---
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: 5.0757
- Bleu: 2.1864
- Gen Len: 11.867

## 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: 0.002
- 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   | 3.7998          | 1.6168 | 13.0394 |
| No log        | 2.0   | 110  | 3.6119          | 0.7534 | 13.2315 |
| No log        | 3.0   | 165  | 3.6447          | 0.6867 | 13.0443 |
| No log        | 4.0   | 220  | 3.7115          | 1.0019 | 12.0148 |
| No log        | 5.0   | 275  | 3.8782          | 1.3715 | 13.2217 |
| No log        | 6.0   | 330  | 4.0107          | 1.7444 | 11.266  |
| No log        | 7.0   | 385  | 4.1611          | 2.7707 | 11.665  |
| No log        | 8.0   | 440  | 4.3828          | 3.0123 | 12.0985 |
| No log        | 9.0   | 495  | 4.5123          | 3.0296 | 12.6502 |
| 2.3706        | 10.0  | 550  | 4.6470          | 2.3476 | 11.8768 |
| 2.3706        | 11.0  | 605  | 4.8186          | 2.0611 | 12.1182 |
| 2.3706        | 12.0  | 660  | 4.8997          | 2.173  | 11.6995 |
| 2.3706        | 13.0  | 715  | 4.9742          | 2.2424 | 12.1576 |
| 2.3706        | 14.0  | 770  | 5.0570          | 2.0142 | 12.2611 |
| 2.3706        | 15.0  | 825  | 5.0757          | 2.1864 | 11.867  |


### Framework versions

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