2636a760-cf1e-4522-ab1b-e7d15b562de8
This model is a fine-tuned version of unsloth/Qwen2.5-1.5B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6889
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: 0.000207
- train_batch_size: 4
- eval_batch_size: 4
- seed: 70
- 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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0001 | 1 | 2.0997 |
| 1.9472 | 0.0484 | 500 | 1.9658 |
| 1.912 | 0.0967 | 1000 | 1.9019 |
| 1.8617 | 0.1451 | 1500 | 1.8394 |
| 1.7849 | 0.1934 | 2000 | 1.7844 |
| 1.7527 | 0.2418 | 2500 | 1.7379 |
| 1.6684 | 0.2902 | 3000 | 1.7084 |
| 1.6926 | 0.3385 | 3500 | 1.6921 |
| 1.7059 | 0.3869 | 4000 | 1.6889 |
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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