results
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on a text dataset. It achieves the following results on the evaluation set:
- Loss: 0.0422
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1222 | 0.2603 | 500 | 0.1168 |
| 0.0751 | 0.5206 | 1000 | 0.0764 |
| 0.0692 | 0.7808 | 1500 | 0.0636 |
| 0.043 | 1.0411 | 2000 | 0.0551 |
| 0.0439 | 1.3014 | 2500 | 0.0497 |
| 0.0411 | 1.5617 | 3000 | 0.0465 |
| 0.0373 | 1.8220 | 3500 | 0.0422 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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