ViT5-base-normalized
This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0194
- Rouge1: 89.1883
- Rouge2: 85.545
- Rougel: 89.0077
- Rougelsum: 89.0313
- Gen Len: 15.0895
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: 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0911 | 1.0 | 524 | 0.0287 | 86.8798 | 81.8723 | 86.6699 | 86.7029 | 15.1629 |
| 0.0213 | 2.0 | 1048 | 0.0216 | 88.2321 | 84.1301 | 88.0463 | 88.0681 | 15.1238 |
| 0.0147 | 3.0 | 1572 | 0.0202 | 88.8138 | 84.9897 | 88.6248 | 88.6669 | 15.08 |
| 0.0115 | 4.0 | 2096 | 0.0203 | 89.1624 | 85.4043 | 88.9621 | 88.9905 | 15.0676 |
| 0.0094 | 5.0 | 2620 | 0.0194 | 89.1883 | 85.545 | 89.0077 | 89.0313 | 15.0895 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
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Base model
vinai/bartpho-syllable