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--- |
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base_model: mistralai/Mixtral-8x7B-v0.1 |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Mixtral_Alpace_v3 |
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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_v3 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8517 |
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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: 16 |
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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: 3 |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.1536 | 0.03 | 10 | 1.1278 | |
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| 1.0733 | 0.07 | 20 | 1.0587 | |
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| 1.0201 | 0.1 | 30 | 0.9941 | |
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| 0.9622 | 0.13 | 40 | 0.9509 | |
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| 0.9268 | 0.16 | 50 | 0.9188 | |
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| 0.8984 | 0.2 | 60 | 0.8944 | |
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| 0.9067 | 0.23 | 70 | 0.8756 | |
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| 0.8712 | 0.26 | 80 | 0.8622 | |
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| 0.8485 | 0.3 | 90 | 0.8544 | |
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| 0.8703 | 0.33 | 100 | 0.8517 | |
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### Framework versions |
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- PEFT 0.12.1.dev0 |
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- Transformers 4.36.0 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.15.2 |
