t5-small-finetuned-liputan6
This model is a fine-tuned version of t5-small on the id_liputan6 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4736
- Rouge1: 16.8519
- Rouge2: 8.2938
- Rougel: 15.684
- Rougelsum: 16.2027
- 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: 0.0001
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.2939 | 1.0 | 24236 | 1.4736 | 16.8519 | 8.2938 | 15.684 | 16.2027 | 19.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2