lc_v7_select
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: 1.3328
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4231 | 1.0 | 297 | 1.3575 |
| 1.2756 | 2.0 | 594 | 1.3408 |
| 1.2876 | 3.0 | 891 | 1.3342 |
| 1.2691 | 4.0 | 1188 | 1.3322 |
| 1.239 | 5.0 | 1485 | 1.3334 |
| 1.2492 | 6.0 | 1782 | 1.3324 |
| 1.3679 | 7.0 | 2079 | 1.3325 |
| 1.3518 | 8.0 | 2376 | 1.3329 |
| 1.2306 | 9.0 | 2673 | 1.3333 |
| 1.2744 | 10.0 | 2970 | 1.3328 |
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_v7_select
Base model
mistralai/Mistral-7B-v0.1