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albert-base-chinese-finetuned-qqp
This model is a fine-tuned version of ckiplab/albert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0982
- Accuracy: 0.9804
- F1: 0.0
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 114 | 0.0982 | 0.9804 | 0.0 |
| No log | 2.0 | 228 | 0.0931 | 0.9804 | 0.0 |
| No log | 3.0 | 342 | 0.0680 | 0.9804 | 0.0 |
| No log | 4.0 | 456 | 0.0526 | 0.9804 | 0.0 |
| 0.1031 | 5.0 | 570 | 0.0578 | 0.9804 | 0.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.0.dev0
