metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-train
results: []
t5-small-train
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3623
- Rouge1: 40.5101
- Rouge2: 19.0112
- Rougel: 35.5748
- Rougelsum: 35.9291
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
---|---|---|---|---|---|---|---|
3.1374 | 1.0 | 45 | 2.6906 | 34.9598 | 15.4159 | 30.7378 | 30.9607 |
2.598 | 2.0 | 90 | 2.5073 | 38.2818 | 16.4572 | 34.168 | 34.1708 |
2.4287 | 3.0 | 135 | 2.4314 | 40.0863 | 18.3821 | 35.1633 | 35.441 |
2.3109 | 4.0 | 180 | 2.3939 | 40.3133 | 18.9829 | 35.6333 | 35.8475 |
2.2234 | 5.0 | 225 | 2.3762 | 40.405 | 18.7467 | 35.7971 | 36.035 |
2.2274 | 6.0 | 270 | 2.3686 | 40.507 | 18.8308 | 35.5185 | 35.8219 |
2.1655 | 7.0 | 315 | 2.3644 | 40.468 | 19.0659 | 35.6811 | 35.9991 |
2.1741 | 8.0 | 360 | 2.3623 | 40.5101 | 19.0112 | 35.5748 | 35.9291 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1