Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Binary
No log	0.19	50	4.4234	0.0162	0.0017	0.0162	0.0031	0.1558
No log	0.38	100	4.2882	0.0350	0.0028	0.0350	0.0047	0.3075
No log	0.58	150	3.9749	0.0404	0.0024	0.0404	0.0043	0.3170
No log	0.77	200	3.7072	0.0458	0.0070	0.0458	0.0109	0.3296
No log	0.96	250	3.4794	0.0836	0.0233	0.0836	0.0217	0.3580
4.1218	1.15	300	3.2647	0.1321	0.0526	0.1321	0.0640	0.3930
4.1218	1.34	350	3.0118	0.2318	0.1558	0.2318	0.1503	0.4623
4.1218	1.53	400	2.7772	0.2642	0.1570	0.2642	0.1752	0.4849
4.1218	1.73	450	2.5522	0.3585	0.3222	0.3585	0.2848	0.5520
4.1218	1.92	500	2.3428	0.3342	0.2725	0.3342	0.2563	0.5372
3.1065	2.11	550	2.0580	0.4124	0.3332	0.4124	0.3326	0.5887
3.1065	2.3	600	1.8454	0.4771	0.4322	0.4771	0.4131	0.6323
3.1065	2.49	650	1.6830	0.5310	0.4926	0.5310	0.4771	0.6733
3.1065	2.68	700	1.5545	0.5580	0.5326	0.5580	0.5096	0.6898
3.1065	2.88	750	1.3593	0.6253	0.5975	0.6253	0.5812	0.7388
2.2273	3.07	800	1.2047	0.6927	0.6715	0.6927	0.6535	0.7849
2.2273	3.26	850	1.1223	0.6765	0.6662	0.6765	0.6461	0.7728
2.2273	3.45	900	1.0296	0.7062	0.7121	0.7062	0.6756	0.7943
2.2273	3.64	950	1.0001	0.7251	0.7388	0.7251	0.7074	0.8081
2.2273	3.84	1000	0.9879	0.7466	0.7650	0.7466	0.7265	0.8229
1.734	4.03	1050	0.9078	0.7466	0.7590	0.7466	0.7323	0.8237
1.734	4.22	1100	0.8344	0.7898	0.8284	0.7898	0.7794	0.8550
1.734	4.41	1150	0.8199	0.7925	0.8029	0.7925	0.7749	0.8558
1.734	4.6	1200	0.7227	0.7951	0.8309	0.7951	0.7892	0.8566
1.734	4.79	1250	0.7666	0.7871	0.8246	0.7871	0.7768	0.8520
1.734	4.99	1300	0.7529	0.7871	0.7989	0.7871	0.7768	0.8531
1.4492	5.18	1350	0.7035	0.8032	0.8287	0.8032	0.7986	0.8633
1.4492	5.37	1400	0.6597	0.8194	0.8522	0.8194	0.8141	0.8739
1.4492	5.56	1450	0.6592	0.8113	0.8472	0.8113	0.8108	0.8690
1.4492	5.75	1500	0.6535	0.8248	0.8547	0.8248	0.8203	0.8784
1.4492	5.94	1550	0.6343	0.8167	0.8568	0.8167	0.8116	0.8701
1.2533	6.14	1600	0.5640	0.8356	0.8589	0.8356	0.8329	0.8860
1.2533	6.33	1650	0.5465	0.8383	0.8669	0.8383	0.8341	0.8889
1.2533	6.52	1700	0.5594	0.8248	0.8549	0.8248	0.8204	0.8776
1.2533	6.71	1750	0.5765	0.8464	0.8776	0.8464	0.8463	0.8935
1.2533	6.9	1800	0.5169	0.8571	0.8758	0.8571	0.8543	0.9000
1.138	7.09	1850	0.5206	0.8410	0.8676	0.8410	0.8421	0.8887
1.138	7.29	1900	0.5258	0.8544	0.8779	0.8544	0.8537	0.8992
1.138	7.48	1950	0.5855	0.8383	0.8693	0.8383	0.8384	0.8879
1.138	7.67	2000	0.5209	0.8491	0.8800	0.8491	0.8493	0.8943
1.138	7.86	2050	0.5150	0.8410	0.8710	0.8410	0.8411	0.8889
1.0249	8.05	2100	0.4937	0.8571	0.8840	0.8571	0.8568	0.9022
1.0249	8.25	2150	0.5344	0.8518	0.8790	0.8518	0.8492	0.8995
1.0249	8.44	2200	0.5322	0.8437	0.8751	0.8437	0.8428	0.8927
1.0249	8.63	2250	0.5533	0.8248	0.8561	0.8248	0.8233	0.8774
1.0249	8.82	2300	0.5242	0.8491	0.8797	0.8491	0.8469	0.8943
0.9523	9.01	2350	0.4938	0.8679	0.8911	0.8679	0.8669	0.9075
0.9523	9.2	2400	0.5037	0.8625	0.8888	0.8625	0.8627	0.9038
0.9523	9.4	2450	0.4973	0.8571	0.8794	0.8571	0.8565	0.9000
0.9523	9.59	2500	0.5343	0.8383	0.8705	0.8383	0.8384	0.8868
0.9523	9.78	2550	0.5493	0.8491	0.8746	0.8491	0.8472	0.8943
0.9523	9.97	2600	0.5226	0.8544	0.8783	0.8544	0.8537	0.8981
0.8792	10.16	2650	0.4883	0.8625	0.8857	0.8625	0.8598	0.9038
0.8792	10.35	2700	0.5178	0.8518	0.8784	0.8518	0.8503	0.8962
0.8792	10.55	2750	0.6273	0.8383	0.8756	0.8383	0.8363	0.8879
0.8792	10.74	2800	0.5229	0.8571	0.8855	0.8571	0.8576	0.9000
0.8792	10.93	2850	0.4617	0.8706	0.8924	0.8706	0.8686	0.9094
0.8251	11.12	2900	0.5764	0.8625	0.8874	0.8625	0.8626	0.9038
0.8251	11.31	2950	0.5111	0.8706	0.8960	0.8706	0.8689	0.9094
0.8251	11.51	3000	0.6013	0.8437	0.8603	0.8437	0.8410	0.8906
0.8251	11.7	3050	0.5968	0.8437	0.8682	0.8437	0.8405	0.8916
0.8251	11.89	3100	0.5467	0.8544	0.8806	0.8544	0.8542	0.8981
0.7578	12.08	3150	0.6015	0.8544	0.8774	0.8544	0.8523	0.8981
0.7578	12.27	3200	0.4897	0.8679	0.8814	0.8679	0.8632	0.9067
0.7578	12.46	3250	0.5395	0.8491	0.8765	0.8491	0.8460	0.8935
0.7578	12.66	3300	0.5873	0.8491	0.8767	0.8491	0.8489	0.8935
0.7578	12.85	3350	0.5386	0.8491	0.8735	0.8491	0.8498	0.8935
0.7295	13.04	3400	0.5826	0.8652	0.8949	0.8652	0.8663	0.9057
0.7295	13.23	3450	0.5358	0.8571	0.8859	0.8571	0.8562	0.9003
0.7295	13.42	3500	0.4802	0.8841	0.9017	0.8841	0.8838	0.9173
0.7295	13.61	3550	0.5709	0.8410	0.8692	0.8410	0.8404	0.8879
0.7295	13.81	3600	0.5420	0.8544	0.8738	0.8544	0.8535	0.8992
0.7295	14.0	3650	0.5384	0.8652	0.8817	0.8652	0.8635	0.9049
0.6874	14.19	3700	0.4911	0.8598	0.8753	0.8598	0.8593	0.9019
0.6874	14.38	3750	0.5172	0.8598	0.8826	0.8598	0.8588	0.9011
0.6874	14.57	3800	0.5024	0.8598	0.8814	0.8598	0.8592	0.9019
0.6874	14.77	3850	0.5202	0.8679	0.8908	0.8679	0.8667	0.9067

Framework versions

Transformers 4.38.2
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.15.1

fydhfzh/wav2vec2-classifier-aug

wav2vec2-classifier-aug

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

fydhfzh/
wav2vec2-classifier-aug