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Mardiyyah/
CeLLaTe-tapt-bioformer16l-tokenizer-adapted-wwmask-combinedData

Name: CeLLaTe-tapt-bioformer16l-tokenizer-adapted-wwmask-combinedData
Availability: InStock

generated_from_trainer

apache-2.0

endpoints_compatible

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CeLLaTe-tapt-bioformer16l-tokenizer-adapted-wwmask-combinedData

This model is a fine-tuned version of bioformers/bioformer-16l on the Mardiyyah/Combined_TAPT_dataset dataset. It achieves the following results on the evaluation set:

Loss: 1.4792
Accuracy: 0.7139
Perplexity: 4.3895

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

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 results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Perplexity
1.9266	1.0	30	1.7206	0.6978	5.5881
1.8986	2.0	60	1.6633	0.7021	5.2767
1.8293	3.0	90	1.6614	0.7005	5.2666
1.8045	4.0	120	1.6091	0.7056	4.9982
1.7507	5.0	150	1.5792	0.7076	4.8511
1.7157	6.0	180	1.5732	0.7019	4.8221
1.7036	7.0	210	1.5474	0.7079	4.6994
1.647	8.0	240	1.5618	0.7075	4.7673
1.6048	9.0	270	1.5185	0.7092	4.5652
1.6109	10.0	300	1.5061	0.7127	4.5090
1.592	11.0	330	1.5194	0.7112	4.5696
1.5659	12.0	360	1.4839	0.7152	4.4103
1.552	13.0	390	1.4644	0.7169	4.3250
1.537	14.0	420	1.4882	0.7140	4.4291
1.5244	15.0	450	1.4913	0.7147	4.4430
1.4891	16.0	480	1.4797	0.7124	4.3915
1.4937	17.0	510	1.4396	0.7209	4.2189
1.4898	18.0	540	1.4614	0.7203	4.3120
1.4762	19.0	570	1.4471	0.7183	4.2507
1.4581	20.0	600	1.4833	0.7111	4.4076
1.4349	21.0	630	1.4684	0.7156	4.3423
1.4304	22.0	660	1.4600	0.7167	4.3062

Framework versions

Transformers 4.48.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.21.0

Mardiyyah/CeLLaTe-tapt-bioformer16l-tokenizer-adapted-wwmask-combinedData

CeLLaTe-tapt-bioformer16l-tokenizer-adapted-wwmask-combinedData

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Mardiyyah/
CeLLaTe-tapt-bioformer16l-tokenizer-adapted-wwmask-combinedData