metadata
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
model-index:
- name: bartpho-word-base-ed
results: []
bartpho-word-base-ed
This model is a fine-tuned version of vinai/bartpho-word-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0127
- F1 Micro: 0.7857
- Recall Micro: 0.7730
- Precision Micro: 0.7989
- F1 Macro: 0.4710
- Recall Macro: 0.4327
- Precision Macro: 0.6217
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
|---|---|---|---|---|---|---|---|---|---|
| 0.0184 | 1.0 | 1492 | 0.0127 | 0.7857 | 0.7730 | 0.7989 | 0.4710 | 0.4327 | 0.6217 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1