token_fine_tunned_flipkart – AI Model by vinayak361 | AlphaNeural AI

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vinayak361/
token_fine_tunned_flipkart

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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token_fine_tunned_flipkart

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

Loss: 0.0992
Precision: 0.9526
Recall: 0.9669
F1: 0.9597
Accuracy: 0.9730

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	135	0.5967	0.7227	0.7830	0.7516	0.7932
No log	2.0	270	0.3673	0.8105	0.8623	0.8356	0.8747
No log	3.0	405	0.2679	0.8676	0.8854	0.8764	0.9094
0.6219	4.0	540	0.1972	0.8955	0.9217	0.9084	0.9355
0.6219	5.0	675	0.1500	0.9229	0.9374	0.9301	0.9525
0.6219	6.0	810	0.1240	0.9341	0.9509	0.9424	0.9609
0.6219	7.0	945	0.1041	0.9516	0.9650	0.9582	0.9720
0.2085	8.0	1080	0.0992	0.9526	0.9669	0.9597	0.9730

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu102
Datasets 2.2.2
Tokenizers 0.12.1