Variant_new_pubmed_extended_reinit_llrd

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variant_tapt_freeze_llrd_LR_5e

This model is a fine-tuned version of Mardiyyah/variant-tapt_freeze_llrd-LR_5e-05 on the OTAR3088/Variants_IOB-V2 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0651
• Precision: 0.8584
• Recall: 0.8664
• F1: 0.8624
• Accuracy: 0.9858

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 3407
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.48.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.2
• Tokenizers 0.21.0