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yesj1234/kozh_mbartLarge_50p_run1

sourceHugging Faceupdated 3y agoView on Hugging Face
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kozhmbartLarge50p_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: 1.2170
  • —Bleu: 14.9441
  • —Gen Len: 15.5114

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
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 4
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 32
  • —totalevalbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossBleuGen Len
1.47360.430001.410212.295115.3131
1.34080.860001.293213.041815.7409
1.08581.290001.252713.692215.432
1.01271.6120001.240114.388915.5705
0.97172.0150001.217014.866515.541
0.78662.39180001.256914.465615.4235
0.76342.79210001.268715.013715.3378
0.62053.19240001.314914.647215.5406
0.57963.59270001.332314.887915.3233

Framework versions

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