t5-small-indosum-2
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3772
- Rouge1: 15.3275
- Rouge2: 11.9241
- Rougel: 15.0748
- Rougelsum: 15.1979
- 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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.4206 | 1.0 | 2230 | 0.3852 | 15.3515 | 11.9406 | 15.1018 | 15.2234 | 19.0 |
| 0.4058 | 2.0 | 4460 | 0.3783 | 15.3331 | 11.9321 | 15.0835 | 15.2069 | 19.0 |
| 0.3977 | 3.0 | 6690 | 0.3772 | 15.3275 | 11.9241 | 15.0748 | 15.1979 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3