---
base_model: Zelyanoth/my_fon_translation_model
tags:
- generated_from_trainer
datasets:
- generator
metrics:
- bleu
model-index:
- name: my_fon_translation_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: generator
      type: generator
      config: default
      split: train
      args: default
    metrics:
    - name: Bleu
      type: bleu
      value: 4.6993
---

<!-- 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. -->

# my_fon_translation_model

This model is a fine-tuned version of [Zelyanoth/my_fon_translation_model](https://huggingface.co/Zelyanoth/my_fon_translation_model) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 5.3862
- Bleu: 4.6993
- Gen Len: 8.9558

## 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: 1.87e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
| 1.3141        | 1.0   | 13165  | 5.0069          | 3.3364 | 9.1891  |
| 1.1534        | 2.0   | 26330  | 5.1888          | 3.7137 | 9.1076  |
| 1.1158        | 3.0   | 39495  | 5.1695          | 4.1907 | 8.9998  |
| 0.9801        | 4.0   | 52660  | 5.2281          | 4.2697 | 8.8066  |
| 0.941         | 5.0   | 65825  | 5.3425          | 4.3691 | 9.0261  |
| 0.8676        | 6.0   | 78990  | 5.3371          | 4.0892 | 9.3749  |
| 0.8247        | 7.0   | 92155  | 5.3622          | 4.4876 | 9.1058  |
| 0.7925        | 8.0   | 105320 | 5.3538          | 4.728  | 8.9704  |
| 0.7639        | 9.0   | 118485 | 5.3862          | 4.6993 | 8.9558  |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2