metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhoBERT-Final_Mixed-aug_replace_tfidf-1
results: []
PhoBERT-Final_Mixed-aug_replace_tfidf-1
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: 0.8919
- Accuracy: 0.74
- F1: 0.7436
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: 41
- 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 |
|---|---|---|---|---|---|
| 0.9586 | 1.0 | 87 | 0.7412 | 0.65 | 0.6130 |
| 0.7172 | 2.0 | 174 | 0.6653 | 0.7 | 0.6840 |
| 0.5667 | 3.0 | 261 | 0.6567 | 0.72 | 0.7191 |
| 0.4208 | 4.0 | 348 | 0.7138 | 0.77 | 0.7686 |
| 0.3339 | 5.0 | 435 | 0.6975 | 0.75 | 0.7509 |
| 0.2589 | 6.0 | 522 | 0.8100 | 0.72 | 0.7307 |
| 0.1958 | 7.0 | 609 | 0.8663 | 0.76 | 0.7658 |
| 0.189 | 8.0 | 696 | 0.8919 | 0.74 | 0.7436 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3