metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-BBCNews
results: []
language:
- en
pipeline_tag: summarization
t5-small-finetuned-BBCNews
This model is a fine-tuned version of google-t5/t5-small on the BBC News Articles dataset. It achieves the following results on the evaluation set:
- Loss: 0.7321
- Rouge1: 0.1672
- Rouge2: 0.1387
- Rougel: 0.1605
- Rougelsum: 0.1622
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: 5.6e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.0538 | 1.0 | 344 | 0.7877 | 0.156 | 0.1219 | 0.1472 | 0.1492 |
| 0.7611 | 2.0 | 688 | 0.7479 | 0.1641 | 0.1333 | 0.1565 | 0.1577 |
| 0.7189 | 3.0 | 1032 | 0.7400 | 0.1659 | 0.1365 | 0.1589 | 0.1606 |
| 0.7021 | 4.0 | 1376 | 0.7370 | 0.1671 | 0.138 | 0.1603 | 0.1618 |
| 0.6976 | 5.0 | 1720 | 0.7321 | 0.1672 | 0.1387 | 0.1605 | 0.1622 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1