---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small
  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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4021
- Rouge1: 0.2105
- Rouge2: 0.0893
- Rougel: 0.1404
- Rougelsum: 0.1404
- Gen Len: 19.0

## 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   | 3    | 3.5538          | 0.2105 | 0.0893 | 0.1754 | 0.1754    | 19.0    |
| No log        | 2.0   | 6    | 3.4762          | 0.2105 | 0.0893 | 0.1404 | 0.1404    | 19.0    |
| No log        | 3.0   | 9    | 3.4302          | 0.2105 | 0.0893 | 0.1404 | 0.1404    | 19.0    |
| No log        | 4.0   | 12   | 3.4021          | 0.2105 | 0.0893 | 0.1404 | 0.1404    | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0