Training Loss	Epoch	Step	Validation Loss	Mse	Rmse	Mae	R2
1.0552	1.0	6778	1.0304	1.0304	1.0151	0.6908	0.8146
0.7775	2.0	13556	0.8393	0.8393	0.9162	0.6069	0.8490
0.5806	3.0	20334	0.6831	0.6831	0.8265	0.5382	0.8771
0.4068	4.0	27112	0.5803	0.5803	0.7618	0.4616	0.8956
0.3122	5.0	33890	0.5134	0.5134	0.7165	0.4256	0.9077
0.2188	6.0	40668	0.4231	0.4231	0.6505	0.3486	0.9239
0.1637	7.0	47446	0.3956	0.3956	0.6289	0.3185	0.9288
0.1379	8.0	54224	0.3792	0.3792	0.6158	0.3185	0.9318
0.1052	9.0	61002	0.3598	0.3598	0.5999	0.2821	0.9353
0.088	10.0	67780	0.3550	0.3550	0.5958	0.2827	0.9361
0.0747	11.0	74558	0.3549	0.3549	0.5957	0.2897	0.9362
0.0603	12.0	81336	0.3376	0.3376	0.5811	0.2572	0.9393
0.056	13.0	88114	0.3351	0.3351	0.5789	0.2477	0.9397
0.043	14.0	94892	0.3277	0.3277	0.5725	0.2304	0.9411
0.0386	15.0	101670	0.3201	0.3201	0.5657	0.2277	0.9424
0.0354	16.0	108448	0.3167	0.3167	0.5628	0.2084	0.9430
0.0346	17.0	115226	0.3158	0.3158	0.5620	0.2069	0.9432
0.0284	18.0	122004	0.3109	0.3109	0.5576	0.1976	0.9441
0.0271	19.0	128782	0.3098	0.3098	0.5566	0.1937	0.9443
0.0245	20.0	135560	0.3097	0.3097	0.5565	0.1938	0.9443

dgalik/distilbert-finetuning-unhealthyConv-dropout005-epochs-20

distilbert-finetuning-unhealthyConv-dropout005-epochs-20