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README.md
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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
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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
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4624
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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: 2.55e-05
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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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| 0.6354 | 0.21 | 1000 | 0.4892 |
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| 0.5874 | 0.42 | 2000 | 0.4789 |
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| 0.3006 | 0.63 | 3000 | 0.4694 |
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| 0.2786 | 0.84 | 4000 | 0.4624 |
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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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