metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_summarization_model
results: []
my_awesome_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: 2.3370
- Rouge1: 0.2059
- Rouge2: 0.1034
- Rougel: 0.1724
- Rougelsum: 0.1724
- 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: 9
- eval_batch_size: 9
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 110 | 2.3919 | 0.2052 | 0.1025 | 0.1707 | 0.1708 | 20.0 |
| No log | 2.0 | 220 | 2.3604 | 0.2052 | 0.1031 | 0.1717 | 0.172 | 20.0 |
| No log | 3.0 | 330 | 2.3434 | 0.2053 | 0.1021 | 0.1714 | 0.1715 | 20.0 |
| No log | 4.0 | 440 | 2.3370 | 0.2059 | 0.1034 | 0.1724 | 0.1724 | 20.0 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1