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--- |
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base_model: AI-MO/NuminaMath-72B-CoT |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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- math |
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- aimo |
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datasets: |
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- AI-MO/NuminaMath-TIR |
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model-index: |
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- name: qwen2-72b-sft-aimo_v03.00 |
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results: [] |
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license: other |
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license_name: tongyi-qianwen |
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language: |
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- en |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/huggingface/h4/runs/bxdbewkc) |
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# qwen2-72b-sft-aimo_v03.00 |
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This model is a fine-tuned version of [AI-MO/qwen2-72b-sft](https://huggingface.co/AI-MO/qwen2-72b-sft) on the AI-MO/numina-dataset-tora-v1.0-release-candidate-1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4792 |
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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: 2e-05 |
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- train_batch_size: 1 |
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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: 32 |
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- total_train_batch_size: 32 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3939 | 1.0 | 797 | 0.3793 | |
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| 0.2618 | 2.0 | 1594 | 0.3876 | |
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| 0.1141 | 3.0 | 2391 | 0.4310 | |
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| 0.0363 | 4.0 | 3188 | 0.4792 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
