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--- |
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base_model: Mistral-7B-v0.1 |
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tags: |
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- math |
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model-index: |
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- name: Mistral-7B-v0.1-lce |
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results: [] |
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license: apache-2.0 |
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language: |
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- en |
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metrics: |
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- accuracy |
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pipeline_tag: text-generation |
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--- |
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# Mistral-7B-Ours-SFT |
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This model is a fine-tuned version of Mistral-7B-v0.1. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2716 |
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## Model description |
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This is a model fine-tuned for mathematical problem-solving. |
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## Intended uses & limitations |
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The model is intended for solving math problems. |
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## Training and evaluation data |
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![eval](eval.png) |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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