cnicu/tweet_emotions_classifier

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Tweet Emotion Classifier

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

• —Loss: 0.6042
• —Accuracy: 0.7914

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.27.2
• —Pytorch 1.13.1+cu116
• —Datasets 2.10.1
• —Tokenizers 0.13.2