runpod-test
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: 1.1695
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 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 |
|---|---|---|---|
| 1.2093 | 1.0 | 10 | 1.2006 |
| 1.1937 | 2.0 | 20 | 1.1875 |
| 1.182 | 3.0 | 30 | 1.1778 |
| 1.1739 | 4.0 | 40 | 1.1716 |
| 1.1691 | 5.0 | 50 | 1.1695 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.1.0+cu118
- Datasets 3.3.2
- Tokenizers 0.21.0
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Base model
mistralai/Mistral-7B-v0.1