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Mardiyyah/
CeLLaTe-tapt-bioformer16l-tokenizer-original_v2

Name: CeLLaTe-tapt-bioformer16l-tokenizer-original_v2
Availability: InStock

generated_from_trainer

apache-2.0

endpoints_compatible

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CeLLaTe-tapt-bioformer16l-tokenizer-original_v2

This model is a fine-tuned version of bioformers/bioformer-16l on the Mardiyyah/TAPT_CeLLaTe2.0 dataset. It achieves the following results on the evaluation set:

Loss: 1.5001
Accuracy: 0.7147
Perplexity: 4.4820

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
1.698	1.0	15	1.5787	0.7114	4.8485
1.6839	2.0	30	1.5137	0.7147	4.5433
1.6846	3.0	45	1.5261	0.7109	4.6001
1.6437	4.0	60	1.4895	0.7200	4.4347
1.645	5.0	75	1.5032	0.7188	4.4961
1.5995	6.0	90	1.4965	0.7167	4.4660
1.5777	7.0	105	1.4347	0.7151	4.1985
1.5677	8.0	120	1.4652	0.7199	4.3282
1.5636	9.0	135	1.4912	0.7165	4.4422
1.5459	10.0	150	1.4509	0.7202	4.2671
1.5178	11.0	165	1.5107	0.7177	4.5301
1.5103	12.0	180	1.4657	0.7206	4.3307

Framework versions

Transformers 4.48.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.21.0

Mardiyyah/CeLLaTe-tapt-bioformer16l-tokenizer-original_v2

CeLLaTe-tapt-bioformer16l-tokenizer-original_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Mardiyyah/
CeLLaTe-tapt-bioformer16l-tokenizer-original_v2