---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: 7epochisdabest
  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. -->

# 7epochisdabest

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: 2.6723
- Rouge1: 0.1892
- Rouge2: 0.0723
- Rougel: 0.1517
- Rougelsum: 0.1515
- 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: 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: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.0939        | 1.0   | 1370 | 2.7942          | 0.1877 | 0.0727 | 0.1506 | 0.1505    | 18.894  |
| 2.9829        | 2.0   | 2740 | 2.7420          | 0.1901 | 0.0734 | 0.1523 | 0.152     | 19.0    |
| 2.9343        | 3.0   | 4110 | 2.7119          | 0.1898 | 0.0733 | 0.1522 | 0.1521    | 19.0    |
| 2.9013        | 4.0   | 5480 | 2.6937          | 0.1891 | 0.0723 | 0.1514 | 0.1512    | 19.0    |
| 2.8908        | 5.0   | 6850 | 2.6799          | 0.1895 | 0.0723 | 0.1515 | 0.1513    | 19.0    |
| 2.8676        | 6.0   | 8220 | 2.6749          | 0.1889 | 0.0722 | 0.1518 | 0.1517    | 19.0    |
| 2.8433        | 7.0   | 9590 | 2.6723          | 0.1892 | 0.0723 | 0.1517 | 0.1515    | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1