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marianna13/mt5-small-finetuned-audio-text-cc

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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mt5-small-finetuned-audio-text-cc

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Rouge1: 0.0364
  • Rouge2: 0.0
  • Rougel: 0.0182
  • Rougelsum: 0.0182
  • Gen Len: 4.5

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
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 4
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
No log1.05nan0.03640.00.01820.01824.5
No log2.010nan0.03640.00.01820.01824.5
No log3.015nan0.03640.00.01820.01824.5
No log4.020nan0.03640.00.01820.01824.5

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1
  • Tokenizers 0.13.2