multi-gpu-14b
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-14B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1943
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.23 | 0.7529 | 200 | 0.2271 |
| 0.1856 | 1.5045 | 400 | 0.2025 |
| 0.1521 | 2.2560 | 600 | 0.1943 |
Framework versions
- PEFT 0.14.0
- Transformers 4.56.1
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.22.0
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Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B