---
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: 7.5841
---

<!-- 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: 6.1238
- Bleu: 7.5841
- Gen Len: 8.637

## 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: 1.95e-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: 8

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
| 1.095         | 1.0   | 13165  | 5.3184          | 6.334  | 8.369   |
| 0.9413        | 2.0   | 26330  | 5.7203          | 5.594  | 8.7455  |
| 0.8344        | 3.0   | 39495  | 5.8087          | 6.6194 | 8.4361  |
| 0.7357        | 4.0   | 52660  | 5.9580          | 6.4945 | 8.6002  |
| 0.6991        | 5.0   | 65825  | 5.9632          | 6.9872 | 8.656   |
| 0.642         | 6.0   | 78990  | 6.0651          | 7.5597 | 8.3432  |
| 0.6156        | 7.0   | 92155  | 6.1187          | 7.3866 | 8.7314  |
| 0.5699        | 8.0   | 105320 | 6.1238          | 7.5841 | 8.637   |


### Framework versions

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