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seriouspark/
find_tune_bert_output

Name: find_tune_bert_output
Availability: InStock

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find_tune_bert_output

This model is a fine-tuned version of monologg/koelectra-small-v3-discriminator on an unknown 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	Overall Precision	Overall Recall	Overall F1	Overall Accuracy	Loc F1	Org F1	Per F1
0.2146	0.8	1000	0.2903	0.7632	0.8340	0.7970	0.9175	0.8729	0.6812	0.7966
0.2538	1.6	2000	0.2374	0.8183	0.8290	0.8236	0.9299	0.8940	0.7187	0.8178
0.2192	2.4	3000	0.2265	0.8246	0.8437	0.8340	0.9340	0.8956	0.7403	0.8322
0.1967	3.2	4000	0.2206	0.8261	0.8529	0.8393	0.9354	0.9047	0.7499	0.8290
0.1814	4.0	5000	0.2169	0.8371	0.8538	0.8453	0.9379	0.9057	0.7605	0.8388
0.1661	4.8	6000	0.2169	0.8403	0.8490	0.8446	0.9382	0.9050	0.7583	0.8378
0.1577	5.6	7000	0.2116	0.8413	0.8604	0.8507	0.9401	0.9088	0.7670	0.8472
0.1544	6.4	8000	0.2110	0.8468	0.8561	0.8514	0.9405	0.9090	0.7685	0.8477