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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# T5-Small_Text-Summarization
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6045
- Rouge1: 0.2389
- Rouge2: 0.1905
- Rougel: 0.2306
- Rougelsum: 0.2307
- Gen Len: 18.9982
## 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: 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: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.9769 | 1.0 | 1895 | 1.7147 | 0.2325 | 0.1837 | 0.2227 | 0.2227 | 19.0 |
| 1.837 | 2.0 | 3790 | 1.6430 | 0.2369 | 0.1884 | 0.2283 | 0.2283 | 19.0 |
| 1.7849 | 3.0 | 5685 | 1.6137 | 0.2387 | 0.1901 | 0.2304 | 0.2304 | 18.9982 |
| 1.7791 | 4.0 | 7580 | 1.6045 | 0.2389 | 0.1905 | 0.2306 | 0.2307 | 18.9982 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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