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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-Instruct-v0.2 |
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model-index: |
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- name: ZeroShot-3.3.16-Mistral-7b-Multilanguage-3.2.0 |
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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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# ZeroShot-3.3.16-Mistral-7b-Multilanguage-3.2.0 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0500 |
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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: 8 |
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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: 16 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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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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| 0.1338 | 0.06 | 100 | 0.1081 | |
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| 0.1163 | 0.12 | 200 | 0.1049 | |
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| 0.1064 | 0.19 | 300 | 0.1000 | |
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| 0.0831 | 0.25 | 400 | 0.0893 | |
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| 0.0848 | 0.31 | 500 | 0.0807 | |
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| 0.0765 | 0.37 | 600 | 0.0747 | |
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| 0.0797 | 0.43 | 700 | 0.0738 | |
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| 0.0575 | 0.5 | 800 | 0.0724 | |
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| 0.064 | 0.56 | 900 | 0.0668 | |
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| 0.0518 | 0.62 | 1000 | 0.0656 | |
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| 0.061 | 0.68 | 1100 | 0.0585 | |
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| 0.0505 | 0.74 | 1200 | 0.0556 | |
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| 0.0633 | 0.81 | 1300 | 0.0522 | |
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| 0.0428 | 0.87 | 1400 | 0.0501 | |
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| 0.0393 | 0.93 | 1500 | 0.0500 | |
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| 0.0414 | 0.99 | 1600 | 0.0501 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
