---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-fr_wmt14_En_Fr_1million_20epochs_v2
  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-en-fr_wmt14_En_Fr_1million_20epochs_v2

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.7777
- Bleu: 0.0052
- Gen Len: 511.0

## 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: 0.002
- train_batch_size: 60
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 2.0731        | 1.0   | 1667  | 4.9161          | 0.0    | 511.0   |
| 2.0281        | 2.0   | 3334  | 4.0396          | 0.0001 | 511.0   |
| 2.0226        | 3.0   | 5001  | 6.5526          | 0.0    | 511.0   |
| 1.9991        | 4.0   | 6668  | 4.6473          | 0.0001 | 511.0   |
| 1.991         | 5.0   | 8335  | 3.9736          | 0.0052 | 511.0   |
| 1.9749        | 6.0   | 10002 | 4.4897          | 0.0052 | 511.0   |
| 1.983         | 7.0   | 11669 | 5.7620          | 0.0052 | 511.0   |
| 1.9791        | 8.0   | 13336 | 5.9320          | 0.0    | 511.0   |
| 1.9494        | 9.0   | 15003 | 3.9506          | 0.0052 | 511.0   |
| 1.9482        | 10.0  | 16670 | 5.2391          | 0.0052 | 511.0   |
| 1.9328        | 11.0  | 18337 | 3.7053          | 0.0052 | 511.0   |
| 1.9201        | 12.0  | 20004 | 5.6524          | 0.0052 | 511.0   |
| 1.9242        | 13.0  | 21671 | 4.2519          | 0.0    | 511.0   |
| 1.9132        | 14.0  | 23338 | 6.6592          | 0.0052 | 511.0   |
| 1.9154        | 15.0  | 25005 | 6.1263          | 0.0052 | 511.0   |
| 1.9052        | 16.0  | 26672 | 7.1135          | 0.0052 | 511.0   |
| 1.9128        | 17.0  | 28339 | 6.1183          | 0.0    | 511.0   |
| 1.9015        | 18.0  | 30006 | 7.0262          | 0.0052 | 511.0   |
| 1.9025        | 19.0  | 31673 | 6.0193          | 0.0052 | 511.0   |
| 1.9015        | 20.0  | 33340 | 6.7777          | 0.0052 | 511.0   |


### Framework versions

- Transformers 4.32.1
- Pytorch 1.12.1
- Datasets 2.18.0
- Tokenizers 0.13.2