5303d7bc-be5a-47b9-a7f0-ed150ce42be5
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: 1.4570
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: 407
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0012 | 1 | 1.7939 |
| 1.6259 | 0.0615 | 50 | 1.5877 |
| 1.6497 | 0.1231 | 100 | 1.6523 |
| 1.5245 | 0.1846 | 150 | 1.5425 |
| 1.6581 | 0.2462 | 200 | 1.5571 |
| 1.5555 | 0.3077 | 250 | 1.4944 |
| 1.5948 | 0.3692 | 300 | 1.4883 |
| 1.419 | 0.4308 | 350 | 1.4611 |
| 1.6151 | 0.4923 | 400 | 1.4570 |
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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