metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-multi-news
results: []
t5-small-finetuned-multi-news
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9807
- Rouge1: 14.227
- Rouge2: 4.3001
- Rougel: 10.7052
- Rougelsum: 12.5784
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: 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: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
---|---|---|---|---|---|---|---|
3.489 | 1.0 | 250 | 3.0402 | 14.1245 | 4.3869 | 10.6829 | 12.78 |
3.2405 | 2.0 | 500 | 2.9928 | 14.0471 | 4.1959 | 10.6048 | 12.4612 |
3.1865 | 3.0 | 750 | 2.9807 | 14.227 | 4.3001 | 10.7052 | 12.5784 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3