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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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model-index: |
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- name: Mixtral_Alpace_v2 |
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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 |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1218 |
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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: 5e-05 |
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- train_batch_size: 2 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.0253 | 0.1389 | 5 | 2.0089 | |
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| 1.94 | 0.2778 | 10 | 1.9158 | |
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| 1.8034 | 0.4167 | 15 | 1.7803 | |
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| 1.6579 | 0.5556 | 20 | 1.6171 | |
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| 1.5197 | 0.6944 | 25 | 1.4960 | |
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| 1.4063 | 0.8333 | 30 | 1.3825 | |
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| 1.3019 | 0.9722 | 35 | 1.2824 | |
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| 1.2145 | 1.1111 | 40 | 1.2010 | |
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| 1.1549 | 1.25 | 45 | 1.1446 | |
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| 1.1269 | 1.3889 | 50 | 1.1218 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
