metadata
base_model: vinai/bartpho-syllable-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bartpho-syllable-base-ceg-pair-lexnorm-wiki20k
results: []
bartpho-syllable-base-ceg-pair-lexnorm-wiki20k
This model is a fine-tuned version of vinai/bartpho-syllable-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0441
- Rouge1: 83.8906
- Rouge2: 76.8215
- Rougel: 83.4733
- Rougelsum: 83.4783
- Gen Len: 14.9751
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.1329 | 1.0 | 625 | 0.0572 | 80.5125 | 71.817 | 80.0125 | 79.9934 | 14.9828 |
| 0.0424 | 2.0 | 1250 | 0.0447 | 81.8041 | 73.7589 | 81.3035 | 81.2949 | 14.8986 |
| 0.0253 | 3.0 | 1875 | 0.0449 | 82.4467 | 74.7259 | 81.9169 | 81.906 | 15.0067 |
| 0.0167 | 4.0 | 2500 | 0.0427 | 83.3339 | 76.0786 | 82.8455 | 82.8229 | 15.0010 |
| 0.0116 | 5.0 | 3125 | 0.0444 | 83.4771 | 76.234 | 83.0177 | 83.008 | 15.0144 |
| 0.0082 | 6.0 | 3750 | 0.0438 | 83.6459 | 76.467 | 83.2461 | 83.2372 | 14.9933 |
| 0.0061 | 7.0 | 4375 | 0.0440 | 83.699 | 76.5119 | 83.3283 | 83.3175 | 14.9684 |
| 0.0047 | 8.0 | 5000 | 0.0447 | 83.7618 | 76.6774 | 83.346 | 83.3564 | 14.9349 |
| 0.0038 | 9.0 | 5625 | 0.0436 | 83.9239 | 76.845 | 83.4885 | 83.5062 | 14.9732 |
| 0.0032 | 10.0 | 6250 | 0.0441 | 83.8906 | 76.8215 | 83.4733 | 83.4783 | 14.9751 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0