MaxKazak/ruBert-base-russian-emotion-detection

ruBert-base-russian-emotions-classifier-goEmotions

This model is a fine-tuned version of ai-forever/ruBert-base on Djacon/ru_goemotions. It achieves the following results on the evaluation set (2nd epoch):

• —Loss: 0.2088
• —AUC: 0.9240

The quality of the predicted probabilities on the test dataset is the following:

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.24.0
• —Pytorch 2.0.1
• —Datasets 2.12.0
• —Tokenizers 0.11.0