gokuls/bert_12_layer_model_v3_48_emotion
09
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bert12layermodelv348emotion
This model is a fine-tuned version of gokuls/bert_12_layer_model_v3_complete_training_48 on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.4023
- Accuracy: 0.899
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
Framework versions
- Transformers 4.34.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.14.1
