property-query-analyzer – AI Model by hsharma1996 | AlphaNeural AI

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hsharma1996/
property-query-analyzer

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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property-query-analyzer

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

Loss: 607417.25
Property Type Accuracy: 0.102
Config F1: 0.0
Price Min Mse: 117061.2812
Price Max Mse: 490353.2188
Location F1: 0.0

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-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Property Type Accuracy	Config F1	Price Min Mse	Price Max Mse	Location F1
690858.96	1.0	625	670975.25	0.102	0.0	138166.9688	532805.4375	0.0
662804.68	2.0	1250	643823.75	0.118	0.0	128886.1406	514934.875	0.0
624329.52	3.0	1875	622994.5625	0.102	0.0	122034.8828	500957.0	0.0
572816.72	4.0	2500	611227.75	0.074	0.0	118267.9297	492957.0938	0.0
634617.56	5.0	3125	607417.25	0.102	0.0	117061.2812	490353.2188	0.0

Framework versions

Transformers 4.50.0
Pytorch 2.6.0
Datasets 3.4.1
Tokenizers 0.21.1