roberta_bias

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4163
• Accuracy: 0.8944

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: 8
• eval_batch_size: 16
• 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
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3811	1.0	800	0.3968	0.8581
0.3316	2.0	1600	0.3870	0.8712
0.2051	3.0	2400	0.4163	0.8944

Framework versions

• Transformers 4.51.3
• Pytorch 2.1.2
• Datasets 3.5.1
• Tokenizers 0.21.1