8d7dd87e-87f1-49c9-bae3-e46226d93aa7
This model is a fine-tuned version of unsloth/Qwen2.5-14B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4567
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: 0.000213
- 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: 407
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0012 | 1 | 1.7939 |
| 1.6271 | 0.0615 | 50 | 1.5897 |
| 1.6535 | 0.1231 | 100 | 1.6505 |
| 1.5261 | 0.1846 | 150 | 1.5443 |
| 1.6537 | 0.2462 | 200 | 1.5586 |
| 1.5566 | 0.3077 | 250 | 1.4941 |
| 1.5954 | 0.3692 | 300 | 1.4894 |
| 1.4179 | 0.4308 | 350 | 1.4607 |
| 1.6148 | 0.4923 | 400 | 1.4567 |
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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