cnut1648/biolinkbert-mnli

BioLinkBERT-large-mnli

This model is a fine-tuned version of BioLinkBERT-large on the GLUE MNLI dataset.

The results are

Model	Dataset	Acc
Roberta-large-mnli	MNLI dev mm	90.12
	MNLI dev m	90.59
	SNLI test	88.25
BioLinkBERT-large	MNLI dev mm	33.56
	MNLI dev m	33.18
	SNLI test	32.66
BioLinkBERT-large-mnli	MNLI dev mm	85.19
	MNLI dev m	84.96
	SNLI test	78.959

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.5
• num_epochs: 10.0
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.22.2
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1