Training Loss	Epoch	Step	Validation Loss	F1
0.5973	0.01	500	0.5186	0.7538
0.5021	0.03	1000	0.4646	0.7996
0.4741	0.04	1500	0.4634	0.8064
0.4656	0.06	2000	0.4485	0.8142
0.4567	0.07	2500	0.4345	0.8160
0.4448	0.09	3000	0.4239	0.8228
0.4403	0.1	3500	0.4155	0.8294
0.4163	0.12	4000	0.4021	0.8290
0.4205	0.13	4500	0.4057	0.8283
0.416	0.14	5000	0.4049	0.8319
0.4115	0.16	5500	0.4095	0.8280
0.4156	0.17	6000	0.3927	0.8349
0.4042	0.19	6500	0.4003	0.8392
0.4057	0.2	7000	0.3929	0.8385
0.3977	0.22	7500	0.3915	0.8406
0.4049	0.23	8000	0.3785	0.8433
0.4027	0.24	8500	0.3807	0.8424
0.4096	0.26	9000	0.3768	0.8435
0.3958	0.27	9500	0.3846	0.8420
0.4037	0.29	10000	0.3808	0.8381
0.3813	0.3	10500	0.4004	0.8415
0.3934	0.32	11000	0.3821	0.8422
0.3895	0.33	11500	0.3844	0.8428
0.3907	0.35	12000	0.3847	0.8435
0.3862	0.36	12500	0.3803	0.8431
0.3958	0.37	13000	0.3739	0.8392
0.3845	0.39	13500	0.3817	0.8422
0.3914	0.4	14000	0.3857	0.8424
0.3814	0.42	14500	0.3793	0.8438
0.3816	0.43	15000	0.3843	0.8395
0.4022	0.45	15500	0.3737	0.8436
0.3879	0.46	16000	0.3750	0.8424
0.3794	0.48	16500	0.3743	0.8410
0.393	0.49	17000	0.3733	0.8461
0.384	0.5	17500	0.3765	0.8476
0.3782	0.52	18000	0.3748	0.8451
0.3931	0.53	18500	0.3807	0.8454
0.3889	0.55	19000	0.3653	0.8463
0.386	0.56	19500	0.3707	0.8445
0.3802	0.58	20000	0.3700	0.8474
0.3883	0.59	20500	0.3646	0.8463
0.3825	0.61	21000	0.3665	0.8513
0.382	0.62	21500	0.3620	0.8508
0.3795	0.63	22000	0.3692	0.8493
0.367	0.65	22500	0.3704	0.8479
0.3825	0.66	23000	0.3723	0.8472
0.3902	0.68	23500	0.3681	0.8465
0.3813	0.69	24000	0.3668	0.8515
0.3878	0.71	24500	0.3632	0.8506
0.3743	0.72	25000	0.3728	0.8463
0.3826	0.73	25500	0.3746	0.8465
0.3892	0.75	26000	0.3602	0.8518
0.3767	0.76	26500	0.3722	0.8513
0.3724	0.78	27000	0.3716	0.8499
0.3767	0.79	27500	0.3651	0.8483
0.3846	0.81	28000	0.3753	0.8493
0.3748	0.82	28500	0.3720	0.8458
0.3768	0.84	29000	0.3663	0.8508
0.3716	0.85	29500	0.3635	0.8531
0.3673	0.86	30000	0.3659	0.8485
0.3805	0.88	30500	0.3608	0.8518
0.3718	0.89	31000	0.3695	0.8520
0.374	0.91	31500	0.3631	0.8485
0.3871	0.92	32000	0.3659	0.8485
0.3724	0.94	32500	0.3584	0.8518
0.3756	0.95	33000	0.3587	0.8492
0.3709	0.97	33500	0.3700	0.8488
0.376	0.98	34000	0.3657	0.8492
0.372	0.99	34500	0.3663	0.8483

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

juancavallotti/bert-zs-sentence-classifier

bert-zs-sentence-classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

juancavallotti/
bert-zs-sentence-classifier