5ecc71a8-d301-438e-b591-988a613c4f15
This model is a fine-tuned version of Qwen/Qwen2.5-3B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0072
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: 42
- 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 | 1.2122 |
| 1.5374 | 0.0042 | 50 | 1.0957 |
| 1.6613 | 0.0085 | 100 | 1.0716 |
| 1.5282 | 0.0127 | 150 | 1.0652 |
| 1.6984 | 0.0170 | 200 | 1.0494 |
| 1.7164 | 0.0212 | 250 | 1.0364 |
| 1.3901 | 0.0255 | 300 | 1.0229 |
| 1.6049 | 0.0297 | 350 | 1.0182 |
| 1.5117 | 0.0340 | 400 | 1.0120 |
| 1.4325 | 0.0382 | 450 | 1.0085 |
| 1.6073 | 0.0425 | 500 | 1.0072 |
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 lesso01/5ecc71a8-d301-438e-b591-988a613c4f15
Base model
Qwen/Qwen2.5-3B