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Mardiyyah/
4K_no_reinit_classifier_llrd0.9_LR-2e-05

Name: 4K_no_reinit_classifier_llrd0.9_LR-2e-05
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4K_no_reinit_classifier_llrd0.9_LR-2e-05

This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext on an unknown 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: 16
seed: 3407
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss
1.7917	1.0	609	1.6558
1.5856	2.0	1218	1.6535
1.4757	3.0	1827	1.5922
1.3937	4.0	2436	1.6836
1.3153	5.0	3045	1.6618
1.28	6.0	3654	1.7189
1.2495	7.0	4263	1.7239
1.2078	8.0	4872	1.6971
1.1789	9.0	5481	1.6779
1.1856	10.0	6090	1.6636