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gokuls/HBERTv1_48_L10_H512_A8_emotion

sourceHugging Faceupdated 3y agoView on Hugging Face
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HBERTv148L10H512A8_emotion

This model is a fine-tuned version of gokuls/HBERTv1_48_L10_H512_A8 on the emotion dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3384
  • —Accuracy: 0.8935

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
1.23291.02500.90040.673
0.59622.05000.44260.8655
0.36883.07500.37340.876
0.28244.010000.38680.8795
0.22425.012500.37150.879
0.18056.015000.33840.8935
0.15467.017500.36230.8815
0.12738.020000.35320.8885
0.10299.022500.39740.886
0.084810.025000.41090.8915

Framework versions

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