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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/Mixtral-8x7B-v0.1 |
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datasets: |
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- generator |
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model-index: |
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- name: Mixtral_Alpace_v2_NIKI |
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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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# Mixtral_Alpace_v2_NIKI |
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This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1688 |
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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: 2.5e-05 |
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- train_batch_size: 8 |
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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: linear |
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- lr_scheduler_warmup_steps: 0.03 |
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- training_steps: 300 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.3725 | 0.0606 | 10 | 1.3384 | |
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| 1.339 | 0.1212 | 20 | 1.3260 | |
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| 1.3448 | 0.1818 | 30 | 1.3121 | |
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| 1.2777 | 0.2424 | 40 | 1.2984 | |
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| 1.3067 | 0.3030 | 50 | 1.2853 | |
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| 1.2674 | 0.3636 | 60 | 1.2723 | |
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| 1.2842 | 0.4242 | 70 | 1.2610 | |
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| 1.2835 | 0.4848 | 80 | 1.2505 | |
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| 1.2688 | 0.5455 | 90 | 1.2406 | |
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| 1.2892 | 0.6061 | 100 | 1.2315 | |
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| 1.2565 | 0.6667 | 110 | 1.2236 | |
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| 1.2145 | 0.7273 | 120 | 1.2163 | |
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| 1.2297 | 0.7879 | 130 | 1.2101 | |
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| 1.2406 | 0.8485 | 140 | 1.2042 | |
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| 1.2146 | 0.9091 | 150 | 1.1986 | |
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| 1.2386 | 0.9697 | 160 | 1.1940 | |
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| 1.1929 | 1.0303 | 170 | 1.1899 | |
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| 1.2036 | 1.0909 | 180 | 1.1869 | |
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| 1.181 | 1.1515 | 190 | 1.1837 | |
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| 1.201 | 1.2121 | 200 | 1.1812 | |
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| 1.1965 | 1.2727 | 210 | 1.1786 | |
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| 1.2084 | 1.3333 | 220 | 1.1765 | |
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| 1.2097 | 1.3939 | 230 | 1.1746 | |
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| 1.176 | 1.4545 | 240 | 1.1727 | |
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| 1.1757 | 1.5152 | 250 | 1.1715 | |
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| 1.1977 | 1.5758 | 260 | 1.1705 | |
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| 1.1686 | 1.6364 | 270 | 1.1701 | |
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| 1.1679 | 1.6970 | 280 | 1.1694 | |
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| 1.1779 | 1.7576 | 290 | 1.1690 | |
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| 1.179 | 1.8182 | 300 | 1.1688 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
