respected-auk-145 – AI Model by ElMad | AlphaNeural AI

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ElMad/
respected-auk-145

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

autotrain_compatible

endpoints_compatible

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respected-auk-145

This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1608
Hamming Loss: 0.059
Zero One Loss: 0.4500
Jaccard Score: 0.3949
Hamming Loss Optimised: 0.058
Hamming Loss Threshold: 0.5957
Zero One Loss Optimised: 0.4275
Zero One Loss Threshold: 0.3876
Jaccard Score Optimised: 0.3382
Jaccard Score Threshold: 0.3000

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: 2.981063961904907e-05
train_batch_size: 32
eval_batch_size: 32
seed: 2024
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.913862773872536,0.981775961733248) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Hamming Loss	Zero One Loss	Jaccard Score	Hamming Loss Optimised	Hamming Loss Threshold	Zero One Loss Optimised	Zero One Loss Threshold	Jaccard Score Optimised	Jaccard Score Threshold
No log	1.0	100	0.1681	0.065	0.4988	0.4526	0.0636	0.5593	0.47	0.3764	0.3616	0.2689
No log	2.0	200	0.1608	0.059	0.4500	0.3949	0.058	0.5957	0.4275	0.3876	0.3382	0.3000

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.21.0