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Colabng
/
tweets_classifier

Text Classification
PEFT
TensorBoard
Safetensors
Transformers
bert
lora
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xet
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Colabng/tweets_classifier

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Files changed (6) hide show
  1. README.md +5 -5
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. runs/Sep06_21-31-33_7aceba5bb9af/events.out.tfevents.1757194293.7aceba5bb9af +3 -0
  5. runs/Sep06_21-37-11_7aceba5bb9af/events.out.tfevents.1757194631.7aceba5bb9af +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -20,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2313
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  - Accuracy: 0.94
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- - Auc: 0.97
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  ## Model description
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@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
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- | 0.4408 | 1.0 | 27 | 0.2024 | 0.94 | 0.96 |
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- | 0.1891 | 2.0 | 54 | 0.2313 | 0.94 | 0.97 |
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  ### Framework versions
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  - PEFT 0.16.0
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  - Transformers 4.53.3
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- - Pytorch 2.7.1
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  - Datasets 4.0.0
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  - Tokenizers 0.21.2
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2777
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  - Accuracy: 0.94
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+ - Auc: 0.98
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
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+ | 0.3334 | 1.0 | 27 | 0.2455 | 0.92 | 0.97 |
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+ | 0.1229 | 2.0 | 54 | 0.2777 | 0.94 | 0.98 |
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  ### Framework versions
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  - PEFT 0.16.0
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  - Transformers 4.53.3
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+ - Pytorch 2.7.1+cpu
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  - Datasets 4.0.0
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  - Tokenizers 0.21.2
adapter_config.json CHANGED
@@ -29,8 +29,8 @@
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  "revision": null,
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  "target_modules": [
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  "query",
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- "key",
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- "value"
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  ],
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  "task_type": "SEQ_CLS",
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  "trainable_token_indices": null,
 
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  "revision": null,
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  "target_modules": [
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  "query",
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+ "value",
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+ "key"
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  ],
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  "task_type": "SEQ_CLS",
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  "trainable_token_indices": null,
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