mbart_en_te_model / README.md
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metadata
library_name: transformers
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
  - generated_from_trainer
datasets:
  - flores
model-index:
  - name: mbart_en_te_model
    results: []

mbart_en_te_model

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the flores dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8832

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: 4
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 100 0.9786
No log 2.0 200 0.8959
No log 3.0 300 0.8832

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.1
  • Tokenizers 0.21.0