---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tokipona_to_eng_model_v0.4
  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_v0.4

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: 3.8256
- Bleu: 0.6866
- Gen Len: 12.7094

## 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   | 61   | 3.9664          | 0.2896 | 14.4631 |
| No log        | 2.0   | 122  | 3.9429          | 0.4145 | 14.1527 |
| No log        | 3.0   | 183  | 3.9243          | 0.5075 | 14.3103 |
| No log        | 4.0   | 244  | 3.9089          | 0.4954 | 14.3498 |
| No log        | 5.0   | 305  | 3.8915          | 0.4979 | 13.8966 |
| No log        | 6.0   | 366  | 3.8795          | 0.6291 | 13.2611 |
| No log        | 7.0   | 427  | 3.8690          | 0.6926 | 13.4138 |
| No log        | 8.0   | 488  | 3.8568          | 0.6898 | 13.0493 |
| 4.0338        | 9.0   | 549  | 3.8464          | 0.7046 | 12.9212 |
| 4.0338        | 10.0  | 610  | 3.8395          | 0.6875 | 12.734  |
| 4.0338        | 11.0  | 671  | 3.8343          | 0.6789 | 12.9557 |
| 4.0338        | 12.0  | 732  | 3.8306          | 0.6854 | 12.8571 |
| 4.0338        | 13.0  | 793  | 3.8279          | 0.6854 | 12.8571 |
| 4.0338        | 14.0  | 854  | 3.8265          | 0.6855 | 12.7044 |
| 4.0338        | 15.0  | 915  | 3.8256          | 0.6866 | 12.7094 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3