train_2025-02-07-00-42-22_qwen
This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the train_hal_detection_1125 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 2
- total_eval_batch_size: 16
- 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_steps: 10
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.48.2
- Pytorch 2.3.0a0+ebedce2
- Datasets 3.2.0
- Tokenizers 0.21.0
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