70deb016-00f9-4e66-8399-7e559356b61e
This model is a fine-tuned version of unsloth/Qwen2-1.5B on the None 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: 3.0000000000000004e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 24
- total_train_batch_size: 144
- optimizer: Use adamw_torch with betas=(0.85,0.95) and epsilon=5e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 30
Framework versions
- PEFT 0.16.0
- Transformers 4.53.2
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2
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Model tree for taskruy1/70deb016-00f9-4e66-8399-7e559356b61e
Base model
unsloth/Qwen2-1.5B