README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
  - generated_from_trainer
datasets:
  - kde4
metrics:
  - bleu
model-index:
  - name: finetuned-model
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: kde4
          type: kde4
          config: en-es
          split: train
          args: en-es
        metrics:
          - name: Bleu
            type: bleu
            value: 42.22590503762825

finetuned-model

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on the kde4 dataset. It achieves the following results on the evaluation set:

• Loss: 1.0902
• Bleu: 42.2259
• Bert Score: 0.9004

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: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1
• Datasets 2.14.6
• Tokenizers 0.14.1