deberta-v3-large-dapt-scientific-papers-pubmed-tapt

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deberta-v3-large-dapt-scientific-papers-pubmed-tapt

This model is a fine-tuned version of domenicrosati/deberta-v3-large-dapt-scientific-papers-pubmed on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.4429
• Accuracy: 0.5915

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1