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--- |
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base_model: mistralai/Mistral-7B-v0.1 |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: lc_v7_select |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# lc_v7_select |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3328 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4231 | 1.0 | 297 | 1.3575 | |
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| 1.2756 | 2.0 | 594 | 1.3408 | |
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| 1.2876 | 3.0 | 891 | 1.3342 | |
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| 1.2691 | 4.0 | 1188 | 1.3322 | |
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| 1.239 | 5.0 | 1485 | 1.3334 | |
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| 1.2492 | 6.0 | 1782 | 1.3324 | |
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| 1.3679 | 7.0 | 2079 | 1.3325 | |
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| 1.3518 | 8.0 | 2376 | 1.3329 | |
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| 1.2306 | 9.0 | 2673 | 1.3333 | |
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| 1.2744 | 10.0 | 2970 | 1.3328 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
