---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_small_SA_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_SA_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: 0.8542
- Rouge1: 0.1048
- Rouge2: 0.0468
- Rougel: 0.1053
- Rougelsum: 0.1053
- Gen Len: 4.354

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.9168        | 1.0   | 527  | 1.0769          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 1.0195        | 2.0   | 1054 | 0.9827          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 0.9535        | 3.0   | 1581 | 0.9101          | 0.0156 | 0.0053 | 0.0158 | 0.0155    | 3.2389  |
| 0.8636        | 4.0   | 2108 | 0.8914          | 0.0275 | 0.0061 | 0.0272 | 0.0277    | 3.5398  |
| 0.8634        | 5.0   | 2635 | 0.8782          | 0.0508 | 0.0184 | 0.0501 | 0.0511    | 3.885   |
| 0.8494        | 6.0   | 3162 | 0.8714          | 0.0703 | 0.0288 | 0.0695 | 0.0701    | 4.5398  |
| 0.7966        | 7.0   | 3689 | 0.8633          | 0.0715 | 0.0298 | 0.0712 | 0.0714    | 4.3628  |
| 0.8073        | 8.0   | 4216 | 0.8601          | 0.0869 | 0.0398 | 0.0868 | 0.0874    | 4.4336  |
| 0.8308        | 9.0   | 4743 | 0.8578          | 0.0936 | 0.0377 | 0.0933 | 0.0936    | 4.3628  |
| 0.8068        | 10.0  | 5270 | 0.8553          | 0.1014 | 0.0449 | 0.1019 | 0.1014    | 4.2301  |
| 0.8187        | 11.0  | 5797 | 0.8544          | 0.0951 | 0.0381 | 0.0949 | 0.0953    | 4.1681  |
| 0.7627        | 12.0  | 6324 | 0.8542          | 0.1048 | 0.0468 | 0.1053 | 0.1053    | 4.354   |


### Framework versions

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