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: 2.7761
- Rouge1: 22.2092
- Rouge2: 12.9174
- Rougel: 21.2589
- Rougelsum: 21.3446
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.0202 | 1.0 | 79 | 2.7976 | 22.2635 | 12.9591 | 21.2824 | 21.3734 |
| 2.9673 | 2.0 | 158 | 2.7761 | 22.2092 | 12.9174 | 21.2589 | 21.3446 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.1.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0