bartpho-word-base-finetuned-ee
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: 0.0116
- Rouge1: 88.7018
- Rouge2: 79.3922
- Rougel: 88.6978
- Rougelsum: 88.7065
- Gen Len: 9.733
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0184 | 1.0 | 1492 | 0.0143 | 87.5521 | 76.9727 | 87.5302 | 87.5409 | 9.779 |
| 0.0124 | 2.0 | 2984 | 0.0125 | 87.4254 | 76.7809 | 87.4381 | 87.4401 | 9.9261 |
| 0.0093 | 3.0 | 4476 | 0.0116 | 88.7018 | 79.3922 | 88.6978 | 88.7065 | 9.733 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
vinai/bartpho-word-base