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seq2seq-finetuned-slang-en

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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ROMANCE
tags:
  - generated_from_trainer
model-index:
  - name: seq2seq-finetuned-slang-en
    results: []

seq2seq-finetuned-slang-en

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

  • Loss: 0.0286

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: 3

Training results

Training Loss Epoch Step Validation Loss
0.0844 1.33 500 0.0714
0.0297 2.65 1000 0.0286

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Tokenizers 0.15.1