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mbart_final_RAG

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mbart
text2text-generation
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metadata
library_name: transformers
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
  - generated_from_trainer
model-index:
  - name: mbart_final_RAG
    results: []

mbart_final_RAG

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset.

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: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 4
  • 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
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.0