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--- |
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library_name: transformers |
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license: other |
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: distilabel-reasoning-R1-Llama-70B-ja-train |
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results: [] |
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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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# distilabel-reasoning-R1-Llama-70B-ja-train |
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This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) on the distilabel-reasoning-R1-Llama-70B-ja-train dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4519 |
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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: 1e-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: 8 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 8 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.766 | 0.1087 | 5 | 0.5912 | |
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| 0.5873 | 0.2174 | 10 | 0.5282 | |
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| 0.3868 | 0.3261 | 15 | 0.4958 | |
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| 0.5101 | 0.4348 | 20 | 0.4761 | |
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| 0.4085 | 0.5435 | 25 | 0.4644 | |
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| 0.5561 | 0.6522 | 30 | 0.4578 | |
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| 0.4683 | 0.7609 | 35 | 0.4542 | |
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| 0.5055 | 0.8696 | 40 | 0.4526 | |
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| 0.5359 | 0.9783 | 45 | 0.4519 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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