9b3472df-39db-4521-a8aa-ffd3975381d0
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: 3.1430
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: 0.000201
- train_batch_size: 4
- eval_batch_size: 4
- seed: 10
- 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 | 3.6723 |
| 3.126 | 0.0035 | 50 | 3.1212 |
| 3.098 | 0.0069 | 100 | 3.1286 |
| 3.1152 | 0.0104 | 150 | 3.1381 |
| 3.1266 | 0.0138 | 200 | 3.1430 |
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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