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opus-mt-tr-en-finetuned-az-to-en

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

  • Loss: nan
  • Bleu: 0.0002
  • Gen Len: 511.0

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: 0.2
  • 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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 38 nan 0.0002 511.0
No log 2.0 76 nan 0.0002 511.0
No log 3.0 114 nan 0.0002 511.0
No log 4.0 152 nan 0.0002 511.0
No log 5.0 190 nan 0.0002 511.0
No log 6.0 228 nan 0.0002 511.0
No log 7.0 266 nan 0.0002 511.0
No log 8.0 304 nan 0.0002 511.0
No log 9.0 342 nan 0.0002 511.0
No log 10.0 380 nan 0.0002 511.0

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.1
  • Tokenizers 0.12.1
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Dataset used to train PontifexMaximus/opus-mt-tr-en-finetuned-az-to-en

Evaluation results