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m2m100_1.2B

This model is a fine-tuned version of facebook/m2m100_1.2B on the wmt16 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8189
  • Bleu: 33.3632
  • Gen Len: 36.176

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: 4
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 10
  • total_train_batch_size: 40
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.7163 1.0 47790 0.8189 33.3632 36.176

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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Safetensors
Model size
1.24B params
Tensor type
F32
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Finetuned from

Dataset used to train kazandaev/m2m100_1.2B

Evaluation results