library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | Qwen/Qwen3-4B |
|
|
medical-o1-sft-full-1e-5
This model is a fine-tuned version of Qwen/Qwen3-4B on the medical_o1_train dataset. It achieves the following results on the evaluation set:
- Loss: 1.3088
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3952 | 0.3009 | 44 | 1.3628 |
| 1.3153 | 0.6017 | 88 | 1.3319 |
| 1.3174 | 0.9026 | 132 | 1.3175 |
| 1.1758 | 1.1983 | 176 | 1.3184 |
| 1.2047 | 1.4991 | 220 | 1.3131 |
| 1.1961 | 1.8 | 264 | 1.3088 |
| 1.1401 | 2.0957 | 308 | 1.3254 |
| 1.1144 | 2.3966 | 352 | 1.3240 |
| 1.1196 | 2.6974 | 396 | 1.3236 |
| 1.0940 | 2.9983 | 440 | 1.3234 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2