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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_v5_all |
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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_v5_all |
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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: 1.5440 |
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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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| 1.6819 | 1.0 | 666 | 1.5600 | |
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| 1.803 | 2.0 | 1332 | 1.5472 | |
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| 1.4855 | 3.0 | 1998 | 1.5450 | |
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| 1.4634 | 4.0 | 2664 | 1.5417 | |
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| 1.3477 | 5.0 | 3330 | 1.5433 | |
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| 1.3952 | 6.0 | 3996 | 1.5427 | |
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| 1.3547 | 7.0 | 4662 | 1.5435 | |
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| 1.7377 | 8.0 | 5328 | 1.5438 | |
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| 1.3231 | 9.0 | 5994 | 1.5441 | |
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| 1.44 | 10.0 | 6660 | 1.5440 | |
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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 |
