---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: test_sum_abs_t5_small_wasa_stops
  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. -->

# test_sum_abs_t5_small_wasa_stops

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8601
- Rouge1: 0.3823
- Rouge2: 0.2702
- Rougel: 0.3451
- Rougelsum: 0.3454
- Gen Len: 18.9864

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.0591        | 1.0   | 1764 | 0.9275          | 0.3767 | 0.2652 | 0.3403 | 0.3404    | 18.9787 |
| 0.9758        | 2.0   | 3528 | 0.8813          | 0.3817 | 0.2702 | 0.3448 | 0.345     | 18.9819 |
| 0.9575        | 3.0   | 5292 | 0.8648          | 0.3818 | 0.2692 | 0.3445 | 0.3446    | 18.987  |
| 0.9435        | 4.0   | 7056 | 0.8601          | 0.3823 | 0.2702 | 0.3451 | 0.3454    | 18.9864 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2