Qwen3-8B_17646861
This model is a fine-tuned version of Qwen/Qwen3-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6066
- Accuracy: 0.6801
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6503 | 0.1003 | 244 | 0.6892 | 0.5896 |
| 0.6364 | 0.2006 | 488 | 0.6464 | 0.6412 |
| 0.6312 | 0.3009 | 732 | 0.6322 | 0.6508 |
| 0.6092 | 0.4012 | 976 | 0.6172 | 0.6696 |
| 0.6399 | 0.5014 | 1220 | 0.6155 | 0.6673 |
| 0.5885 | 0.6017 | 1464 | 0.6120 | 0.6746 |
| 0.6144 | 0.7020 | 1708 | 0.6100 | 0.6777 |
| 0.6014 | 0.8023 | 1952 | 0.6070 | 0.6782 |
| 0.5877 | 0.9026 | 2196 | 0.6066 | 0.6801 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1
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from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "licezhang/Qwen3-8B_17646861")