indecisive-shark-841 – AI Model by ElMad | AlphaNeural AI

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ElMad/
indecisive-shark-841

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text-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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indecisive-shark-841

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

Loss: 0.2711
Hamming Loss: 0.0841
Zero One Loss: 0.7338
Jaccard Score: 0.7256
Hamming Loss Optimised: 0.0769
Hamming Loss Threshold: 0.2886
Zero One Loss Optimised: 0.6700
Zero One Loss Threshold: 0.3320
Jaccard Score Optimised: 0.6490
Jaccard Score Threshold: 0.2887

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: 1.5605550155414308e-05
train_batch_size: 32
eval_batch_size: 32
seed: 2024
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 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	0.2990	0.0915	0.8	0.7956	0.089	0.3610	0.7837	0.3769	0.7756	0.2909
No log	2.0	200	0.2711	0.0841	0.7338	0.7256	0.0769	0.2886	0.6700	0.3320	0.6490	0.2887

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.21.0