sp_qwen_model
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the sp_finetune_train dataset. It achieves the following results on the evaluation set:
- Loss: 1.9797
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3343 | 1.2658 | 100 | 1.6669 |
| 0.5561 | 2.5316 | 200 | 1.7187 |
| 0.2622 | 3.7975 | 300 | 1.9789 |
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1
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