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Mardiyyah/
CeLLaTe-tapt-pubmedbert-tokenizer-original-spanmask-combinedData

Name: CeLLaTe-tapt-pubmedbert-tokenizer-original-spanmask-combinedData
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CeLLaTe-tapt-pubmedbert-tokenizer-original-spanmask-combinedData

This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext on the Mardiyyah/Combined_TAPT_dataset dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 3407
gradient_accumulation_steps: 2
total_train_batch_size: 64
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: 100
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Perplexity
2.6735	1.0	28	2.2438	0.5810	9.4294
2.4083	2.0	56	2.1526	0.5907	8.6071
2.375	3.0	84	2.1275	0.5909	8.3943
2.3415	4.0	112	2.1319	0.5954	8.4312
2.3423	5.0	140	2.1031	0.5948	8.1917
2.3198	6.0	168	2.0806	0.5985	8.0092
2.31	7.0	196	2.0744	0.6028	7.9594
2.3199	8.0	224	2.1230	0.5918	8.3558
2.2729	9.0	252	2.0403	0.6020	7.6928
2.2842	10.0	280	2.1096	0.5930	8.2446
2.2639	11.0	308	2.0864	0.5989	8.0560
2.2578	12.0	336	2.0610	0.6004	7.8541
2.2211	13.0	364	2.1497	0.5861	8.5819
2.2328	14.0	392	2.0952	0.5916	8.1274