metadata

language:
  - en
  - ro
  - multilingual
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - wmt16
metrics:
  - bleu
model-index:
  - name: distilled-mt5-small-0.8-2
    results:
      - task:
          type: translation
          name: Translation
        dataset:
          name: wmt16 ro-en
          type: wmt16
          args: ro-en
        metrics:
          - type: bleu
            value: 1.3564
            name: Bleu

distilled-mt5-small-0.8-2

This model is a fine-tuned version of google/mt5-small on the wmt16 ro-en dataset. It achieves the following results on the evaluation set:

Loss: 3.7465
Bleu: 1.3564
Gen Len: 89.6103

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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1