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
• train_batch_size: 32
• eval_batch_size: 64
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_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