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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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- trl |
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- sft |
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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: flash_attention_fine-tuned_mistral |
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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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# flash_attention_fine-tuned_mistral |
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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: 1.1909 |
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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: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 2 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.01 |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.0020 | 10 | 1.2457 | |
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| No log | 0.0041 | 20 | 1.2098 | |
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| 1.3368 | 0.0061 | 30 | 1.2134 | |
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| 1.3368 | 0.0081 | 40 | 1.2185 | |
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| 1.2308 | 0.0102 | 50 | 1.2187 | |
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| 1.2308 | 0.0122 | 60 | 1.2190 | |
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| 1.2308 | 0.0142 | 70 | 1.2074 | |
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| 1.2921 | 0.0163 | 80 | 1.2018 | |
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| 1.2921 | 0.0183 | 90 | 1.1937 | |
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| 1.2655 | 0.0203 | 100 | 1.1909 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.2.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
