lc_full_balanced
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5766
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6135 | 1.0 | 282 | 1.5535 |
| 1.7292 | 2.0 | 564 | 1.5380 |
| 1.502 | 3.0 | 846 | 1.5312 |
| 1.5672 | 4.0 | 1128 | 1.5347 |
| 1.3714 | 5.0 | 1410 | 1.5365 |
| 1.3268 | 6.0 | 1692 | 1.5415 |
| 1.6069 | 7.0 | 1974 | 1.5425 |
| 1.4057 | 8.0 | 2256 | 1.5483 |
| 1.3989 | 9.0 | 2538 | 1.5578 |
| 1.6766 | 10.0 | 2820 | 1.5601 |
| 1.4027 | 11.0 | 3102 | 1.5673 |
| 1.3554 | 12.0 | 3384 | 1.5703 |
| 1.3135 | 13.0 | 3666 | 1.5729 |
| 1.2954 | 14.0 | 3948 | 1.5745 |
| 1.2543 | 15.0 | 4230 | 1.5758 |
| 1.4603 | 16.0 | 4512 | 1.5763 |
| 1.2734 | 17.0 | 4794 | 1.5765 |
| 1.3247 | 18.0 | 5076 | 1.5764 |
| 1.2645 | 19.0 | 5358 | 1.5769 |
| 1.376 | 20.0 | 5640 | 1.5766 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for nerottt/lc_full_balanced
Base model
mistralai/Mistral-7B-v0.1