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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: out |
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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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# out |
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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: 4.3731 |
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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: 0.0002 |
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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: constant |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.8286 | 1.0 | 326 | 2.7831 | |
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| 1.7135 | 2.0 | 652 | 2.9345 | |
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| 0.5324 | 3.0 | 978 | 3.2704 | |
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| 0.6332 | 4.0 | 1304 | 3.5215 | |
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| 0.4136 | 5.0 | 1630 | 3.6194 | |
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| 0.6789 | 6.0 | 1956 | 4.0601 | |
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| 0.3095 | 7.0 | 2282 | 3.9619 | |
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| 0.2139 | 8.0 | 2608 | 4.2931 | |
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| 0.2027 | 9.0 | 2934 | 4.3885 | |
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| 0.1184 | 10.0 | 3260 | 4.2185 | |
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| 0.1612 | 11.0 | 3586 | 4.2801 | |
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| 0.2609 | 12.0 | 3912 | 4.4705 | |
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| 0.1564 | 13.0 | 4238 | 4.7184 | |
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| 0.2344 | 14.0 | 4564 | 4.3517 | |
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| 0.4565 | 15.0 | 4890 | 4.7181 | |
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| 0.1623 | 16.0 | 5216 | 4.7855 | |
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| 0.2934 | 17.0 | 5542 | 5.5058 | |
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| 0.1151 | 18.0 | 5868 | 4.6761 | |
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| 0.178 | 19.0 | 6194 | 5.0001 | |
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| 0.1595 | 20.0 | 6520 | 4.3731 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.1 |
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- Pytorch 2.0.1 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
