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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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datasets: |
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- generator |
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base_model: mistralai/Mistral-7B-v0.1 |
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model-index: |
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- name: mistral7b_instruct_generation |
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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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# mistral7b_instruct_generation |
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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 the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7923 |
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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: 4 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 0.03 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.8767 | 0.0 | 20 | 1.8407 | |
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| 1.8397 | 0.01 | 40 | 1.8076 | |
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| 1.7988 | 0.01 | 60 | 1.7989 | |
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| 1.8566 | 0.01 | 80 | 1.7985 | |
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| 1.8316 | 0.01 | 100 | 1.7973 | |
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| 1.8734 | 0.02 | 120 | 1.7949 | |
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| 1.9446 | 0.02 | 140 | 1.7959 | |
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| 1.8916 | 0.02 | 160 | 1.7950 | |
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| 1.8896 | 0.03 | 180 | 1.7961 | |
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| 1.7687 | 0.03 | 200 | 1.7966 | |
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| 1.825 | 0.03 | 220 | 1.7947 | |
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| 1.8208 | 0.03 | 240 | 1.7946 | |
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| 1.8415 | 0.04 | 260 | 1.8006 | |
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| 1.8307 | 0.04 | 280 | 1.7945 | |
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| 1.7744 | 0.04 | 300 | 1.8032 | |
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| 1.8652 | 0.04 | 320 | 1.7944 | |
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| 1.8168 | 0.05 | 340 | 1.8004 | |
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| 1.9034 | 0.05 | 360 | 1.7910 | |
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| 1.8184 | 0.05 | 380 | 1.7979 | |
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| 1.8892 | 0.06 | 400 | 1.7899 | |
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| 1.9097 | 0.06 | 420 | 1.8028 | |
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| 1.8249 | 0.06 | 440 | 1.8085 | |
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| 1.8871 | 0.06 | 460 | 1.7992 | |
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| 1.8306 | 0.07 | 480 | 1.8013 | |
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| 1.9512 | 0.07 | 500 | 1.7923 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
