roberta-large-neg-tags

• Loss: 0.0016
• Precision: 0.0
• Recall: 0.0
• F1: 0.0
• Accuracy: 0.9997

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-05
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4.0

Training results

Framework versions

• Transformers 4.25.0.dev0
• Pytorch 1.10.1
• Datasets 2.6.1
• Tokenizers 0.13.1