---
license: apache-2.0
base_model: google/t5-v1_1-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: byt5_small_finetune_summarize_main_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# byt5_small_finetune_summarize_main_model

This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/google/t5-v1_1-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5942
- Rouge1: 7.0544
- Rouge2: 0.4256
- Rougel: 6.3609
- Rougelsum: 6.7021
- Gen Len: 97.4725

## 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: 5e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 6.7669        | 1.0   | 1842 | 3.5277          | 4.2672 | 0.0086 | 4.1248 | 4.1938    | 98.8828 |
| 5.0736        | 2.0   | 3684 | 3.0404          | 4.6185 | 0.0587 | 4.4003 | 4.5195    | 98.6239 |
| 4.4296        | 3.0   | 5526 | 2.7410          | 5.3592 | 0.058  | 5.0985 | 5.2166    | 98.3321 |
| 4.1461        | 4.0   | 7368 | 2.6389          | 6.371  | 0.3169 | 5.9564 | 6.153     | 97.2772 |
| 3.9633        | 5.0   | 9210 | 2.5942          | 7.0544 | 0.4256 | 6.3609 | 6.7021    | 97.4725 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2