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--- |
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license: apache-2.0 |
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base_model: meta-math/MetaMath-Mistral-7B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: math-mistral-7b-r32-e2 |
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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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# math-mistral-7b-r32-e2 |
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This model is a fine-tuned version of [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4721 |
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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: 4e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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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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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.2585 | 0.26 | 1000 | 0.4719 | |
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| 0.3487 | 0.52 | 2000 | 0.4713 | |
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| 0.4357 | 0.78 | 3000 | 0.4721 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.14.1 |
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