---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ft-t5-small-on-info-lg-formal
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/huggingface/runs/ben1m3wk)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/huggingface/runs/ben1m3wk)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/huggingface/runs/ben1m3wk)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/huggingface/runs/ben1m3wk)
# ft-t5-small-on-info-lg-formal

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the Luganda Formal Data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1997
- Bleu: 15.1631
- Gen Len: 12.3001

## 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: 0.0001
- 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.5515        | 1.0   | 846   | 0.3160          | 1.5468  | 12.8596 |
| 0.3157        | 2.0   | 1692  | 0.2813          | 3.6176  | 13.2076 |
| 0.2801        | 3.0   | 2538  | 0.2576          | 5.4512  | 12.9075 |
| 0.2655        | 4.0   | 3384  | 0.2432          | 7.2817  | 12.6248 |
| 0.2468        | 5.0   | 4230  | 0.2307          | 8.9484  | 12.6766 |
| 0.2339        | 6.0   | 5076  | 0.2228          | 10.7122 | 12.475  |
| 0.225         | 7.0   | 5922  | 0.2165          | 11.5595 | 12.4025 |
| 0.2152        | 8.0   | 6768  | 0.2119          | 12.6485 | 12.3446 |
| 0.2094        | 9.0   | 7614  | 0.2079          | 12.9033 | 12.5243 |
| 0.2053        | 10.0  | 8460  | 0.2048          | 13.9509 | 12.4165 |
| 0.2019        | 11.0  | 9306  | 0.2033          | 14.4313 | 12.2947 |
| 0.1975        | 12.0  | 10152 | 0.2014          | 14.6399 | 12.2768 |
| 0.195         | 13.0  | 10998 | 0.2004          | 14.9622 | 12.3094 |
| 0.1927        | 14.0  | 11844 | 0.2000          | 14.8282 | 12.3087 |
| 0.1917        | 15.0  | 12690 | 0.1997          | 15.1631 | 12.3001 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1