Qwen2.5-0.5B-3675
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9227
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: 0.0001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5649 | 1.0 | 160 | 1.0070 |
| 1.0025 | 2.0 | 320 | 0.9490 |
| 0.9661 | 3.0 | 480 | 0.9330 |
| 0.9521 | 4.0 | 640 | 0.9227 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for FrinzTheCoder/Qwen2.5-0.5B-3675
Base model
Qwen/Qwen2.5-0.5B