openalex-topic-classification-title-abstract

• Loss: 2.1286
• Accuracy: 0.5287

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 128
• eval_batch_size: 128
• 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: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10.0

Training results

Framework versions

• Transformers 4.49.0.dev0
• Pytorch 2.6.0+cu118
• Datasets 2.19.2
• Tokenizers 0.21.0