5d8876fb-d3cd-432e-9cb4-abf6181ad002
This model is a fine-tuned version of Qwen/Qwen2.5-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1120
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: 0.000206
- train_batch_size: 4
- eval_batch_size: 4
- seed: 60
- 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 | 2.3980 |
| 2.0079 | 0.0008 | 50 | 1.9941 |
| 1.9167 | 0.0016 | 100 | 2.0309 |
| 1.8436 | 0.0024 | 150 | 2.0673 |
| 2.0407 | 0.0032 | 200 | 2.1120 |
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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Model tree for lesso06/5d8876fb-d3cd-432e-9cb4-abf6181ad002
Base model
Qwen/Qwen2.5-7B