metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-amazon-en
results: []
t5-small-finetuned-amazon-en
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6372
- Rouge1: 23.1675
- Rouge2: 13.593
- Rougel: 22.2169
- Rougelsum: 22.3275
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.8706 | 1.0 | 79 | 2.7303 | 22.6649 | 13.1507 | 21.6996 | 21.8226 |
| 2.8591 | 2.0 | 158 | 2.6905 | 22.819 | 13.2646 | 21.8821 | 21.9906 |
| 2.8214 | 3.0 | 237 | 2.6750 | 22.8648 | 13.3025 | 21.931 | 22.0772 |
| 2.7875 | 4.0 | 316 | 2.6564 | 22.8115 | 13.2944 | 21.874 | 22.0061 |
| 2.779 | 5.0 | 395 | 2.6451 | 23.0489 | 13.5043 | 22.0878 | 22.2228 |
| 2.763 | 6.0 | 474 | 2.6435 | 23.0105 | 13.4214 | 22.0635 | 22.1647 |
| 2.7413 | 7.0 | 553 | 2.6385 | 23.1595 | 13.6131 | 22.2155 | 22.3352 |
| 2.7443 | 8.0 | 632 | 2.6372 | 23.1675 | 13.593 | 22.2169 | 22.3275 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.1.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0