token_fine_tunned_flipkart_2_gl7

vinayak361/token_fine_tunned_flipkart_2_gl7

token_fine_tunned_flipkart_2_gl7 is a token classification model from vinayak361. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jan 5, 2023
Updated: Jan 9, 2023
SHA: 80f05f82

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Model card

From the Hugging Face model README

token_fine_tunned_flipkart_2_gl7

This model is a fine-tuned version of vinayak361/token_fine_tunned_flipkart_2_gl on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7179
Precision: 0.7122
Recall: 0.7571
F1: 0.7340
Accuracy: 0.7485

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-06
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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	135	1.0392	0.6634	0.7121	0.6869	0.6982
No log	2.0	270	0.8567	0.6697	0.7128	0.6906	0.7093
No log	3.0	405	0.8102	0.6707	0.7204	0.6947	0.7146
0.9223	4.0	540	0.7840	0.6860	0.7363	0.7103	0.7253
0.9223	5.0	675	0.7668	0.6886	0.7301	0.7088	0.7267
0.9223	6.0	810	0.7543	0.6886	0.7329	0.7100	0.7301
0.9223	7.0	945	0.7501	0.6997	0.7384	0.7185	0.7340
0.708	8.0	1080	0.7383	0.6949	0.7426	0.7180	0.7335
0.708	9.0	1215	0.7360	0.7030	0.7453	0.7235	0.7379
0.708	10.0	1350	0.7319	0.7048	0.7453	0.7245	0.7389
0.708	11.0	1485	0.7306	0.7052	0.7467	0.7254	0.7398
0.6327	12.0	1620	0.7220	0.7049	0.7488	0.7262	0.7413
0.6327	13.0	1755	0.7198	0.7059	0.7509	0.7277	0.7432
0.6327	14.0	1890	0.7203	0.7108	0.7585	0.7338	0.7481
0.5954	15.0	2025	0.7193	0.7118	0.7571	0.7337	0.7481
0.5954	16.0	2160	0.7175	0.7122	0.7585	0.7346	0.7476
0.5954	17.0	2295	0.7176	0.7144	0.7599	0.7364	0.7481
0.5954	18.0	2430	0.7183	0.7153	0.7599	0.7369	0.7490
0.5699	19.0	2565	0.7173	0.7122	0.7571	0.7340	0.7485
0.5699	20.0	2700	0.7179	0.7122	0.7571	0.7340	0.7485

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu102
Datasets 2.2.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jan 5, 2023
Updated: Jan 9, 2023