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metadata
language:
  - ja
  - ko
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: jako_mbartLarge_100p_run1
    results: []

jako_mbartLarge_100p_run1

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

  • Loss: 0.6815
  • Bleu: 57.9768
  • Gen Len: 17.2796

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: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.7241 1.0 43504 0.7178 56.112 17.3165
0.5523 2.0 87009 0.6815 57.9768 17.2796
0.4356 3.0 130513 0.7014 58.5493 17.1569
0.3407 4.0 174018 0.7513 58.3826 17.1623
0.2605 5.0 217522 0.8122 58.7238 17.0888

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0