 |
+
#### Factors
|
| 115 |
+
|
| 116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Metrics
|
| 121 |
+
|
| 122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
### Results
|
| 127 |
+
|
| 128 |
+
[More Information Needed]
|
| 129 |
+
|
| 130 |
+
#### Summary
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
## Model Examination [optional]
|
| 135 |
+
|
| 136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 137 |
+
|
| 138 |
+
[More Information Needed]
|
| 139 |
+
|
| 140 |
+
## Environmental Impact
|
| 141 |
+
|
| 142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 143 |
+
|
| 144 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 145 |
+
|
| 146 |
+
- **Hardware Type:** [More Information Needed]
|
| 147 |
+
- **Hours used:** [More Information Needed]
|
| 148 |
+
- **Cloud Provider:** [More Information Needed]
|
| 149 |
+
- **Compute Region:** [More Information Needed]
|
| 150 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 151 |
+
|
| 152 |
+
## Technical Specifications [optional]
|
| 153 |
+
|
| 154 |
+
### Model Architecture and Objective
|
| 155 |
+
|
| 156 |
+
[More Information Needed]
|
| 157 |
+
|
| 158 |
+
### Compute Infrastructure
|
| 159 |
+
|
| 160 |
+
[More Information Needed]
|
| 161 |
+
|
| 162 |
+
#### Hardware
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
#### Software
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
## Citation [optional]
|
| 171 |
+
|
| 172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 173 |
+
|
| 174 |
+
**BibTeX:**
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
**APA:**
|
| 179 |
+
|
| 180 |
+
[More Information Needed]
|
| 181 |
+
|
| 182 |
+
## Glossary [optional]
|
| 183 |
+
|
| 184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## More Information [optional]
|
| 189 |
+
|
| 190 |
+
[More Information Needed]
|
| 191 |
+
|
| 192 |
+
## Model Card Authors [optional]
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## Model Card Contact
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
|
| 201 |
+
## Training procedure
|
| 202 |
+
|
| 203 |
+
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
|
| 207 |
+
- PEFT 0.6.2
|
ia3_opt-350m/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": {
|
| 3 |
+
"base_model_class": "OPTForCausalLM",
|
| 4 |
+
"parent_library": "transformers.models.opt.modeling_opt"
|
| 5 |
+
},
|
| 6 |
+
"base_model_name_or_path": "facebook/opt-350m",
|
| 7 |
+
"fan_in_fan_out": false,
|
| 8 |
+
"feedforward_modules": [
|
| 9 |
+
"fc2"
|
| 10 |
+
],
|
| 11 |
+
"inference_mode": true,
|
| 12 |
+
"init_ia3_weights": false,
|
| 13 |
+
"modules_to_save": null,
|
| 14 |
+
"peft_type": "IA3",
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"q_proj",
|
| 18 |
+
"k_proj",
|
| 19 |
+
"fc2"
|
| 20 |
+
],
|
| 21 |
+
"task_type": null
|
| 22 |
+
}
|
ia3_opt-350m/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c7c93fe9f415a0f029daf4fd99656c672ad297586f1a82e61b0755a6861297c0
|
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size 598856
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ia3_opt-350m/0.6.2/output.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:227dde8197b0422d4f0e6633b0b2f678a8f2602959003db4528e15e2b6b393ee
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| 3 |
+
size 1207639
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lora_conv2d/0.6.2/README.md
ADDED
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@@ -0,0 +1,206 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Model Card for Model ID
|
| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
|
| 20 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 21 |
+
- **Model type:** [More Information Needed]
|
| 22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 23 |
+
- **License:** [More Information Needed]
|
| 24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 25 |
+
|
| 26 |
+
### Model Sources [optional]
|
| 27 |
+
|
| 28 |
+
<!-- Provide the basic links for the model. -->
|
| 29 |
+
|
| 30 |
+
- **Repository:** [More Information Needed]
|
| 31 |
+
- **Paper [optional]:** [More Information Needed]
|
| 32 |
+
- **Demo [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
## Uses
|
| 35 |
+
|
| 36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 37 |
+
|
| 38 |
+
### Direct Use
|
| 39 |
+
|
| 40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 41 |
+
|
| 42 |
+
[More Information Needed]
|
| 43 |
+
|
| 44 |
+
### Downstream Use [optional]
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Out-of-Scope Use
|
| 51 |
+
|
| 52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
## Bias, Risks, and Limitations
|
| 57 |
+
|
| 58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
### Recommendations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 65 |
+
|
| 66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 67 |
+
|
| 68 |
+
## How to Get Started with the Model
|
| 69 |
+
|
| 70 |
+
Use the code below to get started with the model.
|
| 71 |
+
|
| 72 |
+
[More Information Needed]
|
| 73 |
+
|
| 74 |
+
## Training Details
|
| 75 |
+
|
| 76 |
+
### Training Data
|
| 77 |
+
|
| 78 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
### Training Procedure
|
| 83 |
+
|
| 84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 85 |
+
|
| 86 |
+
#### Preprocessing [optional]
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
#### Training Hyperparameters
|
| 92 |
+
|
| 93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 94 |
+
|
| 95 |
+
#### Speeds, Sizes, Times [optional]
|
| 96 |
+
|
| 97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 98 |
+
|
| 99 |
+
[More Information Needed]
|
| 100 |
+
|
| 101 |
+
## Evaluation
|
| 102 |
+
|
| 103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 104 |
+
|
| 105 |
+
### Testing Data, Factors & Metrics
|
| 106 |
+
|
| 107 |
+
#### Testing Data
|
| 108 |
+
|
| 109 |
+
<!-- This should link to a Data Card if possible. -->
|
| 110 |
+
|
| 111 |
+
[More Information Needed]
|
| 112 |
+
|
| 113 |
+
#### Factors
|
| 114 |
+
|
| 115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Metrics
|
| 120 |
+
|
| 121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
### Results
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Summary
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
## Model Examination [optional]
|
| 134 |
+
|
| 135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
## Environmental Impact
|
| 140 |
+
|
| 141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 142 |
+
|
| 143 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 144 |
+
|
| 145 |
+
- **Hardware Type:** [More Information Needed]
|
| 146 |
+
- **Hours used:** [More Information Needed]
|
| 147 |
+
- **Cloud Provider:** [More Information Needed]
|
| 148 |
+
- **Compute Region:** [More Information Needed]
|
| 149 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 150 |
+
|
| 151 |
+
## Technical Specifications [optional]
|
| 152 |
+
|
| 153 |
+
### Model Architecture and Objective
|
| 154 |
+
|
| 155 |
+
[More Information Needed]
|
| 156 |
+
|
| 157 |
+
### Compute Infrastructure
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
#### Hardware
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Software
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
## Citation [optional]
|
| 170 |
+
|
| 171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 172 |
+
|
| 173 |
+
**BibTeX:**
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
**APA:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
## Glossary [optional]
|
| 182 |
+
|
| 183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## More Information [optional]
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Model Card Authors [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Contact
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
|
| 200 |
+
## Training procedure
|
| 201 |
+
|
| 202 |
+
|
| 203 |
+
### Framework versions
|
| 204 |
+
|
| 205 |
+
|
| 206 |
+
- PEFT 0.6.2
|
lora_conv2d/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,25 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "ModelConv2D",
|
| 5 |
+
"parent_library": "test_regression"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": false,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"lora_alpha": 8,
|
| 15 |
+
"lora_dropout": 0.0,
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 8,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"conv2d"
|
| 23 |
+
],
|
| 24 |
+
"task_type": null
|
| 25 |
+
}
|
lora_conv2d/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd9b1435a896564dff9bd097ac96ad1b330ab458a4d42fefb95f23a5e88d310e
|
| 3 |
+
size 2000
|
lora_conv2d/0.6.2/output.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1133f060fa4c33a00d693a12f1ce5da805a7a83b8d103b91d0b243b9cd0f2a22
|
| 3 |
+
size 1175
|
lora_emb_conv1d/0.6.2/README.md
ADDED
|
@@ -0,0 +1,206 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Model Card for Model ID
|
| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
|
| 20 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 21 |
+
- **Model type:** [More Information Needed]
|
| 22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 23 |
+
- **License:** [More Information Needed]
|
| 24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 25 |
+
|
| 26 |
+
### Model Sources [optional]
|
| 27 |
+
|
| 28 |
+
<!-- Provide the basic links for the model. -->
|
| 29 |
+
|
| 30 |
+
- **Repository:** [More Information Needed]
|
| 31 |
+
- **Paper [optional]:** [More Information Needed]
|
| 32 |
+
- **Demo [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
## Uses
|
| 35 |
+
|
| 36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 37 |
+
|
| 38 |
+
### Direct Use
|
| 39 |
+
|
| 40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 41 |
+
|
| 42 |
+
[More Information Needed]
|
| 43 |
+
|
| 44 |
+
### Downstream Use [optional]
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Out-of-Scope Use
|
| 51 |
+
|
| 52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
## Bias, Risks, and Limitations
|
| 57 |
+
|
| 58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
### Recommendations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 65 |
+
|
| 66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 67 |
+
|
| 68 |
+
## How to Get Started with the Model
|
| 69 |
+
|
| 70 |
+
Use the code below to get started with the model.
|
| 71 |
+
|
| 72 |
+
[More Information Needed]
|
| 73 |
+
|
| 74 |
+
## Training Details
|
| 75 |
+
|
| 76 |
+
### Training Data
|
| 77 |
+
|
| 78 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
### Training Procedure
|
| 83 |
+
|
| 84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 85 |
+
|
| 86 |
+
#### Preprocessing [optional]
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
#### Training Hyperparameters
|
| 92 |
+
|
| 93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 94 |
+
|
| 95 |
+
#### Speeds, Sizes, Times [optional]
|
| 96 |
+
|
| 97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 98 |
+
|
| 99 |
+
[More Information Needed]
|
| 100 |
+
|
| 101 |
+
## Evaluation
|
| 102 |
+
|
| 103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 104 |
+
|
| 105 |
+
### Testing Data, Factors & Metrics
|
| 106 |
+
|
| 107 |
+
#### Testing Data
|
| 108 |
+
|
| 109 |
+
<!-- This should link to a Data Card if possible. -->
|
| 110 |
+
|
| 111 |
+
[More Information Needed]
|
| 112 |
+
|
| 113 |
+
#### Factors
|
| 114 |
+
|
| 115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Metrics
|
| 120 |
+
|
| 121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
### Results
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Summary
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
## Model Examination [optional]
|
| 134 |
+
|
| 135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
## Environmental Impact
|
| 140 |
+
|
| 141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 142 |
+
|
| 143 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 144 |
+
|
| 145 |
+
- **Hardware Type:** [More Information Needed]
|
| 146 |
+
- **Hours used:** [More Information Needed]
|
| 147 |
+
- **Cloud Provider:** [More Information Needed]
|
| 148 |
+
- **Compute Region:** [More Information Needed]
|
| 149 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 150 |
+
|
| 151 |
+
## Technical Specifications [optional]
|
| 152 |
+
|
| 153 |
+
### Model Architecture and Objective
|
| 154 |
+
|
| 155 |
+
[More Information Needed]
|
| 156 |
+
|
| 157 |
+
### Compute Infrastructure
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
#### Hardware
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Software
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
## Citation [optional]
|
| 170 |
+
|
| 171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 172 |
+
|
| 173 |
+
**BibTeX:**
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
**APA:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
## Glossary [optional]
|
| 182 |
+
|
| 183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## More Information [optional]
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Model Card Authors [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Contact
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
|
| 200 |
+
## Training procedure
|
| 201 |
+
|
| 202 |
+
|
| 203 |
+
### Framework versions
|
| 204 |
+
|
| 205 |
+
|
| 206 |
+
- PEFT 0.6.2
|
lora_emb_conv1d/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "ModelEmbConv1D",
|
| 5 |
+
"parent_library": "test_regression"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": true,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": false,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"lora_alpha": 8,
|
| 15 |
+
"lora_dropout": 0.0,
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 8,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"emb",
|
| 23 |
+
"conv1d"
|
| 24 |
+
],
|
| 25 |
+
"task_type": null
|
| 26 |
+
}
|
lora_emb_conv1d/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d1b535c7c7b3338f55c6c5b085b61d353d2a413f258bf6c4c05d5c8e6e00534
|
| 3 |
+
size 3976
|
lora_emb_conv1d/0.6.2/output.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7587645064a53bf568a92ecbc0e5f6f90fe84aa46c35402287b5d7bae3b4a015
|
| 3 |
+
size 1239
|
lora_mlp/0.6.2/README.md
ADDED
|
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
|
|
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|
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|
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|
|
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|
|
|
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|
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|
|
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|
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|
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|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Model Card for Model ID
|
| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
|
| 20 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 21 |
+
- **Model type:** [More Information Needed]
|
| 22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 23 |
+
- **License:** [More Information Needed]
|
| 24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 25 |
+
|
| 26 |
+
### Model Sources [optional]
|
| 27 |
+
|
| 28 |
+
<!-- Provide the basic links for the model. -->
|
| 29 |
+
|
| 30 |
+
- **Repository:** [More Information Needed]
|
| 31 |
+
- **Paper [optional]:** [More Information Needed]
|
| 32 |
+
- **Demo [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
## Uses
|
| 35 |
+
|
| 36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 37 |
+
|
| 38 |
+
### Direct Use
|
| 39 |
+
|
| 40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 41 |
+
|
| 42 |
+
[More Information Needed]
|
| 43 |
+
|
| 44 |
+
### Downstream Use [optional]
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Out-of-Scope Use
|
| 51 |
+
|
| 52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
## Bias, Risks, and Limitations
|
| 57 |
+
|
| 58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
### Recommendations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 65 |
+
|
| 66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 67 |
+
|
| 68 |
+
## How to Get Started with the Model
|
| 69 |
+
|
| 70 |
+
Use the code below to get started with the model.
|
| 71 |
+
|
| 72 |
+
[More Information Needed]
|
| 73 |
+
|
| 74 |
+
## Training Details
|
| 75 |
+
|
| 76 |
+
### Training Data
|
| 77 |
+
|
| 78 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
### Training Procedure
|
| 83 |
+
|
| 84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 85 |
+
|
| 86 |
+
#### Preprocessing [optional]
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
#### Training Hyperparameters
|
| 92 |
+
|
| 93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 94 |
+
|
| 95 |
+
#### Speeds, Sizes, Times [optional]
|
| 96 |
+
|
| 97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 98 |
+
|
| 99 |
+
[More Information Needed]
|
| 100 |
+
|
| 101 |
+
## Evaluation
|
| 102 |
+
|
| 103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 104 |
+
|
| 105 |
+
### Testing Data, Factors & Metrics
|
| 106 |
+
|
| 107 |
+
#### Testing Data
|
| 108 |
+
|
| 109 |
+
<!-- This should link to a Data Card if possible. -->
|
| 110 |
+
|
| 111 |
+
[More Information Needed]
|
| 112 |
+
|
| 113 |
+
#### Factors
|
| 114 |
+
|
| 115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Metrics
|
| 120 |
+
|
| 121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
### Results
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Summary
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
## Model Examination [optional]
|
| 134 |
+
|
| 135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
## Environmental Impact
|
| 140 |
+
|
| 141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 142 |
+
|
| 143 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 144 |
+
|
| 145 |
+
- **Hardware Type:** [More Information Needed]
|
| 146 |
+
- **Hours used:** [More Information Needed]
|
| 147 |
+
- **Cloud Provider:** [More Information Needed]
|
| 148 |
+
- **Compute Region:** [More Information Needed]
|
| 149 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 150 |
+
|
| 151 |
+
## Technical Specifications [optional]
|
| 152 |
+
|
| 153 |
+
### Model Architecture and Objective
|
| 154 |
+
|
| 155 |
+
[More Information Needed]
|
| 156 |
+
|
| 157 |
+
### Compute Infrastructure
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
#### Hardware
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Software
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
## Citation [optional]
|
| 170 |
+
|
| 171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 172 |
+
|
| 173 |
+
**BibTeX:**
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
**APA:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
## Glossary [optional]
|
| 182 |
+
|
| 183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## More Information [optional]
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Model Card Authors [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Contact
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
|
| 200 |
+
## Training procedure
|
| 201 |
+
|
| 202 |
+
|
| 203 |
+
### Framework versions
|
| 204 |
+
|
| 205 |
+
|
| 206 |
+
- PEFT 0.6.2
|
lora_mlp/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "MLP",
|
| 5 |
+
"parent_library": "test_regression"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": false,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"lora_alpha": 8,
|
| 15 |
+
"lora_dropout": 0.0,
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 8,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"lin0"
|
| 23 |
+
],
|
| 24 |
+
"task_type": null
|
| 25 |
+
}
|
lora_mlp/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5dd16d2ccf171be88c29650a5780635f0418d21e8c74f7e4e919c3498e74d6a0
|
| 3 |
+
size 1192
|
lora_mlp/0.6.2/output.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50bcd27616ca78b6a55df1f21901d25ff81b4bcc4b8633e9de5456be9e76ede2
|
| 3 |
+
size 1239
|
lora_mlp_modules_to_save/0.6.2/README.md
ADDED
|
@@ -0,0 +1,206 @@
|
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|
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Model Card for Model ID
|
| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
|
| 20 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 21 |
+
- **Model type:** [More Information Needed]
|
| 22 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 23 |
+
- **License:** [More Information Needed]
|
| 24 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 25 |
+
|
| 26 |
+
### Model Sources [optional]
|
| 27 |
+
|
| 28 |
+
<!-- Provide the basic links for the model. -->
|
| 29 |
+
|
| 30 |
+
- **Repository:** [More Information Needed]
|
| 31 |
+
- **Paper [optional]:** [More Information Needed]
|
| 32 |
+
- **Demo [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
## Uses
|
| 35 |
+
|
| 36 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 37 |
+
|
| 38 |
+
### Direct Use
|
| 39 |
+
|
| 40 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 41 |
+
|
| 42 |
+
[More Information Needed]
|
| 43 |
+
|
| 44 |
+
### Downstream Use [optional]
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Out-of-Scope Use
|
| 51 |
+
|
| 52 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
## Bias, Risks, and Limitations
|
| 57 |
+
|
| 58 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
### Recommendations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 65 |
+
|
| 66 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 67 |
+
|
| 68 |
+
## How to Get Started with the Model
|
| 69 |
+
|
| 70 |
+
Use the code below to get started with the model.
|
| 71 |
+
|
| 72 |
+
[More Information Needed]
|
| 73 |
+
|
| 74 |
+
## Training Details
|
| 75 |
+
|
| 76 |
+
### Training Data
|
| 77 |
+
|
| 78 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
### Training Procedure
|
| 83 |
+
|
| 84 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 85 |
+
|
| 86 |
+
#### Preprocessing [optional]
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
#### Training Hyperparameters
|
| 92 |
+
|
| 93 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 94 |
+
|
| 95 |
+
#### Speeds, Sizes, Times [optional]
|
| 96 |
+
|
| 97 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 98 |
+
|
| 99 |
+
[More Information Needed]
|
| 100 |
+
|
| 101 |
+
## Evaluation
|
| 102 |
+
|
| 103 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 104 |
+
|
| 105 |
+
### Testing Data, Factors & Metrics
|
| 106 |
+
|
| 107 |
+
#### Testing Data
|
| 108 |
+
|
| 109 |
+
<!-- This should link to a Data Card if possible. -->
|
| 110 |
+
|
| 111 |
+
[More Information Needed]
|
| 112 |
+
|
| 113 |
+
#### Factors
|
| 114 |
+
|
| 115 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Metrics
|
| 120 |
+
|
| 121 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
### Results
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Summary
|
| 130 |
+
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
## Model Examination [optional]
|
| 134 |
+
|
| 135 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
## Environmental Impact
|
| 140 |
+
|
| 141 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 142 |
+
|
| 143 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 144 |
+
|
| 145 |
+
- **Hardware Type:** [More Information Needed]
|
| 146 |
+
- **Hours used:** [More Information Needed]
|
| 147 |
+
- **Cloud Provider:** [More Information Needed]
|
| 148 |
+
- **Compute Region:** [More Information Needed]
|
| 149 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 150 |
+
|
| 151 |
+
## Technical Specifications [optional]
|
| 152 |
+
|
| 153 |
+
### Model Architecture and Objective
|
| 154 |
+
|
| 155 |
+
[More Information Needed]
|
| 156 |
+
|
| 157 |
+
### Compute Infrastructure
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
#### Hardware
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Software
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
## Citation [optional]
|
| 170 |
+
|
| 171 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 172 |
+
|
| 173 |
+
**BibTeX:**
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
**APA:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
## Glossary [optional]
|
| 182 |
+
|
| 183 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## More Information [optional]
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Model Card Authors [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Contact
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
|
| 200 |
+
## Training procedure
|
| 201 |
+
|
| 202 |
+
|
| 203 |
+
### Framework versions
|
| 204 |
+
|
| 205 |
+
|
| 206 |
+
- PEFT 0.6.2
|
lora_mlp_modules_to_save/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "MLP",
|
| 5 |
+
"parent_library": "test_regression"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": false,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"lora_alpha": 8,
|
| 15 |
+
"lora_dropout": 0.0,
|
| 16 |
+
"modules_to_save": [
|
| 17 |
+
"lin1"
|
| 18 |
+
],
|
| 19 |
+
"peft_type": "LORA",
|
| 20 |
+
"r": 8,
|
| 21 |
+
"rank_pattern": {},
|
| 22 |
+
"revision": null,
|
| 23 |
+
"target_modules": [
|
| 24 |
+
"lin0"
|
| 25 |
+
],
|
| 26 |
+
"task_type": null
|
| 27 |
+
}
|
lora_mlp_modules_to_save/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0c1939cb8cb41a8bb5f05238d37aa77d18d96d1d7a9d3afa6d6ff2d2ef9805ea
|
| 3 |
+
size 1528
|
lora_mlp_modules_to_save/0.6.2/output.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50bcd27616ca78b6a55df1f21901d25ff81b4bcc4b8633e9de5456be9e76ede2
|
| 3 |
+
size 1239
|
lora_opt-350m/0.6.2/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
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|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: facebook/opt-350m
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 22 |
+
- **Model type:** [More Information Needed]
|
| 23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 24 |
+
- **License:** [More Information Needed]
|
| 25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 26 |
+
|
| 27 |
+
### Model Sources [optional]
|
| 28 |
+
|
| 29 |
+
<!-- Provide the basic links for the model. -->
|
| 30 |
+
|
| 31 |
+
- **Repository:** [More Information Needed]
|
| 32 |
+
- **Paper [optional]:** [More Information Needed]
|
| 33 |
+
- **Demo [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
## Uses
|
| 36 |
+
|
| 37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 38 |
+
|
| 39 |
+
### Direct Use
|
| 40 |
+
|
| 41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 42 |
+
|
| 43 |
+
[More Information Needed]
|
| 44 |
+
|
| 45 |
+
### Downstream Use [optional]
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Out-of-Scope Use
|
| 52 |
+
|
| 53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
## Bias, Risks, and Limitations
|
| 58 |
+
|
| 59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
### Recommendations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 66 |
+
|
| 67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 68 |
+
|
| 69 |
+
## How to Get Started with the Model
|
| 70 |
+
|
| 71 |
+
Use the code below to get started with the model.
|
| 72 |
+
|
| 73 |
+
[More Information Needed]
|
| 74 |
+
|
| 75 |
+
## Training Details
|
| 76 |
+
|
| 77 |
+
### Training Data
|
| 78 |
+
|
| 79 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
### Training Procedure
|
| 84 |
+
|
| 85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 86 |
+
|
| 87 |
+
#### Preprocessing [optional]
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
#### Training Hyperparameters
|
| 93 |
+
|
| 94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 95 |
+
|
| 96 |
+
#### Speeds, Sizes, Times [optional]
|
| 97 |
+
|
| 98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 99 |
+
|
| 100 |
+
[More Information Needed]
|
| 101 |
+
|
| 102 |
+
## Evaluation
|
| 103 |
+
|
| 104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 105 |
+
|
| 106 |
+
### Testing Data, Factors & Metrics
|
| 107 |
+
|
| 108 |
+
#### Testing Data
|
| 109 |
+
|
| 110 |
+
<!-- This should link to a Data Card if possible. -->
|
| 111 |
+
|
| 112 |
+
[More Information Needed]
|
| 113 |
+
|
| 114 |
+
#### Factors
|
| 115 |
+
|
| 116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Metrics
|
| 121 |
+
|
| 122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
### Results
|
| 127 |
+
|
| 128 |
+
[More Information Needed]
|
| 129 |
+
|
| 130 |
+
#### Summary
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
## Model Examination [optional]
|
| 135 |
+
|
| 136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 137 |
+
|
| 138 |
+
[More Information Needed]
|
| 139 |
+
|
| 140 |
+
## Environmental Impact
|
| 141 |
+
|
| 142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 143 |
+
|
| 144 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 145 |
+
|
| 146 |
+
- **Hardware Type:** [More Information Needed]
|
| 147 |
+
- **Hours used:** [More Information Needed]
|
| 148 |
+
- **Cloud Provider:** [More Information Needed]
|
| 149 |
+
- **Compute Region:** [More Information Needed]
|
| 150 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 151 |
+
|
| 152 |
+
## Technical Specifications [optional]
|
| 153 |
+
|
| 154 |
+
### Model Architecture and Objective
|
| 155 |
+
|
| 156 |
+
[More Information Needed]
|
| 157 |
+
|
| 158 |
+
### Compute Infrastructure
|
| 159 |
+
|
| 160 |
+
[More Information Needed]
|
| 161 |
+
|
| 162 |
+
#### Hardware
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
#### Software
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
## Citation [optional]
|
| 171 |
+
|
| 172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 173 |
+
|
| 174 |
+
**BibTeX:**
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
**APA:**
|
| 179 |
+
|
| 180 |
+
[More Information Needed]
|
| 181 |
+
|
| 182 |
+
## Glossary [optional]
|
| 183 |
+
|
| 184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## More Information [optional]
|
| 189 |
+
|
| 190 |
+
[More Information Needed]
|
| 191 |
+
|
| 192 |
+
## Model Card Authors [optional]
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## Model Card Contact
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
|
| 201 |
+
## Training procedure
|
| 202 |
+
|
| 203 |
+
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
|
| 207 |
+
- PEFT 0.6.2
|
lora_opt-350m/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "OPTForCausalLM",
|
| 5 |
+
"parent_library": "transformers.models.opt.modeling_opt"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "facebook/opt-350m",
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": false,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"lora_alpha": 8,
|
| 15 |
+
"lora_dropout": 0.0,
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 8,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"q_proj",
|
| 23 |
+
"v_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": null
|
| 26 |
+
}
|
lora_opt-350m/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:82751e30bebc19cbfa01212631d08c7032fc3a75996dadf4da1d29298fdd736f
|
| 3 |
+
size 3159096
|
lora_opt-350m/0.6.2/output.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:788d8589a3e462ff482ff8926366f18b4bcf9c1d6af2bb1158eff483668645ef
|
| 3 |
+
size 1207639
|
lora_opt-350m_bnb_4bit/0.6.2/README.md
ADDED
|
@@ -0,0 +1,219 @@
|
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: facebook/opt-350m
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 22 |
+
- **Model type:** [More Information Needed]
|
| 23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 24 |
+
- **License:** [More Information Needed]
|
| 25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 26 |
+
|
| 27 |
+
### Model Sources [optional]
|
| 28 |
+
|
| 29 |
+
<!-- Provide the basic links for the model. -->
|
| 30 |
+
|
| 31 |
+
- **Repository:** [More Information Needed]
|
| 32 |
+
- **Paper [optional]:** [More Information Needed]
|
| 33 |
+
- **Demo [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
## Uses
|
| 36 |
+
|
| 37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 38 |
+
|
| 39 |
+
### Direct Use
|
| 40 |
+
|
| 41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 42 |
+
|
| 43 |
+
[More Information Needed]
|
| 44 |
+
|
| 45 |
+
### Downstream Use [optional]
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Out-of-Scope Use
|
| 52 |
+
|
| 53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
## Bias, Risks, and Limitations
|
| 58 |
+
|
| 59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
### Recommendations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 66 |
+
|
| 67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 68 |
+
|
| 69 |
+
## How to Get Started with the Model
|
| 70 |
+
|
| 71 |
+
Use the code below to get started with the model.
|
| 72 |
+
|
| 73 |
+
[More Information Needed]
|
| 74 |
+
|
| 75 |
+
## Training Details
|
| 76 |
+
|
| 77 |
+
### Training Data
|
| 78 |
+
|
| 79 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
### Training Procedure
|
| 84 |
+
|
| 85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 86 |
+
|
| 87 |
+
#### Preprocessing [optional]
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
#### Training Hyperparameters
|
| 93 |
+
|
| 94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 95 |
+
|
| 96 |
+
#### Speeds, Sizes, Times [optional]
|
| 97 |
+
|
| 98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 99 |
+
|
| 100 |
+
[More Information Needed]
|
| 101 |
+
|
| 102 |
+
## Evaluation
|
| 103 |
+
|
| 104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 105 |
+
|
| 106 |
+
### Testing Data, Factors & Metrics
|
| 107 |
+
|
| 108 |
+
#### Testing Data
|
| 109 |
+
|
| 110 |
+
<!-- This should link to a Data Card if possible. -->
|
| 111 |
+
|
| 112 |
+
[More Information Needed]
|
| 113 |
+
|
| 114 |
+
#### Factors
|
| 115 |
+
|
| 116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Metrics
|
| 121 |
+
|
| 122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
### Results
|
| 127 |
+
|
| 128 |
+
[More Information Needed]
|
| 129 |
+
|
| 130 |
+
#### Summary
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
## Model Examination [optional]
|
| 135 |
+
|
| 136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 137 |
+
|
| 138 |
+
[More Information Needed]
|
| 139 |
+
|
| 140 |
+
## Environmental Impact
|
| 141 |
+
|
| 142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 143 |
+
|
| 144 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 145 |
+
|
| 146 |
+
- **Hardware Type:** [More Information Needed]
|
| 147 |
+
- **Hours used:** [More Information Needed]
|
| 148 |
+
- **Cloud Provider:** [More Information Needed]
|
| 149 |
+
- **Compute Region:** [More Information Needed]
|
| 150 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 151 |
+
|
| 152 |
+
## Technical Specifications [optional]
|
| 153 |
+
|
| 154 |
+
### Model Architecture and Objective
|
| 155 |
+
|
| 156 |
+
[More Information Needed]
|
| 157 |
+
|
| 158 |
+
### Compute Infrastructure
|
| 159 |
+
|
| 160 |
+
[More Information Needed]
|
| 161 |
+
|
| 162 |
+
#### Hardware
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
#### Software
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
## Citation [optional]
|
| 171 |
+
|
| 172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 173 |
+
|
| 174 |
+
**BibTeX:**
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
**APA:**
|
| 179 |
+
|
| 180 |
+
[More Information Needed]
|
| 181 |
+
|
| 182 |
+
## Glossary [optional]
|
| 183 |
+
|
| 184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## More Information [optional]
|
| 189 |
+
|
| 190 |
+
[More Information Needed]
|
| 191 |
+
|
| 192 |
+
## Model Card Authors [optional]
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## Model Card Contact
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
|
| 201 |
+
## Training procedure
|
| 202 |
+
|
| 203 |
+
|
| 204 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 205 |
+
- quant_method: bitsandbytes
|
| 206 |
+
- load_in_8bit: False
|
| 207 |
+
- load_in_4bit: True
|
| 208 |
+
- llm_int8_threshold: 6.0
|
| 209 |
+
- llm_int8_skip_modules: None
|
| 210 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 211 |
+
- llm_int8_has_fp16_weight: False
|
| 212 |
+
- bnb_4bit_quant_type: fp4
|
| 213 |
+
- bnb_4bit_use_double_quant: False
|
| 214 |
+
- bnb_4bit_compute_dtype: float32
|
| 215 |
+
|
| 216 |
+
### Framework versions
|
| 217 |
+
|
| 218 |
+
|
| 219 |
+
- PEFT 0.6.2
|
lora_opt-350m_bnb_4bit/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "OPTForCausalLM",
|
| 5 |
+
"parent_library": "transformers.models.opt.modeling_opt"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "facebook/opt-350m",
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": false,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"lora_alpha": 8,
|
| 15 |
+
"lora_dropout": 0.0,
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 8,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"q_proj",
|
| 23 |
+
"v_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": null
|
| 26 |
+
}
|
lora_opt-350m_bnb_4bit/0.6.2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ece009e7ac28447a45cef4a37c5a4a0048b5a5b12261e37464fa762771b94a86
|
| 3 |
+
size 3159096
|
lora_opt-350m_bnb_4bit/0.6.2/output.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:00942ada33ef2fcbe9621268e1cce8c59aeeb71dd1c79101498d00c1881f07f5
|
| 3 |
+
size 1207639
|
lora_opt-350m_bnb_8bit/0.6.2/README.md
ADDED
|
@@ -0,0 +1,219 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: facebook/opt-350m
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 22 |
+
- **Model type:** [More Information Needed]
|
| 23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 24 |
+
- **License:** [More Information Needed]
|
| 25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 26 |
+
|
| 27 |
+
### Model Sources [optional]
|
| 28 |
+
|
| 29 |
+
<!-- Provide the basic links for the model. -->
|
| 30 |
+
|
| 31 |
+
- **Repository:** [More Information Needed]
|
| 32 |
+
- **Paper [optional]:** [More Information Needed]
|
| 33 |
+
- **Demo [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
## Uses
|
| 36 |
+
|
| 37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 38 |
+
|
| 39 |
+
### Direct Use
|
| 40 |
+
|
| 41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 42 |
+
|
| 43 |
+
[More Information Needed]
|
| 44 |
+
|
| 45 |
+
### Downstream Use [optional]
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Out-of-Scope Use
|
| 52 |
+
|
| 53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
## Bias, Risks, and Limitations
|
| 58 |
+
|
| 59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
### Recommendations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 66 |
+
|
| 67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 68 |
+
|
| 69 |
+
## How to Get Started with the Model
|
| 70 |
+
|
| 71 |
+
Use the code below to get started with the model.
|
| 72 |
+
|
| 73 |
+
[More Information Needed]
|
| 74 |
+
|
| 75 |
+
## Training Details
|
| 76 |
+
|
| 77 |
+
### Training Data
|
| 78 |
+
|
| 79 |
+
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
### Training Procedure
|
| 84 |
+
|
| 85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 86 |
+
|
| 87 |
+
#### Preprocessing [optional]
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
#### Training Hyperparameters
|
| 93 |
+
|
| 94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 95 |
+
|
| 96 |
+
#### Speeds, Sizes, Times [optional]
|
| 97 |
+
|
| 98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 99 |
+
|
| 100 |
+
[More Information Needed]
|
| 101 |
+
|
| 102 |
+
## Evaluation
|
| 103 |
+
|
| 104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 105 |
+
|
| 106 |
+
### Testing Data, Factors & Metrics
|
| 107 |
+
|
| 108 |
+
#### Testing Data
|
| 109 |
+
|
| 110 |
+
<!-- This should link to a Data Card if possible. -->
|
| 111 |
+
|
| 112 |
+
[More Information Needed]
|
| 113 |
+
|
| 114 |
+
#### Factors
|
| 115 |
+
|
| 116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Metrics
|
| 121 |
+
|
| 122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
### Results
|
| 127 |
+
|
| 128 |
+
[More Information Needed]
|
| 129 |
+
|
| 130 |
+
#### Summary
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
## Model Examination [optional]
|
| 135 |
+
|
| 136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 137 |
+
|
| 138 |
+
[More Information Needed]
|
| 139 |
+
|
| 140 |
+
## Environmental Impact
|
| 141 |
+
|
| 142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 143 |
+
|
| 144 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 145 |
+
|
| 146 |
+
- **Hardware Type:** [More Information Needed]
|
| 147 |
+
- **Hours used:** [More Information Needed]
|
| 148 |
+
- **Cloud Provider:** [More Information Needed]
|
| 149 |
+
- **Compute Region:** [More Information Needed]
|
| 150 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 151 |
+
|
| 152 |
+
## Technical Specifications [optional]
|
| 153 |
+
|
| 154 |
+
### Model Architecture and Objective
|
| 155 |
+
|
| 156 |
+
[More Information Needed]
|
| 157 |
+
|
| 158 |
+
### Compute Infrastructure
|
| 159 |
+
|
| 160 |
+
[More Information Needed]
|
| 161 |
+
|
| 162 |
+
#### Hardware
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
#### Software
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
## Citation [optional]
|
| 171 |
+
|
| 172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 173 |
+
|
| 174 |
+
**BibTeX:**
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
**APA:**
|
| 179 |
+
|
| 180 |
+
[More Information Needed]
|
| 181 |
+
|
| 182 |
+
## Glossary [optional]
|
| 183 |
+
|
| 184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## More Information [optional]
|
| 189 |
+
|
| 190 |
+
[More Information Needed]
|
| 191 |
+
|
| 192 |
+
## Model Card Authors [optional]
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## Model Card Contact
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
|
| 201 |
+
## Training procedure
|
| 202 |
+
|
| 203 |
+
|
| 204 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 205 |
+
- quant_method: bitsandbytes
|
| 206 |
+
- load_in_8bit: True
|
| 207 |
+
- load_in_4bit: False
|
| 208 |
+
- llm_int8_threshold: 6.0
|
| 209 |
+
- llm_int8_skip_modules: None
|
| 210 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 211 |
+
- llm_int8_has_fp16_weight: False
|
| 212 |
+
- bnb_4bit_quant_type: fp4
|
| 213 |
+
- bnb_4bit_use_double_quant: False
|
| 214 |
+
- bnb_4bit_compute_dtype: float32
|
| 215 |
+
|
| 216 |
+
### Framework versions
|
| 217 |
+
|
| 218 |
+
|
| 219 |
+
- PEFT 0.6.2
|
lora_opt-350m_bnb_8bit/0.6.2/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "OPTForCausalLM",
|
| 5 |
+
"parent_library": "transformers.models.opt.modeling_opt"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "facebook/opt-350m",
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": false,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"lora_alpha": 8,
|
| 15 |
+
"lora_dropout": 0.0,
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 8,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"q_proj",
|
| 23 |
+
"v_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": null
|
| 26 |
+
}
|