| base_model: AI-MO/deepseek-math-7b-sft | |
| tags: | |
| - alignment-handbook | |
| - generated_from_trainer | |
| datasets: | |
| - AI-MO/tora-chosen-v0.7 | |
| model-index: | |
| - name: aimo_v51.2 | |
| results: [] | |
| <!-- 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. --> | |
| # aimo_v51.2 | |
| This model is a fine-tuned version of [AI-MO/deepseek-math-7b-sft](https://huggingface.co/AI-MO/deepseek-math-7b-sft) on the AI-MO/tora-chosen-v0.7 dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5302 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 2e-05 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 8 | |
| - total_train_batch_size: 32 | |
| - total_eval_batch_size: 64 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 4.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 0.4295 | 1.0 | 1733 | 0.4313 | | |
| | 0.3638 | 2.0 | 3466 | 0.4332 | | |
| | 0.2951 | 3.0 | 5199 | 0.4704 | | |
| | 0.2225 | 4.0 | 6932 | 0.5302 | | |
| ### Framework versions | |
| - Transformers 4.40.1 | |
| - Pytorch 2.3.1 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.19.1 | |