metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: thaisum_v2
results: []
thaisum_v2
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6483
- Rouge1: 0.0419
- Rouge2: 0.0194
- Rougel: 0.0415
- Rougelsum: 0.042
- Gen Len: 18.927
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 |
|---|---|---|---|---|---|---|---|---|
| 0.731 | 1.0 | 1250 | 0.6690 | 0.0278 | 0.0149 | 0.0274 | 0.0277 | 18.972 |
| 0.7022 | 2.0 | 2500 | 0.6529 | 0.0314 | 0.0177 | 0.0313 | 0.0313 | 18.924 |
| 0.6933 | 3.0 | 3750 | 0.6509 | 0.0396 | 0.0169 | 0.0393 | 0.0393 | 18.95 |
| 0.6821 | 4.0 | 5000 | 0.6483 | 0.0419 | 0.0194 | 0.0415 | 0.042 | 18.927 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2