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mgbam/
gaialab-polarity-v1

Name: gaialab-polarity-v1
Availability: InStock

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gaialab-polarity-v1

This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 6
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	F1 Macro	Accuracy
1.0964	1.0	65	1.0278	0.4173	0.4609
0.9716	2.0	130	0.9479	0.4838	0.5565
0.8278	3.0	195	0.8955	0.5363	0.6435
0.4912	4.0	260	0.9730	0.4922	0.5652
0.4128	5.0	325	1.0079	0.5208	0.6087
0.2996	6.0	390	1.0841	0.5324	0.6261