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gokuls/bert_12_layer_model_v4_48_emotion

sourceHugging Faceupdated 3y agoView on Hugging Face
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bert12layermodelv448emotion

This model is a fine-tuned version of gokuls/bert_12_layer_model_v4_complete_training_48 on the emotion dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.5438
  • —Accuracy: 0.4455

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
1.6051.02501.54380.4455
1.55642.05001.63430.318
1.58933.07501.58940.31
1.58394.010001.58410.3505
1.58795.012501.60870.275
1.58926.015001.58380.352
1.58197.017501.57550.3465
1.57668.020001.58000.347
1.57459.022501.57680.3505
1.571710.025001.57740.3455

Framework versions

  • —Transformers 4.34.0
  • —Pytorch 1.14.0a0+410ce96
  • —Datasets 2.14.5
  • —Tokenizers 0.14.1