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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: 0.7671 |
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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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| 3.0101 | 1.0 | 18 | 2.1741 | |
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| 2.1612 | 2.0 | 36 | 1.5962 | |
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| 1.6591 | 3.0 | 54 | 1.4202 | |
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| 1.4985 | 4.0 | 72 | 1.3035 | |
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| 1.3585 | 5.0 | 90 | 1.1977 | |
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| 1.294 | 6.0 | 108 | 1.0993 | |
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| 1.1823 | 7.0 | 126 | 1.0139 | |
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| 1.0983 | 8.0 | 144 | 0.9641 | |
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| 1.0371 | 9.0 | 162 | 0.9293 | |
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| 0.9868 | 10.0 | 180 | 0.8961 | |
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| 0.9535 | 11.0 | 198 | 0.8655 | |
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| 0.9259 | 12.0 | 216 | 0.8358 | |
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| 0.882 | 13.0 | 234 | 0.8067 | |
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| 0.8472 | 14.0 | 252 | 0.7938 | |
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| 0.8484 | 15.0 | 270 | 0.7872 | |
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| 0.8215 | 16.0 | 288 | 0.7826 | |
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| 0.8167 | 17.0 | 306 | 0.7779 | |
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| 0.8199 | 18.0 | 324 | 0.7751 | |
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| 0.8042 | 19.0 | 342 | 0.7730 | |
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| 0.8186 | 20.0 | 360 | 0.7710 | |
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| 0.794 | 21.0 | 378 | 0.7698 | |
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| 0.7958 | 22.0 | 396 | 0.7685 | |
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| 0.7858 | 23.0 | 414 | 0.7677 | |
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| 0.7857 | 24.0 | 432 | 0.7671 | |
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| 0.7843 | 25.0 | 450 | 0.7671 | |
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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 |
