FacebookAI_roberta-base

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

• Loss: 1.0863
• Accuracy: 0.5738

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: 5e-05
• train_batch_size: 16
• 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1969	1.0	283	1.0546	0.5831
0.9632	2.0	566	0.9984	0.6089
0.7778	3.0	849	0.9108	0.6419

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu118
• Datasets 3.4.0
• Tokenizers 0.21.1