<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
vietnamese_feedback_model_1_1.0
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7416
- Precision: 0.8254
- Recall: 0.8606
- F1: 0.8426
- Accuracy: 0.8578
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: 5e-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 | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.523 | 1.0 | 1000 | 0.5322 | 0.7770 | 0.8375 | 0.8061 | 0.8345 |
0.4108 | 2.0 | 2000 | 0.5659 | 0.7924 | 0.8527 | 0.8214 | 0.8568 |
0.332 | 3.0 | 3000 | 0.5533 | 0.8234 | 0.8594 | 0.8410 | 0.8528 |
0.2447 | 4.0 | 4000 | 0.6742 | 0.8132 | 0.8585 | 0.8352 | 0.8550 |
0.1849 | 5.0 | 5000 | 0.7416 | 0.8254 | 0.8606 | 0.8426 | 0.8578 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2