10000r_1_Base_3eps
This model is a fine-tuned version of /workspace/Qwen/Qwen2.5-32B on the rephrasing_10000 dataset.
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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 16
- total_train_batch_size: 1536
- total_eval_batch_size: 48
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0.dev20250319+cu128
- Datasets 4.0.0
- Tokenizers 0.22.1
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Model tree for Linksome/QwQ-32B-10000r_1_Base_3eps
Base model
Qwen/Qwen2.5-32B