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zhko_mbartLarge_50p_tokenize_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: 1.8482
  • Bleu: 30.6847
  • Gen Len: 14.6895

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
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 8

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.6487 1.0 2786 1.5519 26.5985 15.0925
1.1763 2.0 5572 1.4910 29.1024 14.8538
0.8697 3.0 8358 1.5510 29.5842 14.7611
0.6221 4.0 11144 1.6445 29.6959 14.7091
0.4444 5.0 13930 1.7176 29.6231 14.6204
0.3137 6.0 16716 1.7916 29.6666 14.524
0.2303 7.0 19502 1.8368 30.4697 14.5571
0.1888 8.0 22288 1.8482 30.6847 14.6895

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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