anderloh/testModel

wav2vec2-2Class-easy-train-test-large

This model is a fine-tuned version of anderloh/Huggingface-wav2vec-2Class-easy-train-test on the anderloh/Master2ClassEasy dataset. It achieves the following results on the evaluation set:

• Loss: 0.1994
• Accuracy: 0.9623

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 0
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 800.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.98	11	0.7003	0.4088
No log	1.96	22	0.7001	0.4088
No log	2.93	33	0.6997	0.4151
No log	4.0	45	0.6991	0.4214
0.6976	4.98	56	0.6985	0.4277
0.6976	5.96	67	0.6977	0.4403
0.6976	6.93	78	0.6969	0.4465
0.6976	8.0	90	0.6957	0.4654
0.6952	8.98	101	0.6945	0.4654
0.6952	9.96	112	0.6934	0.4780
0.6952	10.93	123	0.6921	0.4906
0.6952	12.0	135	0.6906	0.5472
0.6952	12.98	146	0.6892	0.6101
0.6911	13.96	157	0.6878	0.6038
0.6911	14.93	168	0.6863	0.5912
0.6911	16.0	180	0.6847	0.5912
0.6911	16.98	191	0.6831	0.5849
0.6852	17.96	202	0.6815	0.5849
0.6852	18.93	213	0.6800	0.5849
0.6852	20.0	225	0.6782	0.5849
0.6852	20.98	236	0.6765	0.5849
0.6852	21.96	247	0.6750	0.5849
0.6783	22.93	258	0.6732	0.5849
0.6783	24.0	270	0.6713	0.5849
0.6783	24.98	281	0.6695	0.5849
0.6783	25.96	292	0.6674	0.5849
0.6676	26.93	303	0.6654	0.5849
0.6676	28.0	315	0.6631	0.5849
0.6676	28.98	326	0.6606	0.5849
0.6676	29.96	337	0.6579	0.5849
0.6676	30.93	348	0.6539	0.5849
0.6516	32.0	360	0.6493	0.5975
0.6516	32.98	371	0.6441	0.6101
0.6516	33.96	382	0.6349	0.6226
0.6516	34.93	393	0.6257	0.6289
0.6124	36.0	405	0.6117	0.6415
0.6124	36.98	416	0.5911	0.6667
0.6124	37.96	427	0.5672	0.6918
0.6124	38.93	438	0.5392	0.7233
0.5073	40.0	450	0.5042	0.7547
0.5073	40.98	461	0.4790	0.7673
0.5073	41.96	472	0.4759	0.7799
0.5073	42.93	483	0.4370	0.7987
0.5073	44.0	495	0.4352	0.7987
0.3489	44.98	506	0.4422	0.7987
0.3489	45.96	517	0.4154	0.8050
0.3489	46.93	528	0.4131	0.8050
0.3489	48.0	540	0.3976	0.8113
0.2962	48.98	551	0.3940	0.8113
0.2962	49.96	562	0.3715	0.8239
0.2962	50.93	573	0.3495	0.8428
0.2962	52.0	585	0.3481	0.8365
0.2962	52.98	596	0.3817	0.8176
0.2573	53.96	607	0.3412	0.8491
0.2573	54.93	618	0.3293	0.8491
0.2573	56.0	630	0.3548	0.8428
0.2573	56.98	641	0.3044	0.8428
0.2279	57.96	652	0.3235	0.8491
0.2279	58.93	663	0.3371	0.8491
0.2279	60.0	675	0.3128	0.8491
0.2279	60.98	686	0.3211	0.8553
0.2279	61.96	697	0.3030	0.8616
0.2167	62.93	708	0.2970	0.8616
0.2167	64.0	720	0.2995	0.8679
0.2167	64.98	731	0.2867	0.8742
0.2167	65.96	742	0.2636	0.8931
0.207	66.93	753	0.2848	0.8805
0.207	68.0	765	0.2751	0.8868
0.207	68.98	776	0.2564	0.8931
0.207	69.96	787	0.2544	0.8931
0.207	70.93	798	0.2954	0.8742
0.1899	72.0	810	0.2517	0.8931
0.1899	72.98	821	0.2506	0.8931
0.1899	73.96	832	0.2434	0.8931
0.1899	74.93	843	0.2383	0.8994
0.1801	76.0	855	0.2346	0.8994
0.1801	76.98	866	0.2298	0.8994
0.1801	77.96	877	0.2404	0.9057
0.1801	78.93	888	0.2674	0.8931
0.1692	80.0	900	0.2232	0.8994
0.1692	80.98	911	0.2390	0.8994
0.1692	81.96	922	0.2058	0.8931
0.1692	82.93	933	0.2114	0.9057
0.1692	84.0	945	0.2483	0.8994
0.1691	84.98	956	0.2259	0.9119
0.1691	85.96	967	0.2024	0.9119
0.1691	86.93	978	0.2019	0.8994
0.1691	88.0	990	0.1963	0.9245
0.1609	88.98	1001	0.2158	0.9119
0.1609	89.96	1012	0.1977	0.9119
0.1609	90.93	1023	0.1979	0.9182
0.1609	92.0	1035	0.2036	0.9119
0.1609	92.98	1046	0.1977	0.9245
0.1516	93.96	1057	0.1974	0.9182
0.1516	94.93	1068	0.1994	0.9245
0.1516	96.0	1080	0.1955	0.9119
0.1516	96.98	1091	0.1948	0.9119
0.1386	97.96	1102	0.1946	0.9245
0.1386	98.93	1113	0.1932	0.9245
0.1386	100.0	1125	0.1842	0.9371
0.1386	100.98	1136	0.1884	0.9308
0.1386	101.96	1147	0.1900	0.9371
0.1279	102.93	1158	0.1841	0.9308
0.1279	104.0	1170	0.1921	0.9245
0.1279	104.98	1181	0.1993	0.9245
0.1279	105.96	1192	0.1946	0.9308
0.1258	106.93	1203	0.1896	0.9308
0.1258	108.0	1215	0.1884	0.9308
0.1258	108.98	1226	0.1794	0.9434
0.1258	109.96	1237	0.1859	0.9245
0.1258	110.93	1248	0.2195	0.9119
0.1258	112.0	1260	0.2083	0.9182
0.1258	112.98	1271	0.2120	0.9245
0.1258	113.96	1282	0.2066	0.9308
0.1258	114.93	1293	0.1931	0.9308
0.1023	116.0	1305	0.1900	0.9308
0.1023	116.98	1316	0.2029	0.9308
0.1023	117.96	1327	0.1951	0.9245
0.1023	118.93	1338	0.2084	0.9119
0.0997	120.0	1350	0.2159	0.9245
0.0997	120.98	1361	0.2166	0.9245
0.0997	121.96	1372	0.1973	0.9308
0.0997	122.93	1383	0.1851	0.9245
0.0997	124.0	1395	0.2067	0.9245
0.1021	124.98	1406	0.1953	0.9245
0.1021	125.96	1417	0.1765	0.9434
0.1021	126.93	1428	0.1878	0.9308
0.1021	128.0	1440	0.2071	0.9245
0.0883	128.98	1451	0.2241	0.9182
0.0883	129.96	1462	0.2348	0.9119
0.0883	130.93	1473	0.2475	0.9057
0.0883	132.0	1485	0.2160	0.9182
0.0883	132.98	1496	0.2090	0.9308
0.0769	133.96	1507	0.2147	0.9245
0.0769	134.93	1518	0.2201	0.9245
0.0769	136.0	1530	0.2372	0.9182
0.0769	136.98	1541	0.2199	0.9182
0.0786	137.96	1552	0.2087	0.9182
0.0786	138.93	1563	0.1878	0.9308
0.0786	140.0	1575	0.1915	0.9371
0.0786	140.98	1586	0.2317	0.9245
0.0786	141.96	1597	0.2865	0.8931
0.0714	142.93	1608	0.2300	0.9245
0.0714	144.0	1620	0.2727	0.9057
0.0714	144.98	1631	0.2811	0.9057
0.0714	145.96	1642	0.2101	0.9371
0.0702	146.93	1653	0.2036	0.9308
0.0702	148.0	1665	0.2215	0.9371
0.0702	148.98	1676	0.2136	0.9182
0.0702	149.96	1687	0.2056	0.9434
0.0702	150.93	1698	0.2003	0.9371
0.0676	152.0	1710	0.2250	0.9308
0.0676	152.98	1721	0.1911	0.9560
0.0676	153.96	1732	0.2190	0.9245
0.0676	154.93	1743	0.1976	0.9308
0.0674	156.0	1755	0.1874	0.9497
0.0674	156.98	1766	0.2023	0.9371
0.0674	157.96	1777	0.2153	0.9497
0.0674	158.93	1788	0.2245	0.9434
0.0548	160.0	1800	0.2432	0.9245
0.0548	160.98	1811	0.2071	0.9434
0.0548	161.96	1822	0.1837	0.9497
0.0548	162.93	1833	0.1916	0.9497
0.0548	164.0	1845	0.2221	0.9497
0.0616	164.98	1856	0.2120	0.9497
0.0616	165.96	1867	0.1888	0.9560
0.0616	166.93	1878	0.1971	0.9497
0.0616	168.0	1890	0.2161	0.9434
0.0467	168.98	1901	0.2282	0.9371
0.0467	169.96	1912	0.3118	0.9057
0.0467	170.93	1923	0.2319	0.9497
0.0467	172.0	1935	0.2740	0.9308
0.0467	172.98	1946	0.2666	0.9308
0.0609	173.96	1957	0.2315	0.9434
0.0609	174.93	1968	0.2229	0.9371
0.0609	176.0	1980	0.2158	0.9434
0.0609	176.98	1991	0.2226	0.9434
0.0522	177.96	2002	0.2224	0.9308
0.0522	178.93	2013	0.2138	0.9434
0.0522	180.0	2025	0.2177	0.9371
0.0522	180.98	2036	0.1917	0.9434
0.0522	181.96	2047	0.1974	0.9560
0.0515	182.93	2058	0.2198	0.9497
0.0515	184.0	2070	0.2425	0.9245
0.0515	184.98	2081	0.2449	0.9308
0.0515	185.96	2092	0.2346	0.9308
0.045	186.93	2103	0.2331	0.9434
0.045	188.0	2115	0.2661	0.9371
0.045	188.98	2126	0.2291	0.9371
0.045	189.96	2137	0.2348	0.9371
0.045	190.93	2148	0.2309	0.9434
0.0403	192.0	2160	0.2789	0.9245
0.0403	192.98	2171	0.2540	0.9308
0.0403	193.96	2182	0.2372	0.9371
0.0403	194.93	2193	0.2508	0.9308
0.0476	196.0	2205	0.2194	0.9497
0.0476	196.98	2216	0.2307	0.9371
0.0476	197.96	2227	0.2719	0.9308
0.0476	198.93	2238	0.2804	0.9245
0.0457	200.0	2250	0.2755	0.9308
0.0457	200.98	2261	0.2353	0.9308
0.0457	201.96	2272	0.2189	0.9371
0.0457	202.93	2283	0.2163	0.9371
0.0457	204.0	2295	0.2110	0.9497
0.0393	204.98	2306	0.2316	0.9434
0.0393	205.96	2317	0.2465	0.9308
0.0393	206.93	2328	0.2376	0.9434
0.0393	208.0	2340	0.2171	0.9434
0.0443	208.98	2351	0.2395	0.9497
0.0443	209.96	2362	0.2906	0.8931
0.0443	210.93	2373	0.2608	0.9371
0.0443	212.0	2385	0.2321	0.9497
0.0443	212.98	2396	0.2464	0.9371
0.0539	213.96	2407	0.2442	0.9182
0.0539	214.93	2418	0.2512	0.9245
0.0539	216.0	2430	0.2265	0.9371
0.0539	216.98	2441	0.2127	0.9371
0.0415	217.96	2452	0.2844	0.9371
0.0415	218.93	2463	0.2489	0.9434
0.0415	220.0	2475	0.2120	0.9497
0.0415	220.98	2486	0.2015	0.9560
0.0415	221.96	2497	0.2510	0.9245
0.0325	222.93	2508	0.2875	0.9371
0.0325	224.0	2520	0.1994	0.9623
0.0325	224.98	2531	0.2033	0.9623
0.0325	225.96	2542	0.2391	0.9497
0.0249	226.93	2553	0.3044	0.9182
0.0249	228.0	2565	0.2825	0.9371
0.0249	228.98	2576	0.2347	0.9497
0.0249	229.96	2587	0.2405	0.9497
0.0249	230.93	2598	0.2537	0.9497
0.0358	232.0	2610	0.2709	0.9371
0.0358	232.98	2621	0.2445	0.9497
0.0358	233.96	2632	0.2436	0.9371
0.0358	234.93	2643	0.2227	0.9434
0.0345	236.0	2655	0.2208	0.9497
0.0345	236.98	2666	0.2293	0.9434
0.0345	237.96	2677	0.2160	0.9497
0.0345	238.93	2688	0.2086	0.9434
0.0339	240.0	2700	0.2640	0.9182
0.0339	240.98	2711	0.2954	0.9371
0.0339	241.96	2722	0.2507	0.9434
0.0339	242.93	2733	0.2273	0.9434
0.0339	244.0	2745	0.2422	0.9371
0.0309	244.98	2756	0.2931	0.9371
0.0309	245.96	2767	0.2695	0.9371
0.0309	246.93	2778	0.2646	0.9434
0.0309	248.0	2790	0.2315	0.9434
0.0301	248.98	2801	0.2270	0.9434
0.0301	249.96	2812	0.2447	0.9434
0.0301	250.93	2823	0.2586	0.9371
0.0301	252.0	2835	0.3039	0.9245
0.0301	252.98	2846	0.2777	0.9182
0.0335	253.96	2857	0.2566	0.9371
0.0335	254.93	2868	0.2603	0.9308
0.0335	256.0	2880	0.2699	0.9371
0.0335	256.98	2891	0.2838	0.9371
0.0249	257.96	2902	0.2573	0.9371
0.0249	258.93	2913	0.2652	0.9371
0.0249	260.0	2925	0.2622	0.9434
0.0249	260.98	2936	0.2583	0.9371
0.0249	261.96	2947	0.2324	0.9497
0.0308	262.93	2958	0.2782	0.9371
0.0308	264.0	2970	0.2519	0.9434
0.0308	264.98	2981	0.2634	0.9371
0.0308	265.96	2992	0.2647	0.9434
0.0282	266.93	3003	0.2588	0.9434
0.0282	268.0	3015	0.2315	0.9371
0.0282	268.98	3026	0.2293	0.9371
0.0282	269.96	3037	0.2375	0.9371
0.0282	270.93	3048	0.2439	0.9371
0.0347	272.0	3060	0.2542	0.9434
0.0347	272.98	3071	0.2402	0.9371
0.0347	273.96	3082	0.2365	0.9371
0.0347	274.93	3093	0.2757	0.9371
0.0211	276.0	3105	0.2508	0.9308
0.0211	276.98	3116	0.2395	0.9497
0.0211	277.96	3127	0.2536	0.9371
0.0211	278.93	3138	0.2685	0.9245
0.0248	280.0	3150	0.2975	0.9182
0.0248	280.98	3161	0.3234	0.9182
0.0248	281.96	3172	0.2707	0.9434
0.0248	282.93	3183	0.2250	0.9560
0.0248	284.0	3195	0.2319	0.9560
0.0243	284.98	3206	0.2525	0.9434
0.0243	285.96	3217	0.2661	0.9434
0.0243	286.93	3228	0.2844	0.9245
0.0243	288.0	3240	0.2571	0.9434
0.0223	288.98	3251	0.2517	0.9434
0.0223	289.96	3262	0.2636	0.9308
0.0223	290.93	3273	0.2694	0.9245
0.0223	292.0	3285	0.2306	0.9497
0.0223	292.98	3296	0.2377	0.9434
0.0234	293.96	3307	0.2698	0.9434
0.0234	294.93	3318	0.2839	0.9371
0.0234	296.0	3330	0.2502	0.9497
0.0234	296.98	3341	0.2704	0.9434
0.0256	297.96	3352	0.2879	0.9308
0.0256	298.93	3363	0.3078	0.9308
0.0256	300.0	3375	0.3160	0.9308
0.0256	300.98	3386	0.2706	0.9371
0.0256	301.96	3397	0.2504	0.9497
0.0224	302.93	3408	0.2454	0.9560
0.0224	304.0	3420	0.2480	0.9560
0.0224	304.98	3431	0.2511	0.9497
0.0224	305.96	3442	0.2796	0.9434
0.0155	306.93	3453	0.2932	0.9371
0.0155	308.0	3465	0.2997	0.9245
0.0155	308.98	3476	0.3044	0.9245
0.0155	309.96	3487	0.3256	0.9308
0.0155	310.93	3498	0.3401	0.9371
0.0226	312.0	3510	0.3068	0.9182
0.0226	312.98	3521	0.3017	0.9182
0.0226	313.96	3532	0.2941	0.9119
0.0226	314.93	3543	0.2840	0.9308
0.0153	316.0	3555	0.2900	0.9245
0.0153	316.98	3566	0.2923	0.9308
0.0153	317.96	3577	0.2965	0.9308
0.0153	318.93	3588	0.3202	0.9371
0.0183	320.0	3600	0.3325	0.9119
0.0183	320.98	3611	0.3441	0.9182
0.0183	321.96	3622	0.3004	0.9308
0.0183	322.93	3633	0.3022	0.9434
0.0183	324.0	3645	0.2958	0.9308
0.0257	324.98	3656	0.2943	0.9371
0.0257	325.96	3667	0.2945	0.9308
0.0257	326.93	3678	0.2910	0.9245
0.0257	328.0	3690	0.2856	0.9245
0.0164	328.98	3701	0.2580	0.9434
0.0164	329.96	3712	0.2566	0.9371
0.0164	330.93	3723	0.2538	0.9371
0.0164	332.0	3735	0.2448	0.9497
0.0164	332.98	3746	0.2544	0.9497
0.0222	333.96	3757	0.3075	0.9245
0.0222	334.93	3768	0.2757	0.9245
0.0222	336.0	3780	0.2715	0.9371
0.0222	336.98	3791	0.3330	0.9308
0.0212	337.96	3802	0.3560	0.9371
0.0212	338.93	3813	0.2832	0.9371
0.0212	340.0	3825	0.2855	0.9308
0.0212	340.98	3836	0.3063	0.9308
0.0212	341.96	3847	0.2915	0.9308
0.016	342.93	3858	0.2836	0.9434
0.016	344.0	3870	0.2805	0.9371
0.016	344.98	3881	0.2678	0.9497
0.016	345.96	3892	0.2840	0.9371
0.0163	346.93	3903	0.3048	0.9308
0.0163	348.0	3915	0.2761	0.9434
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0.0102	702.93	7908	0.3564	0.9371
0.0102	704.0	7920	0.3594	0.9371
0.0102	704.98	7931	0.3518	0.9371
0.0102	705.96	7942	0.3444	0.9434
0.008	706.93	7953	0.3426	0.9434
0.008	708.0	7965	0.3459	0.9434
0.008	708.98	7976	0.3511	0.9371
0.008	709.96	7987	0.3544	0.9434
0.008	710.93	7998	0.3567	0.9371
0.0053	712.0	8010	0.3674	0.9371
0.0053	712.98	8021	0.3630	0.9371
0.0053	713.96	8032	0.3602	0.9371
0.0053	714.93	8043	0.3566	0.9371
0.0071	716.0	8055	0.3646	0.9371
0.0071	716.98	8066	0.3646	0.9371
0.0071	717.96	8077	0.3593	0.9371
0.0071	718.93	8088	0.3625	0.9371
0.0071	720.0	8100	0.3610	0.9371
0.0071	720.98	8111	0.3589	0.9371
0.0071	721.96	8122	0.3529	0.9371
0.0071	722.93	8133	0.3484	0.9371
0.0071	724.0	8145	0.3469	0.9434
0.0098	724.98	8156	0.3481	0.9434
0.0098	725.96	8167	0.3464	0.9434
0.0098	726.93	8178	0.3482	0.9434
0.0098	728.0	8190	0.3467	0.9434
0.0159	728.98	8201	0.3461	0.9371
0.0159	729.96	8212	0.3438	0.9434
0.0159	730.93	8223	0.3394	0.9434
0.0159	732.0	8235	0.3356	0.9434
0.0159	732.98	8246	0.3356	0.9434
0.0128	733.96	8257	0.3372	0.9434
0.0128	734.93	8268	0.3392	0.9434
0.0128	736.0	8280	0.3455	0.9371
0.0128	736.98	8291	0.3487	0.9371
0.0086	737.96	8302	0.3468	0.9371
0.0086	738.93	8313	0.3445	0.9371
0.0086	740.0	8325	0.3425	0.9434
0.0086	740.98	8336	0.3453	0.9371
0.0086	741.96	8347	0.3448	0.9371
0.011	742.93	8358	0.3412	0.9371
0.011	744.0	8370	0.3392	0.9371
0.011	744.98	8381	0.3390	0.9371
0.011	745.96	8392	0.3395	0.9371
0.0074	746.93	8403	0.3383	0.9371
0.0074	748.0	8415	0.3378	0.9434
0.0074	748.98	8426	0.3348	0.9371
0.0074	749.96	8437	0.3335	0.9434
0.0074	750.93	8448	0.3342	0.9434
0.0087	752.0	8460	0.3347	0.9434
0.0087	752.98	8471	0.3363	0.9434
0.0087	753.96	8482	0.3378	0.9434
0.0087	754.93	8493	0.3384	0.9434
0.0061	756.0	8505	0.3406	0.9308
0.0061	756.98	8516	0.3440	0.9371
0.0061	757.96	8527	0.3441	0.9308
0.0061	758.93	8538	0.3424	0.9308
0.0119	760.0	8550	0.3426	0.9371
0.0119	760.98	8561	0.3428	0.9371
0.0119	761.96	8572	0.3440	0.9308
0.0119	762.93	8583	0.3443	0.9308
0.0119	764.0	8595	0.3455	0.9308
0.0056	764.98	8606	0.3460	0.9308
0.0056	765.96	8617	0.3463	0.9308
0.0056	766.93	8628	0.3466	0.9308
0.0056	768.0	8640	0.3466	0.9308
0.0094	768.98	8651	0.3474	0.9308
0.0094	769.96	8662	0.3476	0.9308
0.0094	770.93	8673	0.3482	0.9308
0.0094	772.0	8685	0.3486	0.9308
0.0094	772.98	8696	0.3485	0.9308
0.014	773.96	8707	0.3478	0.9308
0.014	774.93	8718	0.3472	0.9308
0.014	776.0	8730	0.3465	0.9308
0.014	776.98	8741	0.3461	0.9308
0.0126	777.96	8752	0.3467	0.9308
0.0126	778.93	8763	0.3471	0.9308
0.0126	780.0	8775	0.3471	0.9308
0.0126	780.98	8786	0.3472	0.9308
0.0126	781.96	8797	0.3471	0.9308
0.0048	782.22	8800	0.3472	0.9308

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2