Training Loss	Epoch	Step	Validation Loss	Accuracy	Rate
1.9376	1.0	15	1.6974	0.3542	0.0010
1.4628	2.0	30	1.4891	0.4792	0.0010
1.1834	3.0	45	0.9756	0.7083	0.0009
0.9327	4.0	60	0.8686	0.6979	0.0009
0.781	5.0	75	0.7231	0.7083	0.0009
0.7408	6.0	90	0.5991	0.8229	0.0009
0.6046	7.0	105	0.5022	0.875	0.0009
0.5957	8.0	120	0.4873	0.8021	0.0009
0.5546	9.0	135	0.4919	0.8125	0.0008
0.5204	10.0	150	0.4814	0.8021	0.0008
0.4636	11.0	165	0.3945	0.8542	0.0008
0.4405	12.0	180	0.4338	0.8229	0.0008
0.4805	13.0	195	0.3747	0.8854	0.0008
0.39	14.0	210	0.3946	0.8854	0.0008
0.3982	15.0	225	0.3480	0.8438	0.0008
0.3967	16.0	240	0.3188	0.9271	0.0007
0.3836	17.0	255	0.4498	0.7812	0.0007
0.3764	18.0	270	0.2861	0.8958	0.0007
0.3387	19.0	285	0.2953	0.9062	0.0007
0.3749	20.0	300	0.2771	0.9062	0.0007
0.3353	21.0	315	0.3058	0.8958	0.0007
0.3523	22.0	330	0.2710	0.9062	0.0006
0.3383	23.0	345	0.2597	0.9167	0.0006
0.3223	24.0	360	0.3180	0.8854	0.0006
0.3644	25.0	375	0.2712	0.9062	0.0006
0.3015	26.0	390	0.2775	0.9062	0.0006
0.3186	27.0	405	0.2386	0.9375	0.0006
0.2915	28.0	420	0.3227	0.8958	0.0005
0.3049	29.0	435	0.2908	0.9167	0.0005
0.3131	30.0	450	0.2921	0.9062	0.0005
0.3187	31.0	465	0.2733	0.9062	0.0005
0.3051	32.0	480	0.2850	0.9062	0.0005
0.2775	33.0	495	0.2621	0.9062	0.0005
0.3331	34.0	510	0.2742	0.9167	0.0004
0.2854	35.0	525	0.3128	0.8854	0.0004
0.294	36.0	540	0.2455	0.9167	0.0004
0.2662	37.0	555	0.2602	0.875	0.0004

AntoineD/camembert_ccnet_classification_tools_classifier-only_fr_lr1e-3_V2

camembert_ccnet_classification_tools_classifier-only_fr_lr1e-3_V2