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qmeeus/
whisper-small-multilingual-spoken-ner-pipeline-lora

Name: whisper-small-multilingual-spoken-ner-pipeline-lora
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WhisperForSpokenNER

This model is a fine-tuned version of /esat/audioslave/qmeeus/exp/whisper_slu/train/whisper-small-spoken-ner on the facebook/voxpopuli de+es+fr+nl 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	F1 Score	Label F1	Wer
0.2746	0.36	200	0.2602	0.6565	0.8343	0.1090
0.2481	0.71	400	0.2465	0.6578	0.8348	0.1022
0.2385	1.07	600	0.2410	0.6685	0.8323	0.1048
0.2316	1.43	800	0.2374	0.6724	0.8317	0.1022
0.2291	1.79	1000	0.2348	0.6698	0.8292	0.0968
0.2205	2.14	1200	0.2334	0.6745	0.8339	0.0964
0.2211	2.5	1400	0.2319	0.6729	0.8327	0.0961
0.2163	2.86	1600	0.2305	0.6732	0.8300	0.0981
0.2108	3.22	1800	0.2299	0.6734	0.8328	0.0954
0.2104	3.57	2000	0.2297	0.6792	0.8369	0.0992
0.2124	3.93	2200	0.2279	0.6782	0.8346	0.0945
0.2027	4.29	2400	0.2279	0.6790	0.8336	0.0944
0.2055	4.65	2600	0.2275	0.6832	0.8347	0.0949
0.209	5.0	2800	0.2269	0.6822	0.8336	0.0983
0.2017	5.36	3000	0.2272	0.6835	0.8346	0.0979
0.2029	5.72	3200	0.2266	0.6819	0.8321	0.0966
0.201	6.08	3400	0.2266	0.6800	0.8327	0.0978
0.1985	6.43	3600	0.2267	0.6856	0.8335	0.0995
0.1996	6.79	3800	0.2265	0.6864	0.8343	0.0988
0.197	7.15	4000	0.2264	0.6843	0.8347	0.0986
0.1985	7.51	4200	0.2264	0.6838	0.8352	0.0985
0.1999	7.86	4400	0.2263	0.6861	0.8346	0.0978
0.1963	8.22	4600	0.2264	0.6864	0.8318	0.0978
0.1977	8.58	4800	0.2264	0.6875	0.8329	0.0979
0.1961	8.94	5000	0.2264	0.6872	0.8325	0.0980