zephyr-hagrid-rag-agent-3b
This model is a fine-tuned version of stabilityai/stablelm-zephyr-3b on the erbacher/rag-and-roll-hagrid dataset. It achieves the following results on the evaluation set:
- Loss: 1.3059
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3937 | 1.0 | 120 | 1.3209 |
| 1.2055 | 2.0 | 240 | 1.3002 |
| 1.2217 | 2.99 | 360 | 1.2983 |
| 1.1003 | 4.0 | 481 | 1.3038 |
| 1.2236 | 4.99 | 600 | 1.3059 |
Framework versions
- PEFT 0.12.0
- Transformers 4.38.2
- Pytorch 2.0.1
- Datasets 2.20.0
- Tokenizers 0.15.2
- Downloads last month
- 2
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for hanane/zephyr-hagrid-rag-agent-3b
Base model
stabilityai/stablelm-zephyr-3b