Sacha-Mistral-0
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3840
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.1253 | 1.0 | 20 | 5.3593 |
| 2.7836 | 2.0 | 40 | 2.0386 |
| 0.9764 | 3.0 | 60 | 0.7324 |
| 0.4854 | 4.0 | 80 | 0.4327 |
| 0.3828 | 5.0 | 100 | 0.3840 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0
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Model tree for Nac31/Sacha-Mistral-0
Base model
mistralai/Mistral-7B-v0.1