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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: alpindale/Mistral-7B-v0.2-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: army-pretraining |
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results: [] |
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--- |
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The pretrained base of the Mistrillitary model. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 6 |
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- gradient_accumulation_steps: 6 |
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- total_train_batch_size: 72 |
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- total_eval_batch_size: 6 |
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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_steps: 136 |
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- num_epochs: 11 |
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### Training results |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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