README.md

metadata

license: mit
tags:
  - translation
  - generated_from_trainer
datasets:
  - kde4
metrics:
  - bleu
base_model: facebook/m2m100_418M
model-index:
  - name: m2m100_418M-fr
    results:
      - task:
          type: text2text-generation
          name: Sequence-to-sequence Language Modeling
        dataset:
          name: kde4
          type: kde4
          args: en-fr
        metrics:
          - type: bleu
            value: 51.1339693938271
            name: Bleu

m2m100_418M-fr

This model is a fine-tuned version of facebook/m2m100_418M on the kde4 dataset. It achieves the following results on the evaluation set:

• Loss: 0.7021
• Bleu: 51.1340

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
0.749	1.0	23645	0.7021	51.1344

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.10.0
• Datasets 1.15.2.dev0
• Tokenizers 0.10.3