c260e6c1-1557-4db9-a429-c8fc211838ca
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: 5.4003
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: 0.000204
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0024 | 1 | 5.4215 |
| 4.7238 | 0.1197 | 50 | 4.6440 |
| 4.4158 | 0.2394 | 100 | 6.4881 |
| 4.7159 | 0.3591 | 150 | 4.5210 |
| 4.27 | 0.4788 | 200 | 5.9893 |
| 4.5483 | 0.5984 | 250 | 4.6019 |
| 4.186 | 0.7181 | 300 | 5.4003 |
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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