comment_classification
This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4387
- Accuracy: 0.9228
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: 8
- 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 |
---|---|---|---|---|
0.2831 | 1.0 | 18435 | 0.2946 | 0.9082 |
0.2315 | 2.0 | 36870 | 0.3132 | 0.9182 |
0.1888 | 3.0 | 55305 | 0.3513 | 0.9235 |
0.1483 | 4.0 | 73740 | 0.3971 | 0.9209 |
0.0997 | 5.0 | 92175 | 0.4387 | 0.9228 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
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