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

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

generated_from_trainer

apache-2.0

endpoints_compatible

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CeLLaTe-tapt-bioformer16l-tokenizer-original-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: 1.3169
Accuracy: 0.7273
Perplexity: 3.7320

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
1.5813	1.0	29	1.3846	0.7146	3.9930
1.5702	2.0	58	1.3532	0.7202	3.8697
1.5464	3.0	87	1.3704	0.7165	3.9369
1.5274	4.0	116	1.3697	0.7177	3.9340
1.51	5.0	145	1.3292	0.7220	3.7779
1.5048	6.0	174	1.3540	0.7222	3.8730
1.481	7.0	203	1.3357	0.7218	3.8025
1.4711	8.0	232	1.3570	0.7214	3.8844
1.4585	9.0	261	1.3379	0.7252	3.8111
1.452	10.0	290	1.3466	0.7221	3.8444

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-wwmask-combinedData

CeLLaTe-tapt-bioformer16l-tokenizer-original-wwmask-combinedData

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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