---
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: 8.059
---

<!-- 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: 6.1298
- Bleu: 8.059
- Gen Len: 8.4704

## 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: 4.6e-08
- 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: 8

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
| 0.5745        | 1.0   | 13165  | 6.1275          | 7.8417 | 8.5553  |
| 0.564         | 2.0   | 26330  | 6.1295          | 7.8534 | 8.5544  |
| 0.5611        | 3.0   | 39495  | 6.1291          | 7.8887 | 8.5456  |
| 0.5538        | 4.0   | 52660  | 6.1288          | 7.7891 | 8.5627  |
| 0.566         | 5.0   | 65825  | 6.1296          | 8.0473 | 8.4714  |
| 0.5745        | 6.0   | 78990  | 6.1297          | 8.059  | 8.4695  |
| 0.5638        | 7.0   | 92155  | 6.1298          | 8.0595 | 8.47    |
| 0.5666        | 8.0   | 105320 | 6.1298          | 8.059  | 8.4704  |


### Framework versions

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