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MM2157/
BERT_token_classification_14_techs

Name: BERT_token_classification_14_techs
Rating: 2.5 (6 reviews)

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BERT_token_classification_14_techs

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

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.5777	1.0	1907	0.4271	0.3517	0.0988	0.1543	0.8843
0.3951	2.0	3814	0.2512	0.4325	0.3259	0.3717	0.9227
0.2678	3.0	5721	0.1405	0.5783	0.5598	0.5689	0.9580
0.153	4.0	7628	0.0924	0.6640	0.6804	0.6721	0.9725
0.1129	5.0	9535	0.0717	0.7014	0.7462	0.7231	0.9773
0.0798	6.0	11442	0.0598	0.7699	0.8102	0.7895	0.9832
0.0637	7.0	13349	0.0405	0.8221	0.8484	0.8351	0.9883
0.0483	8.0	15256	0.0307	0.8259	0.8818	0.8529	0.9893
0.0375	9.0	17163	0.0244	0.8674	0.9123	0.8893	0.9919
0.0315	10.0	19070	0.0225	0.8752	0.9167	0.8955	0.9927