---
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: 4.6969
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 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: 5.3872
- Bleu: 4.6969
- Gen Len: 8.9556

## 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: 9e-09
- 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: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.7451        | 1.0   | 13165 | 5.3867          | 4.7469 | 8.918   |
| 0.7486        | 2.0   | 26330 | 5.3869          | 4.6995 | 8.9539  |
| 0.7707        | 3.0   | 39495 | 5.3872          | 4.6971 | 8.9559  |
| 0.7498        | 4.0   | 52660 | 5.3872          | 4.6971 | 8.9558  |
| 0.7367        | 5.0   | 65825 | 5.3872          | 4.6969 | 8.9556  |
| 0.7424        | 6.0   | 78990 | 5.3872          | 4.6969 | 8.9556  |


### Framework versions

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