---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_small_sum
  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_sum

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2513
- Rouge1: 0.4054
- Rouge2: 0.235
- Rougel: 0.3672
- Rougelsum: 0.3674
- Gen Len: 17.9888

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 400  | 2.3801          | 0.3823 | 0.2151 | 0.3411 | 0.3409    | 18.2544 |
| 2.7768        | 2.0   | 800  | 2.2951          | 0.3984 | 0.2289 | 0.3602 | 0.3605    | 18.0169 |
| 2.5068        | 3.0   | 1200 | 2.2620          | 0.4033 | 0.2327 | 0.3652 | 0.3656    | 18.0069 |
| 2.4601        | 4.0   | 1600 | 2.2513          | 0.4054 | 0.235  | 0.3672 | 0.3674    | 17.9888 |


### Framework versions

- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1