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gokuls/HBERTv1_48_L8_H512_A8_emotion

sourceHugging Faceupdated 3y agoView on Hugging Face
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HBERTv148L8H512A8_emotion

This model is a fine-tuned version of gokuls/HBERTv1_48_L8_H512_A8 on the emotion dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3711
  • —Accuracy: 0.891

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: 64
  • —evalbatchsize: 64
  • —seed: 33
  • —distributed_type: multi-GPU
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
1.38331.02501.05020.5915
0.77132.05000.60420.809
0.46273.07500.49750.8615
0.35784.010000.41750.8735
0.3015.012500.42720.875
0.25656.015000.38260.883
0.22857.017500.37110.891
0.20538.020000.37120.883
0.18089.022500.36180.888
0.166610.025000.36700.888

Framework versions

  • —Transformers 4.34.0
  • —Pytorch 1.14.0a0+410ce96
  • —Datasets 2.14.5
  • —Tokenizers 0.14.0