metadata
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
model-index:
- name: bartpho-word-base-ed-multi
results: []
bartpho-word-base-ed-multi
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: 0.0119
- F1 Micro: 0.7432
- Recall Micro: 0.6664
- Precision Micro: 0.8399
- F1 Macro: 0.1835
- Recall Macro: 0.1759
- Precision Macro: 0.1941
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
---|---|---|---|---|---|---|---|---|---|
No log | 1.0 | 373 | 0.0155 | 0.7319 | 0.6617 | 0.8189 | 0.1701 | 0.1761 | 0.1689 |
0.0444 | 2.0 | 746 | 0.0124 | 0.7406 | 0.6612 | 0.8416 | 0.1673 | 0.1548 | 0.1917 |
0.0132 | 3.0 | 1119 | 0.0124 | 0.7327 | 0.6526 | 0.8353 | 0.1799 | 0.1788 | 0.1882 |
0.0132 | 4.0 | 1492 | 0.0121 | 0.7488 | 0.6870 | 0.8229 | 0.1763 | 0.1573 | 0.2042 |
0.0103 | 5.0 | 1865 | 0.0119 | 0.7432 | 0.6664 | 0.8399 | 0.1835 | 0.1759 | 0.1941 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1