Training Loss	Epoch	Step	Validation Loss
6.3092	0.01	10	9.8250
5.7405	0.02	20	8.9631
2.3101	0.03	30	4.2371
-1.1908	0.04	40	1.2645
-1.8271	0.05	50	1.0242
-1.6416	0.06	60	0.9279
-1.8192	0.07	70	0.8478
-1.8256	0.08	80	0.7994
-1.9314	0.09	90	0.7673
-1.8831	0.1	100	0.7432
-1.7094	0.11	110	0.7269
-1.8073	0.12	120	0.7155
-1.8911	0.13	130	0.7037
-1.786	0.14	140	0.6932
-2.0278	0.15	150	0.6846
-1.7418	0.16	160	0.6769
-2.0351	0.17	170	0.6691
-1.8694	0.18	180	0.6612
-1.7626	0.19	190	0.6551
-1.7849	0.2	200	0.6492
-2.0599	0.21	210	0.6446
-1.9591	0.22	220	0.6401
-1.9246	0.23	230	0.6359
-1.8881	0.24	240	0.6334
-1.9835	0.25	250	0.6306
-1.8657	0.26	260	0.6264
-1.9111	0.27	270	0.6225
-1.9939	0.28	280	0.6198
-2.0166	0.29	290	0.6170
-1.755	0.3	300	0.6144
-1.8769	0.31	310	0.6118
-1.9875	0.32	320	0.6107
-1.8674	0.33	330	0.6091
-1.8181	0.34	340	0.6079
-1.8287	0.35	350	0.6071
-1.8231	0.36	360	0.6043
-1.745	0.37	370	0.6030
-1.7558	0.38	380	0.6011
-1.9552	0.39	390	0.6009
-1.7529	0.4	400	0.5994
-1.8206	0.41	410	0.5984
-1.7374	0.42	420	0.5972
-1.6562	0.43	430	0.5952
-1.6346	0.44	440	0.5932
-1.7629	0.45	450	0.5933
-1.8789	0.46	460	0.5939
-1.7258	0.47	470	0.5912
-1.8586	0.48	480	0.5896
-1.8896	0.49	490	0.5890
-1.7129	0.5	500	0.5876
-1.7824	0.51	510	0.5860
-1.725	0.52	520	0.5855
-1.7602	0.53	530	0.5849
-1.6211	0.54	540	0.5848
-1.8583	0.55	550	0.5842
-1.5637	0.56	560	0.5832
-1.5247	0.57	570	0.5830
-1.7575	0.58	580	0.5818
-1.6036	0.59	590	0.5809
-1.7476	0.6	600	0.5802
-1.5963	0.61	610	0.5784
-1.6185	0.62	620	0.5778
-1.543	0.63	630	0.5770
-1.4096	0.64	640	0.5765
-1.6566	0.65	650	0.5771
-1.6998	0.66	660	0.5765
-1.5556	0.67	670	0.5762
-1.5735	0.68	680	0.5756
-1.4755	0.69	690	0.5750
-1.631	0.7	700	0.5756
-1.4281	0.71	710	0.5751
-1.5514	0.72	720	0.5739
-1.4284	0.73	730	0.5736
-1.5609	0.74	740	0.5729
-1.5762	0.75	750	0.5727
-1.5067	0.76	760	0.5719
-1.4276	0.77	770	0.5710
-1.4509	0.78	780	0.5707
-1.5881	0.79	790	0.5699
-1.5085	0.8	800	0.5696
-1.5048	0.81	810	0.5694
-1.4063	0.82	820	0.5694
-1.6457	0.83	830	0.5689
-1.357	0.84	840	0.5683
-1.5625	0.85	850	0.5684
-1.3136	0.86	860	0.5680
-1.3961	0.87	870	0.5669
-1.322	0.88	880	0.5664
-1.3932	0.89	890	0.5662
-1.3923	0.9	900	0.5665
-1.4139	0.91	910	0.5675
-1.4337	0.92	920	0.5666

Framework versions

Transformers 4.27.4
Pytorch 1.11.0+cu113
Datasets 2.11.0
Tokenizers 0.12.1

Bainbridge/dialogpt-medium-ear_1-hs_cn_decay

dialogpt-medium-ear_1-hs_cn_decay

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Bainbridge/
dialogpt-medium-ear_1-hs_cn_decay