metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: comment_classification
results: []
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: 0.4330
- Accuracy: 0.9236
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 |
|---|---|---|---|---|
| 0.2653 | 1.0 | 18435 | 0.2584 | 0.9164 |
| 0.2189 | 2.0 | 36870 | 0.2269 | 0.9224 |
| 0.2005 | 3.0 | 55305 | 0.3377 | 0.9237 |
| 0.1359 | 4.0 | 73740 | 0.3729 | 0.9231 |
| 0.1131 | 5.0 | 92175 | 0.4330 | 0.9236 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2