metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarize
results: []
summarize
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: 2.7414
- Rouge1: 0.1691
- Rouge2: 0.0572
- Rougel: 0.1342
- Rougelsum: 0.1342
- 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.1704 | 1.0 | 500 | 2.8278 | 0.1619 | 0.0527 | 0.1283 | 0.1283 | 19.0 |
| 2.9742 | 2.0 | 1000 | 2.7769 | 0.1666 | 0.0553 | 0.1322 | 0.1322 | 19.0 |
| 2.9285 | 3.0 | 1500 | 2.7561 | 0.1674 | 0.0562 | 0.1326 | 0.1326 | 19.0 |
| 2.903 | 4.0 | 2000 | 2.7452 | 0.1679 | 0.0562 | 0.1329 | 0.1329 | 19.0 |
| 2.8917 | 5.0 | 2500 | 2.7414 | 0.1691 | 0.0572 | 0.1342 | 0.1342 | 19.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2