27f4495a-411c-4f93-b9b0-299712657f4b
This model is a fine-tuned version of unsloth/Qwen2.5-Coder-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2413
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 | 0.0000 | 1 | 5.5814 |
| 3.5893 | 0.0008 | 50 | 3.9719 |
| 3.2885 | 0.0016 | 100 | 3.7386 |
| 3.2114 | 0.0025 | 150 | 3.6491 |
| 3.0378 | 0.0033 | 200 | 3.5521 |
| 3.2223 | 0.0041 | 250 | 3.4622 |
| 3.3304 | 0.0049 | 300 | 3.3226 |
| 3.2536 | 0.0057 | 350 | 3.2733 |
| 3.2337 | 0.0065 | 400 | 3.2478 |
| 3.25 | 0.0074 | 450 | 3.2420 |
| 3.1903 | 0.0082 | 500 | 3.2413 |
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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