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Mardiyyah/
cellate-tapt_base-LR_1e-05_grouped_txt

Name: cellate-tapt_base-LR_1e-05_grouped_txt
Availability: InStock

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cellate-tapt_base-LR_1e-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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 3407
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3595	1.0	6	1.2847	0.7278
1.3505	2.0	12	1.2635	0.7379
1.3676	3.0	18	1.3146	0.7406
1.2871	4.0	24	1.2949	0.7277
1.26	5.0	30	1.3364	0.7255
1.2586	6.0	36	1.3626	0.7243
1.307	7.0	42	1.2961	0.7280
1.248	8.0	48	1.2761	0.7266
1.2549	9.0	54	1.2707	0.7302
1.2123	10.0	60	1.3332	0.7139
1.2096	11.0	66	1.2993	0.7317
1.2494	12.0	72	1.2903	0.7274
1.2028	13.0	78	1.4261	0.7158
1.1927	14.0	84	1.2636	0.7219
1.2186	15.0	90	1.3468	0.7187
1.2001	16.0	96	1.3215	0.7183
1.3421	16.7273	100	1.2573	0.7397