CoolFace
Modelpublic

gokuls/HBERTv1_48_L2_H512_A8_emotion

sourceHugging Faceupdated 3y agoView on Hugging Face
0likes7downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

HBERTv148L2H512A8_emotion

This model is a fine-tuned version of gokuls/HBERTv1_48_L2_H512_A8 on the emotion dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3286
  • —Accuracy: 0.892

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
0.77721.02500.35970.879
0.32362.05000.32670.883
0.24533.07500.31550.886
0.2014.010000.33500.889
0.16355.012500.32860.892
0.1356.015000.34900.883
0.10657.017500.36860.89
0.08878.020000.41640.8805
0.07199.022500.44090.8805
0.062610.025000.44640.8825

Framework versions

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