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bert-base-uncased-emotions – AI Model by anishhguptaa | AlphaNeural AI

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anishhguptaa/
bert-base-uncased-emotions

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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results

This model is a fine-tuned version of bert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.3890
Accuracy: 0.938
F1: 0.9375

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 64
num_epochs: 12

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2