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---
license: apache-2.0
base_model: DevAibest/opus-mt-finetuned-en-to-fr
tags:
- generated_from_trainer
datasets:
- opus_books
metrics:
- bleu
model-index:
- name: opus-mt-finetuned-en-to-fr
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: opus_books
type: opus_books
config: en-fr
split: train
args: en-fr
metrics:
- name: Bleu
type: bleu
value: 58.5586
---
<!-- 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-finetuned-en-to-fr
This model is a fine-tuned version of [DevAibest/opus-mt-finetuned-en-to-fr](https://huggingface.co/DevAibest/opus-mt-finetuned-en-to-fr) on the opus_books dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4258
- Bleu: 58.5586
- Gen Len: 33.1588
## 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: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.6098 | 1.0 | 6355 | 0.3734 | 62.8908 | 33.1114 |
| 0.5651 | 2.0 | 12710 | 0.3939 | 60.8665 | 33.1092 |
| 0.5251 | 3.0 | 19065 | 0.4077 | 60.0062 | 33.1194 |
| 0.4997 | 4.0 | 25420 | 0.4175 | 59.1619 | 33.0824 |
| 0.4735 | 5.0 | 31775 | 0.4220 | 58.9039 | 33.1849 |
| 0.4474 | 6.0 | 38130 | 0.4255 | 58.6587 | 33.2334 |
| 0.4284 | 7.0 | 44485 | 0.4257 | 58.565 | 33.1984 |
| 0.406 | 8.0 | 50840 | 0.4258 | 58.5586 | 33.1588 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
|