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translation-not-evaluated

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translation-not-evaluated / README.md
lewtun's picture
lewtun HF Staff
Add evaluation results on the autoevaluate--wmt16-ro-en-sample config and test split of autoevaluate/wmt16-ro-en-sample
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - wmt16
  - autoevaluate/wmt16-sample
metrics:
  - bleu
duplicated_from: autoevaluate/translation
model-index:
  - name: autoevaluate/translation-not-evaluated
    results:
      - task:
          type: translation
          name: Translation
        dataset:
          name: autoevaluate/wmt16-ro-en-sample
          type: autoevaluate/wmt16-ro-en-sample
          config: autoevaluate--wmt16-ro-en-sample
          split: test
        metrics:
          - type: bleu
            value: 2.7663
            name: BLEU
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjliZDkxYzhhNDNkYTZkN2Q1MjA5ZmNjYWE2ZjViZDc3ODhmYTZhZDY4N2ViNWZmZTMzZjUwZTQ3YWIwOWNkMSIsInZlcnNpb24iOjF9.D9Y87BbOzY4GpXSTN0OuSiE92DlZR7Go_aJXoPJPgZ5erlPBtRM4dM64VpOET2fOoOWBP2mqyXryovjIQca8Bg
          - type: loss
            value: 4.943170070648193
            name: loss
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWFkNGIxMjJiMTUyMjM5NWFkYjMyODM4N2IwNTZhMjBiMTQ3YmU0ZWY5YjY5ZWU5NmRhOTYyZTIxZjE2ODBjNiIsInZlcnNpb24iOjF9.mQGJnrn2U5tJ5B2LcoCTZQFdJtbsTvu3q0U-Vlcx1unwhKF2q9aNtusz3xJanANreHs19uNcXvto3gRYKUswDw
          - type: gen_len
            value: 40.35
            name: gen_len
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGJjODc5YTI2NzYxZTE2YzFlZTAzMTYzMTI5OWE4ZjU2MzdhNTZiOTUzOGRlZmMwNzI4ZjVhZTcwNGE0ODQyZCIsInZlcnNpb24iOjF9.gDcAyE1NYrHlz1zw4zNMGkL0vobpNhZpx2DYvMIJQmkydcv5mdKMzujuDy4xFmHtP4bQTkvH96m7tLxCv3SgCw

translation

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the wmt16 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3170
  • Bleu: 28.5866
  • Gen Len: 33.9575

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
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.8302 0.03 1000 1.3170 28.5866 33.9575

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1