nllb-ecolindo / README.md
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metadata
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: nllb-ecolindo
    results: []
datasets:
  - yonathanstwn/ecolindo
language:
  - id
  - en

nllb-ecolindo

This model was trained from scratch on the EColIndo dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8704
  • Bleu: 37.2396

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 4000
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Bleu
1.3017 1.0 21019 0.9831 35.0676
1.0088 2.0 42038 0.9318 36.3191
0.9472 3.0 63057 0.9090 36.5221
0.9078 4.0 84076 0.8919 36.3949
0.8789 5.0 105095 0.8833 37.3689
0.8576 6.0 126114 0.8785 37.2262
0.8403 7.0 147133 0.8748 37.2933
0.8281 8.0 168152 0.8717 37.2952
0.8186 9.0 189171 0.8709 37.2801
0.813 10.0 210190 0.8704 37.2396

Framework versions

  • Transformers 4.26.1
  • Pytorch 2.0.0
  • Datasets 2.10.1
  • Tokenizers 0.11.0