--- library_name: transformers license: other base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B tags: - llama-factory - full - generated_from_trainer model-index: - name: DeepSeek-R1-Distill-Qwen-1.5B-Turkish results: [] --- # DeepSeek-R1-Distill-Qwen-1.5B-Turkish This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) on the reasoning-turkish-R1 dataset. It achieves the following results on the evaluation set: - Loss: 1.1396 ## 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: 1e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - total_train_batch_size: 8 - total_eval_batch_size: 8 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.01 - num_epochs: 1.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 1.6161 | 0.1028 | 26 | 1.4920 | | 1.3683 | 0.2055 | 52 | 1.3256 | | 1.409 | 0.3083 | 78 | 1.2486 | | 1.1914 | 0.4111 | 104 | 1.2049 | | 1.1264 | 0.5138 | 130 | 1.1763 | | 1.1721 | 0.6166 | 156 | 1.1584 | | 1.2738 | 0.7194 | 182 | 1.1467 | | 1.1729 | 0.8221 | 208 | 1.1415 | | 1.4446 | 0.9249 | 234 | 1.1399 | ### Framework versions - Transformers 4.48.2 - Pytorch 2.6.0+cu124 - Datasets 3.2.0 - Tokenizers 0.21.0