metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarization_model
results: []
summarization_model
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: 2.3498
- Rouge1: 0.2026
- Rouge2: 0.0961
- Rougel: 0.1673
- Rougelsum: 0.167
- Gen Len: 20.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.7994 | 0.1344 | 0.0398 | 0.1102 | 0.1104 | 20.0 |
| No log | 2.0 | 124 | 2.5713 | 0.154 | 0.0588 | 0.1246 | 0.1243 | 20.0 |
| No log | 3.0 | 186 | 2.4844 | 0.162 | 0.0621 | 0.1313 | 0.1311 | 20.0 |
| No log | 4.0 | 248 | 2.4358 | 0.1892 | 0.0847 | 0.1551 | 0.1549 | 20.0 |
| No log | 5.0 | 310 | 2.4020 | 0.1969 | 0.0947 | 0.1631 | 0.1628 | 20.0 |
| No log | 6.0 | 372 | 2.3818 | 0.1998 | 0.096 | 0.1653 | 0.1652 | 20.0 |
| No log | 7.0 | 434 | 2.3649 | 0.2014 | 0.0967 | 0.167 | 0.1668 | 20.0 |
| No log | 8.0 | 496 | 2.3570 | 0.2013 | 0.0959 | 0.1667 | 0.1665 | 20.0 |
| 2.7505 | 9.0 | 558 | 2.3518 | 0.2021 | 0.0962 | 0.1669 | 0.1668 | 20.0 |
| 2.7505 | 10.0 | 620 | 2.3498 | 0.2026 | 0.0961 | 0.1673 | 0.167 | 20.0 |
Framework versions
- Transformers 4.53.2
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4