TAPT-V1-Bioformer-16L – AI Model by Mardiyyah | AlphaNeural AI

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Mardiyyah/
TAPT-V1-Bioformer-16L

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bioformers/bioformer-16L

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TAPT-V1-Bioformer-16L

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

Loss: 2.0032

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
2.0908	1.0	150	1.9890
1.862	2.0	300	2.1129
1.6906	3.0	450	2.1431
1.5674	4.0	600	2.1108
1.5622	5.0	750	2.1245
1.4715	6.0	900	2.1117
1.4321	7.0	1050	2.1577
1.3189	8.0	1200	2.1733
1.2598	9.0	1350	2.1789
1.3167	10.0	1500	2.2537

Framework versions

Transformers 4.48.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.21.0