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M2M100_hindi

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metadata
library_name: transformers
license: mit
base_model: facebook/m2m100_418M
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: M2M100_hindi
    results: []

M2M100_hindi

This model is a fine-tuned version of facebook/m2m100_418M on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1457
  • Bleu: 0.8204
  • Gen Len: 12.6935

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: 8
  • seed: 42
  • optimizer: Use 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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.2998 1.0 12709 0.2336 0.7346 12.6988
0.1572 2.0 25418 0.1457 0.8204 12.6935

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.4.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3