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: 66.5055

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: 0.3047
Bleu: 66.5055
Gen Len: 33.2652

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
0.5109	1.0	6355	0.2620	71.2246	33.2335
0.4675	2.0	12710	0.2782	69.4236	33.2497
0.4352	3.0	19065	0.2898	68.2739	33.2898
0.405	4.0	25420	0.2984	67.0378	33.3903
0.3804	5.0	31775	0.3037	66.6051	33.2017
0.3597	6.0	38130	0.3054	66.5465	33.1819
0.3378	7.0	44485	0.3045	66.6307	33.274
0.3269	8.0	50840	0.3047	66.5055	33.2652

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3