lc_v3
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: 1.2901
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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3446 | 1.0 | 90 | 1.3456 |
| 1.2406 | 2.0 | 180 | 1.3101 |
| 1.2645 | 3.0 | 270 | 1.2944 |
| 1.3111 | 4.0 | 360 | 1.2891 |
| 1.2212 | 5.0 | 450 | 1.2879 |
| 1.2865 | 6.0 | 540 | 1.2887 |
| 1.1752 | 7.0 | 630 | 1.2897 |
| 1.163 | 8.0 | 720 | 1.2901 |
| 1.2103 | 9.0 | 810 | 1.2901 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for nerottt/lc_v3
Base model
mistralai/Mistral-7B-v0.1