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| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # run1_short_20000 | |
| This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the rubra_train_v1_mistral_short dataset. | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 2e-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 12 | |
| - total_train_batch_size: 24 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 1.0 | |
| ### Framework versions | |
| - Transformers 4.41.2 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.19.2 | |
| - Tokenizers 0.19.1 | |