---
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-en-ar
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3
  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. -->

# opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8103
- Bleu: 8.7335
- Gen Len: 23.16

## 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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 14   | 8.4807          | 0.0    | 403.72  |
| No log        | 2.0   | 28   | 7.7371          | 0.0    | 189.68  |
| No log        | 3.0   | 42   | 7.2123          | 0.1961 | 80.52   |
| No log        | 4.0   | 56   | 6.8014          | 0.1764 | 100.08  |
| No log        | 5.0   | 70   | 6.4285          | 0.2171 | 54.96   |
| No log        | 6.0   | 84   | 6.1286          | 0.209  | 88.92   |
| No log        | 7.0   | 98   | 5.8323          | 0.2334 | 26.0    |
| No log        | 8.0   | 112  | 5.6044          | 0.2352 | 25.6    |
| No log        | 9.0   | 126  | 5.3873          | 0.2435 | 25.84   |
| No log        | 10.0  | 140  | 5.2068          | 0.2459 | 24.48   |
| No log        | 11.0  | 154  | 5.0464          | 0.6902 | 23.68   |
| No log        | 12.0  | 168  | 4.8825          | 0.7391 | 24.4    |
| No log        | 13.0  | 182  | 4.7366          | 1.185  | 22.68   |
| No log        | 14.0  | 196  | 4.5743          | 1.3994 | 23.6    |
| No log        | 15.0  | 210  | 4.4676          | 1.9653 | 23.84   |
| No log        | 16.0  | 224  | 4.3406          | 1.9566 | 23.88   |
| No log        | 17.0  | 238  | 4.2305          | 2.1215 | 22.88   |
| No log        | 18.0  | 252  | 4.1240          | 4.4593 | 22.28   |
| No log        | 19.0  | 266  | 4.0583          | 3.2999 | 22.52   |
| No log        | 20.0  | 280  | 3.9704          | 7.1094 | 23.12   |
| No log        | 21.0  | 294  | 3.9151          | 7.3081 | 23.12   |
| No log        | 22.0  | 308  | 3.8737          | 7.2132 | 23.72   |
| No log        | 23.0  | 322  | 3.8393          | 9.0724 | 22.92   |
| No log        | 24.0  | 336  | 3.8173          | 8.8528 | 23.0    |
| No log        | 25.0  | 350  | 3.8103          | 8.7335 | 23.16   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3