---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tokipona_to_eng_model_v0.1
  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. -->

# tokipona_to_eng_model_v0.1

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: 4.0205
- Bleu: 0.5374
- Gen Len: 13.665

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 55   | 4.4955          | 0.3076 | 17.3941 |
| No log        | 2.0   | 110  | 4.3058          | 0.3156 | 17.0246 |
| No log        | 3.0   | 165  | 4.2148          | 0.5398 | 14.8128 |
| No log        | 4.0   | 220  | 4.1636          | 0.4959 | 14.069  |
| No log        | 5.0   | 275  | 4.1297          | 0.5139 | 13.9557 |
| No log        | 6.0   | 330  | 4.1066          | 0.5229 | 14.2906 |
| No log        | 7.0   | 385  | 4.0838          | 0.5232 | 14.3005 |
| No log        | 8.0   | 440  | 4.0668          | 0.5211 | 14.2217 |
| No log        | 9.0   | 495  | 4.0554          | 0.5184 | 14.2512 |
| 4.4686        | 10.0  | 550  | 4.0436          | 0.6523 | 14.0296 |
| 4.4686        | 11.0  | 605  | 4.0366          | 0.5346 | 13.7291 |
| 4.4686        | 12.0  | 660  | 4.0295          | 0.5335 | 13.6946 |
| 4.4686        | 13.0  | 715  | 4.0244          | 0.535  | 13.6798 |
| 4.4686        | 14.0  | 770  | 4.0213          | 0.5367 | 13.6798 |
| 4.4686        | 15.0  | 825  | 4.0205          | 0.5374 | 13.665  |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3