Training Loss	Epoch	Step	Validation Loss
0.9887	0.1	400	0.9251
0.9326	0.21	800	1.0643
0.8767	0.31	1200	0.8270
0.9989	0.41	1600	1.0447
0.8717	0.51	2000	0.8382
0.8298	0.62	2400	0.8867
0.9462	0.72	2800	0.8950
0.8885	0.82	3200	0.8633
0.9317	0.92	3600	0.8930
0.7629	1.03	4000	1.1367
0.7152	1.13	4400	0.9594
0.66	1.23	4800	0.9411
0.6867	1.33	5200	1.1500
0.6281	1.44	5600	0.9684
0.6442	1.54	6000	1.1268
0.6769	1.64	6400	0.9762
0.7184	1.74	6800	0.8957
0.58	1.85	7200	0.9875
0.5751	1.95	7600	1.2363
0.4031	2.05	8000	1.3173
0.3862	2.15	8400	1.3331
0.5009	2.26	8800	1.4265
0.4591	2.36	9200	1.5329
0.4284	2.46	9600	1.3033
0.5236	2.56	10000	1.2444
0.5135	2.67	10400	1.2472
0.5369	2.77	10800	1.6505
0.4701	2.87	11200	1.3840
0.5371	2.97	11600	1.3600
0.2557	3.08	12000	1.4148
0.2952	3.18	12400	1.7975
0.2098	3.28	12800	2.0480
0.236	3.38	13200	1.9231
0.2414	3.49	13600	1.6038
0.387	3.59	14000	1.6627
0.3059	3.69	14400	1.5931
0.2872	3.79	14800	1.5828
0.1751	3.9	15200	1.9071
0.2429	4.0	15600	1.6990
0.164	4.1	16000	1.9178
0.0941	4.2	16400	2.1213
0.1948	4.31	16800	2.0160
0.1442	4.41	17200	2.0305
0.2209	4.51	17600	1.9717
0.1375	4.61	18000	2.0309
0.1995	4.72	18400	2.0615
0.1421	4.82	18800	2.0320
0.2076	4.92	19200	1.9974
0.0748	5.02	19600	1.9942
0.0689	5.13	20000	2.1029
0.0841	5.23	20400	2.2356
0.0782	5.33	20800	2.2074
0.1662	5.43	21200	2.3315
0.0415	5.54	21600	2.5986
0.0731	5.64	22000	2.2913
0.0851	5.74	22400	2.4306
0.0923	5.84	22800	2.4737
0.099	5.95	23200	2.2077
0.0297	6.05	23600	2.2406
0.0365	6.15	24000	2.5536
0.0131	6.25	24400	2.7311
0.0838	6.36	24800	2.3021
0.0392	6.46	25200	2.4769
0.0357	6.56	25600	2.4404
0.0955	6.66	26000	2.4813
0.1119	6.77	26400	2.3819
0.0916	6.87	26800	2.5341
0.1437	6.97	27200	2.2940
0.0333	7.08	27600	2.4652
0.0276	7.18	28000	2.5684
0.0306	7.28	28400	2.4722
0.0248	7.38	28800	2.7375
0.0199	7.49	29200	2.7708
0.0443	7.59	29600	2.7067
0.0119	7.69	30000	2.6394
0.0606	7.79	30400	2.5045
0.0467	7.9	30800	2.3479
0.0438	8.0	31200	2.7489
0.0033	8.1	31600	2.6423
0.0306	8.2	32000	2.5070
0.033	8.31	32400	2.7068
0.0114	8.41	32800	2.7400
0.0032	8.51	33200	2.5803
0.0305	8.61	33600	2.8058
0.0253	8.72	34000	2.5497
0.0183	8.82	34400	2.5782
0.0651	8.92	34800	2.7173
0.0345	9.02	35200	2.5939
0.0206	9.13	35600	2.6243
0.0018	9.23	36000	2.5503
0.0484	9.33	36400	2.7006
0.0359	9.43	36800	2.6202
0.006	9.54	37200	2.6260
0.0205	9.64	37600	2.7143
0.0153	9.74	38000	2.6923
0.0342	9.84	38400	2.6475
0.011	9.95	38800	2.6381

Framework versions

Transformers 4.27.3
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.2

radupascale/smashing-sexism-robert-weighted-final-2

smashing-sexism-robert-weighted-final-2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

radupascale/
smashing-sexism-robert-weighted-final-2