---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_small_A_SapBERT
  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_A_SapBERT

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: 0.8647
- Rouge1: 0.1085
- Rouge2: 0.0448
- Rougel: 0.1043
- Rougelsum: 0.1046
- Gen Len: 3.8938

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.034         | 1.0   | 527  | 1.1249          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 1.0575        | 2.0   | 1054 | 1.0118          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 0.9878        | 3.0   | 1581 | 0.9322          | 0.0104 | 0.0058 | 0.0101 | 0.0101    | 0.5221  |
| 0.8865        | 4.0   | 2108 | 0.9022          | 0.0363 | 0.0149 | 0.0349 | 0.0341    | 3.1681  |
| 0.8832        | 5.0   | 2635 | 0.8891          | 0.0758 | 0.0303 | 0.0713 | 0.0715    | 3.9558  |
| 0.8657        | 6.0   | 3162 | 0.8815          | 0.0955 | 0.041  | 0.0912 | 0.0924    | 4.292   |
| 0.8153        | 7.0   | 3689 | 0.8753          | 0.1007 | 0.0439 | 0.0948 | 0.0957    | 3.9292  |
| 0.8237        | 8.0   | 4216 | 0.8710          | 0.1063 | 0.0457 | 0.1006 | 0.1009    | 3.8319  |
| 0.8491        | 9.0   | 4743 | 0.8681          | 0.103  | 0.0418 | 0.0982 | 0.0989    | 3.708   |
| 0.8227        | 10.0  | 5270 | 0.8660          | 0.1085 | 0.0448 | 0.1043 | 0.1046    | 3.9027  |
| 0.8355        | 11.0  | 5797 | 0.8649          | 0.1085 | 0.0448 | 0.1043 | 0.1046    | 3.8938  |
| 0.7787        | 12.0  | 6324 | 0.8647          | 0.1085 | 0.0448 | 0.1043 | 0.1046    | 3.8938  |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2