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bartpho-word-base
This model is a fine-tuned version of vinai/bartpho-word-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1067
- Rouge1: 49.261
- Rouge2: 22.7386
- Rougel: 33.4517
- Rougelsum: 35.6277
- Gen Len: 19.8061
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.7155 | 1.0 | 309 | 2.1805 | 48.1588 | 21.5414 | 32.4169 | 34.6188 | 19.7453 |
| 2.2951 | 2.0 | 619 | 2.1331 | 48.5623 | 21.8348 | 32.7922 | 34.9789 | 19.7525 |
| 2.1676 | 3.0 | 929 | 2.1193 | 49.2433 | 22.8931 | 33.4674 | 35.738 | 19.7881 |
| 2.057 | 4.0 | 1239 | 2.1210 | 49.2825 | 22.7084 | 33.4667 | 35.5888 | 19.7759 |
| 2.0153 | 4.99 | 1545 | 2.1067 | 49.261 | 22.7386 | 33.4517 | 35.6277 | 19.8061 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.12.0+cu102
- Datasets 2.12.0
- Tokenizers 0.13.3
