prodm93/twitter-text-sentiment-classifier

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texttwittertest

This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1495
• —Accuracy: 0.7577
• —F1: 0.7578

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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.5.1+cu121
• —Datasets 3.4.1
• —Tokenizers 0.21.1