xlm-roberta-large-azsci-topics

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xlm-roberta-large-azsci-topics

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

• Loss: 0.4012
• Precision: 0.9115
• Recall: 0.9158
• F1: 0.9121
• Accuracy: 0.9158

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Evaluation results

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2