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PhoBERT-Final_Mixed-aug_insert_tfidf-2
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3038
- Accuracy: 0.7
- F1: 0.7020
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: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.9304 | 1.0 | 88 | 0.7947 | 0.69 | 0.6829 |
0.5906 | 2.0 | 176 | 0.7605 | 0.7 | 0.6974 |
0.4155 | 3.0 | 264 | 0.7463 | 0.7 | 0.6984 |
0.2607 | 4.0 | 352 | 0.8617 | 0.71 | 0.7111 |
0.1595 | 5.0 | 440 | 1.0177 | 0.73 | 0.7307 |
0.1181 | 6.0 | 528 | 1.1650 | 0.69 | 0.6884 |
0.0651 | 7.0 | 616 | 1.2788 | 0.7 | 0.7020 |
0.05 | 8.0 | 704 | 1.3038 | 0.7 | 0.7020 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3