a86401ef-9d64-43a7-ad41-8d083c819f99
This model is a fine-tuned version of unsloth/Qwen2.5-Math-1.5B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1888
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: 0.000215
- train_batch_size: 4
- eval_batch_size: 4
- seed: 150
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0009 | 1 | 1.3568 |
| 0.262 | 0.4425 | 500 | 0.2684 |
| 0.2278 | 0.8851 | 1000 | 0.2190 |
| 0.1524 | 1.3280 | 1500 | 0.1942 |
| 0.1498 | 1.7705 | 2000 | 0.1888 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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