metadata

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

opus-mt-finetuned-en-to-fr

This model is a fine-tuned version of 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