metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-vietnamese-summarization
results: []
t5-vietnamese-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: 6.7088
- Rouge1: 0.3594
- Rouge2: 0.1038
- Rougel: 0.2326
- Rougelsum: 0.2333
- Gen Len: 17.614
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 282 | 6.8323 | 0.23 | 0.0659 | 0.1532 | 0.1533 | 17.146 |
| 7.1083 | 2.0 | 564 | 6.7612 | 0.3211 | 0.0944 | 0.2101 | 0.2103 | 16.972 |
| 7.1083 | 3.0 | 846 | 6.7147 | 0.3473 | 0.1015 | 0.2266 | 0.2272 | 17.276 |
| 6.9522 | 4.0 | 1128 | 6.7088 | 0.3594 | 0.1038 | 0.2326 | 0.2333 | 17.614 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3