ysenarath/roberta-base-sentiment140

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roberta-base-sentiment140

This model is a fine-tuned version of FacebookAI/roberta-base on the sentiment140 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3988
• —Accuracy: 0.883
• —Roc Auc: 0.9515
• —Precision: 0.8802
• —Recall: 0.8784
• —F1: 0.8793

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: 32
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.6.0+cu124
• —Datasets 3.3.2
• —Tokenizers 0.21.0