a70d0e3e-e006-4729-a8b6-8c2fcdc885a0
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: 1.4256
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: 0.000203
- 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 | 0.0025 | 1 | 1.7940 |
| 1.6343 | 0.1230 | 50 | 1.5928 |
| 1.622 | 0.2460 | 100 | 1.5606 |
| 1.6077 | 0.3690 | 150 | 1.5299 |
| 1.5909 | 0.4920 | 200 | 1.5081 |
| 1.5842 | 0.6150 | 250 | 1.4716 |
| 1.5487 | 0.7380 | 300 | 1.4472 |
| 1.5147 | 0.8610 | 350 | 1.4311 |
| 1.5145 | 0.9840 | 400 | 1.4256 |
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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