| | --- |
| | library_name: transformers |
| | license: other |
| | base_model: |
| | - Time-HD-Anonymous/STReasoner-8B-Align |
| | tags: |
| | - llama-factory |
| | - full |
| | - generated_from_trainer |
| | model-index: |
| | - name: Qwen3-8B-stage1+2 |
| | results: [] |
| | datasets: |
| | - Time-HD-Anonymous/ST-Bench |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Qwen3-8B-stage1+2 |
| |
|
| | This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the entity_cot, the etiological_cot, the correlation_cot and the forecasting_cot datasets. |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - gradient_accumulation_steps: 32 |
| | - total_train_batch_size: 512 |
| | - total_eval_batch_size: 64 |
| | - 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: 0.02 |
| | - training_steps: 400 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.52.4 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.4 |
