Training Loss	Epoch	Step	Validation Loss
9.109	0.01	10	9.8250
8.6669	0.02	20	8.9632
5.0713	0.03	30	4.2372
1.5919	0.04	40	1.2643
0.957	0.05	50	1.0243
1.0602	0.06	60	0.9280
0.9131	0.07	70	0.8479
0.8981	0.08	80	0.7994
0.6697	0.09	90	0.7674
0.9282	0.1	100	0.7433
0.9447	0.11	110	0.7271
0.7462	0.12	120	0.7156
0.7161	0.13	130	0.7040
0.8005	0.14	140	0.6934
0.579	0.15	150	0.6848
0.8563	0.16	160	0.6770
0.6635	0.17	170	0.6692
0.8981	0.18	180	0.6613
0.731	0.19	190	0.6552
0.9141	0.2	200	0.6492
0.5798	0.21	210	0.6446
0.6765	0.22	220	0.6400
0.621	0.23	230	0.6356
0.601	0.24	240	0.6330
0.5373	0.25	250	0.6301
0.64	0.26	260	0.6261
0.6474	0.27	270	0.6224
0.6433	0.28	280	0.6197
0.604	0.29	290	0.6167
0.6947	0.3	300	0.6143
0.606	0.31	310	0.6116
0.6329	0.32	320	0.6103
0.5827	0.33	330	0.6086
0.5401	0.34	340	0.6074
0.6682	0.35	350	0.6066
0.6235	0.36	360	0.6039
0.6753	0.37	370	0.6018
0.6582	0.38	380	0.6001
0.5886	0.39	390	0.5995
0.6826	0.4	400	0.5983
0.5701	0.41	410	0.5973
0.7211	0.42	420	0.5962
0.6857	0.43	430	0.5944
0.6894	0.44	440	0.5922
0.6034	0.45	450	0.5920
0.6199	0.46	460	0.5925
0.6487	0.47	470	0.5904
0.5674	0.48	480	0.5884
0.4604	0.49	490	0.5876
0.5617	0.5	500	0.5865
0.5553	0.51	510	0.5852
0.6245	0.52	520	0.5846
0.5015	0.53	530	0.5837
0.6115	0.54	540	0.5836
0.5197	0.55	550	0.5831
0.6451	0.56	560	0.5820
0.6348	0.57	570	0.5817
0.5413	0.58	580	0.5803
0.6283	0.59	590	0.5795
0.5502	0.6	600	0.5789
0.6853	0.61	610	0.5776
0.5457	0.62	620	0.5770
0.6369	0.63	630	0.5762
0.7152	0.64	640	0.5756
0.534	0.65	650	0.5759
0.5276	0.66	660	0.5753
0.6566	0.67	670	0.5750
0.504	0.68	680	0.5746
0.5552	0.69	690	0.5740
0.4891	0.7	700	0.5746
0.6463	0.71	710	0.5743
0.5943	0.72	720	0.5732
0.5833	0.73	730	0.5726
0.5904	0.74	740	0.5719
0.5971	0.75	750	0.5718
0.5906	0.76	760	0.5710
0.6268	0.77	770	0.5701
0.5872	0.78	780	0.5698
0.571	0.79	790	0.5690
0.6224	0.8	800	0.5686
0.5397	0.81	810	0.5683
0.5658	0.82	820	0.5683
0.4248	0.83	830	0.5680
0.5334	0.84	840	0.5674
0.5338	0.85	850	0.5672
0.641	0.86	860	0.5669
0.5601	0.87	870	0.5660
0.6031	0.88	880	0.5654
0.5738	0.89	890	0.5652
0.5619	0.9	900	0.5655
0.4863	0.91	910	0.5667
0.5421	0.92	920	0.5659

Framework versions

Transformers 4.27.4
Pytorch 1.11.0+cu113
Datasets 2.11.0
Tokenizers 0.12.1

Bainbridge/dialogpt-medium-no_ear

dialogpt-medium-no_ear

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Bainbridge/
dialogpt-medium-no_ear