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

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4567
- Rouge1: 2.9794
- Rouge2: 0.0784
- Rougel: 2.9416
- Rougelsum: 3.0119
- Gen Len: 9.5392

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.8983        | 1.0   | 455  | 3.6240          | 1.1964 | 0.0    | 1.193  | 1.2108    | 9.7647  |
| 3.6379        | 2.0   | 910  | 3.5350          | 1.3174 | 0.0    | 1.3085 | 1.3079    | 9.4902  |
| 3.9076        | 3.0   | 1365 | 3.4915          | 2.1136 | 0.0    | 2.0703 | 2.1291    | 9.5980  |
| 3.8679        | 4.0   | 1820 | 3.4649          | 2.8498 | 0.0784 | 2.8294 | 2.8802    | 9.5098  |
| 3.9169        | 5.0   | 2275 | 3.4567          | 2.9794 | 0.0784 | 2.9416 | 3.0119    | 9.5392  |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1