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opus-mt-it-pl

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metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-it-en
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: opus-it-pl-v1
    results: []

opus-it-pl-v1

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

  • Loss: 1.5582
  • Bleu: 7.9841
  • Gen Len: 36.3325

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
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
2.1347 1.0 8066 1.6707 7.0045 37.0437
1.9546 2.0 16132 1.5582 7.9841 36.3325

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1