QWEN_less_data_SUDT
This model is a fine-tuned version of Qwen/Qwen2-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8036
- Accuracy: 0.75
- Precision: 0.7517
- Recall: 0.7467
- F1 score: 0.7492
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 score |
---|---|---|---|---|---|---|---|
0.9827 | 1.0 | 200 | 0.9324 | 0.6567 | 0.6374 | 0.7267 | 0.6791 |
0.6131 | 2.0 | 400 | 0.9107 | 0.7 | 0.7586 | 0.5867 | 0.6617 |
0.4309 | 3.0 | 600 | 0.7894 | 0.7133 | 0.7222 | 0.6933 | 0.7075 |
0.2912 | 4.0 | 800 | 0.8766 | 0.7233 | 0.7965 | 0.6 | 0.6844 |
0.1993 | 5.0 | 1000 | 0.8036 | 0.75 | 0.7517 | 0.7467 | 0.7492 |
Framework versions
- PEFT 0.11.1
- Transformers 4.44.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for rishavranaut/QWEN_less_data_SUDT
Base model
Qwen/Qwen2-7B