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t5-small-textsum-indosum-1
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3746
- Rouge1: 21.2613
- Rouge2: 16.8411
- Rougel: 20.9665
- Rougelsum: 21.095
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.4526 | 1.0 | 4460 | 0.4041 | 21.1972 | 16.7663 | 20.9039 | 21.0284 | 19.0 |
| 0.4224 | 2.0 | 8920 | 0.3792 | 21.2451 | 16.8261 | 20.9492 | 21.0794 | 19.0 |
| 0.4169 | 3.0 | 13380 | 0.3746 | 21.2613 | 16.8411 | 20.9665 | 21.095 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
