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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/Mixtral-8x7B-Instruct-v0.1 |
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model-index: |
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- name: Mixtral_R2_v0 |
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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_R2_v0 |
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This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7382 |
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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: 32 |
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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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- num_epochs: 25 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.2053 | 1.0 | 18 | 1.6050 | |
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| 1.685 | 2.0 | 36 | 1.4131 | |
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| 1.4913 | 3.0 | 54 | 1.2708 | |
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| 1.3079 | 4.0 | 72 | 1.1353 | |
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| 1.1686 | 5.0 | 90 | 1.0360 | |
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| 1.1356 | 6.0 | 108 | 0.9803 | |
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| 1.053 | 7.0 | 126 | 0.9382 | |
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| 0.9968 | 8.0 | 144 | 0.8994 | |
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| 0.947 | 9.0 | 162 | 0.8616 | |
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| 0.8981 | 10.0 | 180 | 0.8244 | |
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| 0.8726 | 11.0 | 198 | 0.7891 | |
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| 0.8211 | 12.0 | 216 | 0.7727 | |
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| 0.8126 | 13.0 | 234 | 0.7645 | |
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| 0.7889 | 14.0 | 252 | 0.7591 | |
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| 0.7837 | 15.0 | 270 | 0.7547 | |
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| 0.7792 | 16.0 | 288 | 0.7510 | |
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| 0.7507 | 17.0 | 306 | 0.7481 | |
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| 0.7483 | 18.0 | 324 | 0.7458 | |
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| 0.7429 | 19.0 | 342 | 0.7432 | |
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| 0.7362 | 20.0 | 360 | 0.7417 | |
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| 0.7495 | 21.0 | 378 | 0.7406 | |
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| 0.748 | 22.0 | 396 | 0.7397 | |
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| 0.7429 | 23.0 | 414 | 0.7388 | |
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| 0.7444 | 24.0 | 432 | 0.7384 | |
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| 0.7334 | 25.0 | 450 | 0.7382 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
