metadata

tags:
  - generated_from_trainer
model_index:
  - name: dummy-translation
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation

dummy-translation

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on an unkown dataset.

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: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.8.2
Pytorch 1.9.0+cu102
Datasets 1.9.0
Tokenizers 0.10.3