a1cf0ea1-a9a0-4ca5-bee3-2d288ed0b7e1
This model is a fine-tuned version of unsloth/Qwen2.5-3B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7569
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: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0001 | 1 | 6.8915 |
| 0.331 | 0.0036 | 50 | 0.6455 |
| 0.2993 | 0.0073 | 100 | 0.7814 |
| 0.2097 | 0.0109 | 150 | 0.7072 |
| 0.2528 | 0.0145 | 200 | 0.7569 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Downloads last month
- 7
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.