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T5_base_filipino_news_summarization
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5688
- Rouge1: 0.1647
- Rouge2: 0.0732
- Rougel: 0.1456
- Rougelsum: 0.1457
- Gen Len: 19.0
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: 4
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 79 | 2.7017 | 0.1687 | 0.0738 | 0.1484 | 0.1485 | 19.0 |
No log | 2.0 | 158 | 2.6167 | 0.1685 | 0.076 | 0.1486 | 0.1485 | 19.0 |
No log | 3.0 | 237 | 2.5787 | 0.167 | 0.0755 | 0.1478 | 0.1478 | 19.0 |
No log | 4.0 | 316 | 2.5688 | 0.1647 | 0.0732 | 0.1456 | 0.1457 | 19.0 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3