gpt2-neurallinguisticpioneers

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6810

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
8.1162	0.01	1	6.2529
8.1162	0.01	2	4.5251
8.1162	0.02	3	3.0687
8.1162	0.02	4	1.8112
8.1162	0.03	5	1.1957
8.1162	0.03	6	0.9460
8.1162	0.04	7	0.8582
8.1162	0.04	8	0.8263
8.1162	0.05	9	0.8032
2.1875	0.05	10	0.7848
2.1875	0.06	11	0.7715
2.1875	0.06	12	0.7634
2.1875	0.07	13	0.7591
2.1875	0.07	14	0.7565
2.1875	0.08	15	0.7549
2.1875	0.09	16	0.7532
2.1875	0.09	17	0.7517
2.1875	0.1	18	0.7502
2.1875	0.1	19	0.7482
0.7815	0.11	20	0.7464
0.7815	0.11	21	0.7448
0.7815	0.12	22	0.7431
0.7815	0.12	23	0.7415
0.7815	0.13	24	0.7399
0.7815	0.13	25	0.7386
0.7815	0.14	26	0.7374
0.7815	0.14	27	0.7361
0.7815	0.15	28	0.7348
0.7815	0.16	29	0.7338
0.7937	0.16	30	0.7326
0.7937	0.17	31	0.7317
0.7937	0.17	32	0.7309
0.7937	0.18	33	0.7302
0.7937	0.18	34	0.7296
0.7937	0.19	35	0.7290
0.7937	0.19	36	0.7284
0.7937	0.2	37	0.7278
0.7937	0.2	38	0.7272
0.7937	0.21	39	0.7267
0.7899	0.21	40	0.7261
0.7899	0.22	41	0.7256
0.7899	0.22	42	0.7252
0.7899	0.23	43	0.7248
0.7899	0.24	44	0.7242
0.7899	0.24	45	0.7237
0.7899	0.25	46	0.7232
0.7899	0.25	47	0.7225
0.7899	0.26	48	0.7219
0.7899	0.26	49	0.7214
0.7555	0.27	50	0.7209
0.7555	0.27	51	0.7203
0.7555	0.28	52	0.7198
0.7555	0.28	53	0.7194
0.7555	0.29	54	0.7191
0.7555	0.29	55	0.7189
0.7555	0.3	56	0.7186
0.7555	0.3	57	0.7182
0.7555	0.31	58	0.7178
0.7555	0.32	59	0.7175
0.7823	0.32	60	0.7172
0.7823	0.33	61	0.7170
0.7823	0.33	62	0.7168
0.7823	0.34	63	0.7166
0.7823	0.34	64	0.7163
0.7823	0.35	65	0.7160
0.7823	0.35	66	0.7158
0.7823	0.36	67	0.7156
0.7823	0.36	68	0.7154
0.7823	0.37	69	0.7152
0.7324	0.37	70	0.7150
0.7324	0.38	71	0.7147
0.7324	0.39	72	0.7144
0.7324	0.39	73	0.7140
0.7324	0.4	74	0.7136
0.7324	0.4	75	0.7134
0.7324	0.41	76	0.7130
0.7324	0.41	77	0.7126
0.7324	0.42	78	0.7123
0.7324	0.42	79	0.7119
0.7982	0.43	80	0.7116
0.7982	0.43	81	0.7113
0.7982	0.44	82	0.7110
0.7982	0.44	83	0.7107
0.7982	0.45	84	0.7104
0.7982	0.45	85	0.7100
0.7982	0.46	86	0.7098
0.7982	0.47	87	0.7095
0.7982	0.47	88	0.7091
0.7982	0.48	89	0.7088
0.8248	0.48	90	0.7085
0.8248	0.49	91	0.7082
0.8248	0.49	92	0.7079
0.8248	0.5	93	0.7076
0.8248	0.5	94	0.7074
0.8248	0.51	95	0.7071
0.8248	0.51	96	0.7069
0.8248	0.52	97	0.7066
0.8248	0.52	98	0.7064
0.8248	0.53	99	0.7062
0.8284	0.53	100	0.7060
0.8284	0.54	101	0.7058
0.8284	0.55	102	0.7056
0.8284	0.55	103	0.7053
0.8284	0.56	104	0.7052
0.8284	0.56	105	0.7050
0.8284	0.57	106	0.7048
0.8284	0.57	107	0.7046
0.8284	0.58	108	0.7043
0.8284	0.58	109	0.7040
0.7394	0.59	110	0.7039
0.7394	0.59	111	0.7038
0.7394	0.6	112	0.7038
0.7394	0.6	113	0.7039
0.7394	0.61	114	0.7039
0.7394	0.61	115	0.7041
0.7394	0.62	116	0.7041
0.7394	0.63	117	0.7042
0.7394	0.63	118	0.7042
0.7394	0.64	119	0.7043
0.7026	0.64	120	0.7041
0.7026	0.65	121	0.7040
0.7026	0.65	122	0.7039
0.7026	0.66	123	0.7037
0.7026	0.66	124	0.7036
0.7026	0.67	125	0.7034
0.7026	0.67	126	0.7030
0.7026	0.68	127	0.7026
0.7026	0.68	128	0.7022
0.7026	0.69	129	0.7019
0.711	0.7	130	0.7015
0.711	0.7	131	0.7011
0.711	0.71	132	0.7008
0.711	0.71	133	0.7006
0.711	0.72	134	0.7004
0.711	0.72	135	0.7003
0.711	0.73	136	0.7001
0.711	0.73	137	0.7000
0.711	0.74	138	0.6999
0.711	0.74	139	0.6999
0.6655	0.75	140	0.6999
0.6655	0.75	141	0.6998
0.6655	0.76	142	0.6998
0.6655	0.76	143	0.6996
0.6655	0.77	144	0.6995
0.6655	0.78	145	0.6995
0.6655	0.78	146	0.6994
0.6655	0.79	147	0.6993
0.6655	0.79	148	0.6993
0.6655	0.8	149	0.6993
0.7044	0.8	150	0.6994
0.7044	0.81	151	0.6996
0.7044	0.81	152	0.6998
0.7044	0.82	153	0.6999
0.7044	0.82	154	0.7001
0.7044	0.83	155	0.7001
0.7044	0.83	156	0.7000
0.7044	0.84	157	0.6998
0.7044	0.84	158	0.6995
0.7044	0.85	159	0.6993
0.693	0.86	160	0.6990
0.693	0.86	161	0.6987
0.693	0.87	162	0.6984
0.693	0.87	163	0.6983
0.693	0.88	164	0.6981
0.693	0.88	165	0.6979
0.693	0.89	166	0.6976
0.693	0.89	167	0.6974
0.693	0.9	168	0.6972
0.693	0.9	169	0.6969
0.713	0.91	170	0.6967
0.713	0.91	171	0.6965
0.713	0.92	172	0.6963
0.713	0.93	173	0.6961
0.713	0.93	174	0.6959
0.713	0.94	175	0.6958
0.713	0.94	176	0.6956
0.713	0.95	177	0.6955
0.713	0.95	178	0.6953
0.713	0.96	179	0.6952
0.7331	0.96	180	0.6952
0.7331	0.97	181	0.6951
0.7331	0.97	182	0.6950
0.7331	0.98	183	0.6950
0.7331	0.98	184	0.6949
0.7331	0.99	185	0.6949
0.7331	0.99	186	0.6948
0.7331	1.0	187	0.6948
0.7331	1.01	188	0.6947
0.7331	1.01	189	0.6947
0.7024	1.02	190	0.6947
0.7024	1.02	191	0.6947
0.7024	1.03	192	0.6947
0.7024	1.03	193	0.6946
0.7024	1.04	194	0.6945
0.7024	1.04	195	0.6945
0.7024	1.05	196	0.6946
0.7024	1.05	197	0.6946
0.7024	1.06	198	0.6944
0.7024	1.06	199	0.6943
0.6302	1.07	200	0.6943
0.6302	1.07	201	0.6942
0.6302	1.08	202	0.6941
0.6302	1.09	203	0.6941
0.6302	1.09	204	0.6941
0.6302	1.1	205	0.6941
0.6302	1.1	206	0.6940
0.6302	1.11	207	0.6939
0.6302	1.11	208	0.6938
0.6302	1.12	209	0.6937
0.6372	1.12	210	0.6936
0.6372	1.13	211	0.6935
0.6372	1.13	212	0.6934
0.6372	1.14	213	0.6934
0.6372	1.14	214	0.6934
0.6372	1.15	215	0.6934
0.6372	1.16	216	0.6934
0.6372	1.16	217	0.6934
0.6372	1.17	218	0.6934
0.6372	1.17	219	0.6933
0.7487	1.18	220	0.6932
0.7487	1.18	221	0.6931
0.7487	1.19	222	0.6931
0.7487	1.19	223	0.6930
0.7487	1.2	224	0.6928
0.7487	1.2	225	0.6926
0.7487	1.21	226	0.6924
0.7487	1.21	227	0.6923
0.7487	1.22	228	0.6922
0.7487	1.22	229	0.6920
0.692	1.23	230	0.6919
0.692	1.24	231	0.6918
0.692	1.24	232	0.6917
0.692	1.25	233	0.6916
0.692	1.25	234	0.6916
0.692	1.26	235	0.6915
0.692	1.26	236	0.6915
0.692	1.27	237	0.6915
0.692	1.27	238	0.6916
0.692	1.28	239	0.6917
0.7377	1.28	240	0.6917
0.7377	1.29	241	0.6918
0.7377	1.29	242	0.6918
0.7377	1.3	243	0.6918
0.7377	1.3	244	0.6918
0.7377	1.31	245	0.6917
0.7377	1.32	246	0.6916
0.7377	1.32	247	0.6916
0.7377	1.33	248	0.6915
0.7377	1.33	249	0.6915
0.6835	1.34	250	0.6914
0.6835	1.34	251	0.6914
0.6835	1.35	252	0.6914
0.6835	1.35	253	0.6914
0.6835	1.36	254	0.6914
0.6835	1.36	255	0.6915
0.6835	1.37	256	0.6916
0.6835	1.37	257	0.6916
0.6835	1.38	258	0.6916
0.6835	1.39	259	0.6916
0.6302	1.39	260	0.6916
0.6302	1.4	261	0.6916
0.6302	1.4	262	0.6917
0.6302	1.41	263	0.6917
0.6302	1.41	264	0.6918
0.6302	1.42	265	0.6916
0.6302	1.42	266	0.6915
0.6302	1.43	267	0.6913
0.6302	1.43	268	0.6912
0.6302	1.44	269	0.6911
0.7234	1.44	270	0.6910
0.7234	1.45	271	0.6909
0.7234	1.45	272	0.6908
0.7234	1.46	273	0.6906
0.7234	1.47	274	0.6906
0.7234	1.47	275	0.6905
0.7234	1.48	276	0.6904
0.7234	1.48	277	0.6903
0.7234	1.49	278	0.6902
0.7234	1.49	279	0.6901
0.6754	1.5	280	0.6900
0.6754	1.5	281	0.6899
0.6754	1.51	282	0.6899
0.6754	1.51	283	0.6899
0.6754	1.52	284	0.6899
0.6754	1.52	285	0.6898
0.6754	1.53	286	0.6898
0.6754	1.53	287	0.6897
0.6754	1.54	288	0.6896
0.6754	1.55	289	0.6895
0.6729	1.55	290	0.6894
0.6729	1.56	291	0.6894
0.6729	1.56	292	0.6894
0.6729	1.57	293	0.6893
0.6729	1.57	294	0.6892
0.6729	1.58	295	0.6892
0.6729	1.58	296	0.6890
0.6729	1.59	297	0.6890
0.6729	1.59	298	0.6889
0.6729	1.6	299	0.6889
0.6323	1.6	300	0.6888
0.6323	1.61	301	0.6888
0.6323	1.61	302	0.6887
0.6323	1.62	303	0.6886
0.6323	1.63	304	0.6885
0.6323	1.63	305	0.6884
0.6323	1.64	306	0.6882
0.6323	1.64	307	0.6881
0.6323	1.65	308	0.6881
0.6323	1.65	309	0.6880
0.7545	1.66	310	0.6880
0.7545	1.66	311	0.6879
0.7545	1.67	312	0.6879
0.7545	1.67	313	0.6879
0.7545	1.68	314	0.6878
0.7545	1.68	315	0.6878
0.7545	1.69	316	0.6877
0.7545	1.7	317	0.6876
0.7545	1.7	318	0.6875
0.7545	1.71	319	0.6874
0.6746	1.71	320	0.6873
0.6746	1.72	321	0.6872
0.6746	1.72	322	0.6870
0.6746	1.73	323	0.6869
0.6746	1.73	324	0.6868
0.6746	1.74	325	0.6867
0.6746	1.74	326	0.6866
0.6746	1.75	327	0.6865
0.6746	1.75	328	0.6863
0.6746	1.76	329	0.6862
0.6963	1.76	330	0.6861
0.6963	1.77	331	0.6860
0.6963	1.78	332	0.6859
0.6963	1.78	333	0.6858
0.6963	1.79	334	0.6858
0.6963	1.79	335	0.6857
0.6963	1.8	336	0.6857
0.6963	1.8	337	0.6857
0.6963	1.81	338	0.6856
0.6963	1.81	339	0.6856
0.6206	1.82	340	0.6856
0.6206	1.82	341	0.6857
0.6206	1.83	342	0.6857
0.6206	1.83	343	0.6857
0.6206	1.84	344	0.6857
0.6206	1.84	345	0.6857
0.6206	1.85	346	0.6857
0.6206	1.86	347	0.6857
0.6206	1.86	348	0.6857
0.6206	1.87	349	0.6857
0.6714	1.87	350	0.6857
0.6714	1.88	351	0.6857
0.6714	1.88	352	0.6857
0.6714	1.89	353	0.6858
0.6714	1.89	354	0.6858
0.6714	1.9	355	0.6859
0.6714	1.9	356	0.6860
0.6714	1.91	357	0.6860
0.6714	1.91	358	0.6861
0.6714	1.92	359	0.6861
0.7122	1.93	360	0.6862
0.7122	1.93	361	0.6862
0.7122	1.94	362	0.6862
0.7122	1.94	363	0.6862
0.7122	1.95	364	0.6862
0.7122	1.95	365	0.6862
0.7122	1.96	366	0.6861
0.7122	1.96	367	0.6860
0.7122	1.97	368	0.6859
0.7122	1.97	369	0.6858
0.7182	1.98	370	0.6858
0.7182	1.98	371	0.6858
0.7182	1.99	372	0.6858
0.7182	1.99	373	0.6858
0.7182	2.0	374	0.6858
0.7182	2.01	375	0.6858
0.7182	2.01	376	0.6857
0.7182	2.02	377	0.6857
0.7182	2.02	378	0.6856
0.7182	2.03	379	0.6856
0.6543	2.03	380	0.6856
0.6543	2.04	381	0.6855
0.6543	2.04	382	0.6854
0.6543	2.05	383	0.6854
0.6543	2.05	384	0.6853
0.6543	2.06	385	0.6853
0.6543	2.06	386	0.6852
0.6543	2.07	387	0.6852
0.6543	2.07	388	0.6852
0.6543	2.08	389	0.6852
0.7564	2.09	390	0.6852
0.7564	2.09	391	0.6852
0.7564	2.1	392	0.6852
0.7564	2.1	393	0.6852
0.7564	2.11	394	0.6852
0.7564	2.11	395	0.6852
0.7564	2.12	396	0.6852
0.7564	2.12	397	0.6852
0.7564	2.13	398	0.6852
0.7564	2.13	399	0.6851
0.6413	2.14	400	0.6851
0.6413	2.14	401	0.6851
0.6413	2.15	402	0.6851
0.6413	2.16	403	0.6851
0.6413	2.16	404	0.6851
0.6413	2.17	405	0.6851
0.6413	2.17	406	0.6852
0.6413	2.18	407	0.6852
0.6413	2.18	408	0.6853
0.6413	2.19	409	0.6854
0.6271	2.19	410	0.6855
0.6271	2.2	411	0.6855
0.6271	2.2	412	0.6855
0.6271	2.21	413	0.6854
0.6271	2.21	414	0.6854
0.6271	2.22	415	0.6854
0.6271	2.22	416	0.6853
0.6271	2.23	417	0.6853
0.6271	2.24	418	0.6852
0.6271	2.24	419	0.6851
0.6567	2.25	420	0.6849
0.6567	2.25	421	0.6848
0.6567	2.26	422	0.6846
0.6567	2.26	423	0.6845
0.6567	2.27	424	0.6844
0.6567	2.27	425	0.6842
0.6567	2.28	426	0.6841
0.6567	2.28	427	0.6839
0.6567	2.29	428	0.6838
0.6567	2.29	429	0.6837
0.655	2.3	430	0.6836
0.655	2.3	431	0.6835
0.655	2.31	432	0.6834
0.655	2.32	433	0.6833
0.655	2.32	434	0.6832
0.655	2.33	435	0.6832
0.655	2.33	436	0.6832
0.655	2.34	437	0.6832
0.655	2.34	438	0.6832
0.655	2.35	439	0.6832
0.6582	2.35	440	0.6833
0.6582	2.36	441	0.6834
0.6582	2.36	442	0.6834
0.6582	2.37	443	0.6835
0.6582	2.37	444	0.6835
0.6582	2.38	445	0.6835
0.6582	2.39	446	0.6835
0.6582	2.39	447	0.6835
0.6582	2.4	448	0.6835
0.6582	2.4	449	0.6835
0.6078	2.41	450	0.6835
0.6078	2.41	451	0.6835
0.6078	2.42	452	0.6835
0.6078	2.42	453	0.6835
0.6078	2.43	454	0.6836
0.6078	2.43	455	0.6836
0.6078	2.44	456	0.6837
0.6078	2.44	457	0.6837
0.6078	2.45	458	0.6838
0.6078	2.45	459	0.6838
0.6529	2.46	460	0.6839
0.6529	2.47	461	0.6840
0.6529	2.47	462	0.6842
0.6529	2.48	463	0.6843
0.6529	2.48	464	0.6844
0.6529	2.49	465	0.6845
0.6529	2.49	466	0.6846
0.6529	2.5	467	0.6847
0.6529	2.5	468	0.6847
0.6529	2.51	469	0.6847
0.652	2.51	470	0.6848
0.652	2.52	471	0.6848
0.652	2.52	472	0.6847
0.652	2.53	473	0.6847
0.652	2.53	474	0.6846
0.652	2.54	475	0.6844
0.652	2.55	476	0.6843
0.652	2.55	477	0.6841
0.652	2.56	478	0.6840
0.652	2.56	479	0.6839
0.6467	2.57	480	0.6838
0.6467	2.57	481	0.6837
0.6467	2.58	482	0.6836
0.6467	2.58	483	0.6836
0.6467	2.59	484	0.6836
0.6467	2.59	485	0.6835
0.6467	2.6	486	0.6835
0.6467	2.6	487	0.6835
0.6467	2.61	488	0.6835
0.6467	2.61	489	0.6835
0.684	2.62	490	0.6835
0.684	2.63	491	0.6835
0.684	2.63	492	0.6835
0.684	2.64	493	0.6835
0.684	2.64	494	0.6834
0.684	2.65	495	0.6834
0.684	2.65	496	0.6833
0.684	2.66	497	0.6833
0.684	2.66	498	0.6832
0.684	2.67	499	0.6832
0.6397	2.67	500	0.6831
0.6397	2.68	501	0.6831
0.6397	2.68	502	0.6830
0.6397	2.69	503	0.6830
0.6397	2.7	504	0.6830
0.6397	2.7	505	0.6830
0.6397	2.71	506	0.6830
0.6397	2.71	507	0.6830
0.6397	2.72	508	0.6830
0.6397	2.72	509	0.6830
0.6555	2.73	510	0.6830
0.6555	2.73	511	0.6830
0.6555	2.74	512	0.6830
0.6555	2.74	513	0.6830
0.6555	2.75	514	0.6829
0.6555	2.75	515	0.6829
0.6555	2.76	516	0.6829
0.6555	2.76	517	0.6829
0.6555	2.77	518	0.6828
0.6555	2.78	519	0.6828
0.6674	2.78	520	0.6827
0.6674	2.79	521	0.6827
0.6674	2.79	522	0.6827
0.6674	2.8	523	0.6826
0.6674	2.8	524	0.6826
0.6674	2.81	525	0.6826
0.6674	2.81	526	0.6826
0.6674	2.82	527	0.6827
0.6674	2.82	528	0.6827
0.6674	2.83	529	0.6827
0.6873	2.83	530	0.6827
0.6873	2.84	531	0.6826
0.6873	2.84	532	0.6827
0.6873	2.85	533	0.6827
0.6873	2.86	534	0.6827
0.6873	2.86	535	0.6826
0.6873	2.87	536	0.6826
0.6873	2.87	537	0.6826
0.6873	2.88	538	0.6826
0.6873	2.88	539	0.6826
0.6506	2.89	540	0.6825
0.6506	2.89	541	0.6825
0.6506	2.9	542	0.6824
0.6506	2.9	543	0.6824
0.6506	2.91	544	0.6824
0.6506	2.91	545	0.6824
0.6506	2.92	546	0.6824
0.6506	2.93	547	0.6823
0.6506	2.93	548	0.6823
0.6506	2.94	549	0.6822
0.7203	2.94	550	0.6822
0.7203	2.95	551	0.6821
0.7203	2.95	552	0.6820
0.7203	2.96	553	0.6820
0.7203	2.96	554	0.6819
0.7203	2.97	555	0.6818
0.7203	2.97	556	0.6818
0.7203	2.98	557	0.6818
0.7203	2.98	558	0.6818
0.7203	2.99	559	0.6817
0.5701	2.99	560	0.6817
0.5701	3.0	561	0.6817
0.5701	3.01	562	0.6817
0.5701	3.01	563	0.6817
0.5701	3.02	564	0.6817
0.5701	3.02	565	0.6817
0.5701	3.03	566	0.6817
0.5701	3.03	567	0.6817
0.5701	3.04	568	0.6817
0.5701	3.04	569	0.6817
0.6936	3.05	570	0.6817
0.6936	3.05	571	0.6817
0.6936	3.06	572	0.6817
0.6936	3.06	573	0.6817
0.6936	3.07	574	0.6817
0.6936	3.07	575	0.6817
0.6936	3.08	576	0.6817
0.6936	3.09	577	0.6817
0.6936	3.09	578	0.6817
0.6936	3.1	579	0.6817
0.6722	3.1	580	0.6817
0.6722	3.11	581	0.6818
0.6722	3.11	582	0.6818
0.6722	3.12	583	0.6819
0.6722	3.12	584	0.6820
0.6722	3.13	585	0.6820
0.6722	3.13	586	0.6820
0.6722	3.14	587	0.6820
0.6722	3.14	588	0.6820
0.6722	3.15	589	0.6820
0.6676	3.16	590	0.6820
0.6676	3.16	591	0.6820
0.6676	3.17	592	0.6820
0.6676	3.17	593	0.6820
0.6676	3.18	594	0.6820
0.6676	3.18	595	0.6819
0.6676	3.19	596	0.6819
0.6676	3.19	597	0.6818
0.6676	3.2	598	0.6818
0.6676	3.2	599	0.6817
0.7445	3.21	600	0.6817
0.7445	3.21	601	0.6817
0.7445	3.22	602	0.6816
0.7445	3.22	603	0.6816
0.7445	3.23	604	0.6816
0.7445	3.24	605	0.6816
0.7445	3.24	606	0.6816
0.7445	3.25	607	0.6816
0.7445	3.25	608	0.6816
0.7445	3.26	609	0.6816
0.5487	3.26	610	0.6816
0.5487	3.27	611	0.6816
0.5487	3.27	612	0.6815
0.5487	3.28	613	0.6815
0.5487	3.28	614	0.6815
0.5487	3.29	615	0.6815
0.5487	3.29	616	0.6815
0.5487	3.3	617	0.6815
0.5487	3.3	618	0.6815
0.5487	3.31	619	0.6814
0.6195	3.32	620	0.6814
0.6195	3.32	621	0.6814
0.6195	3.33	622	0.6814
0.6195	3.33	623	0.6814
0.6195	3.34	624	0.6814
0.6195	3.34	625	0.6814
0.6195	3.35	626	0.6813
0.6195	3.35	627	0.6813
0.6195	3.36	628	0.6813
0.6195	3.36	629	0.6813
0.5994	3.37	630	0.6813
0.5994	3.37	631	0.6813
0.5994	3.38	632	0.6813
0.5994	3.39	633	0.6812
0.5994	3.39	634	0.6812
0.5994	3.4	635	0.6812
0.5994	3.4	636	0.6812
0.5994	3.41	637	0.6812
0.5994	3.41	638	0.6811
0.5994	3.42	639	0.6811
0.6741	3.42	640	0.6811
0.6741	3.43	641	0.6811
0.6741	3.43	642	0.6811
0.6741	3.44	643	0.6811
0.6741	3.44	644	0.6811
0.6741	3.45	645	0.6811
0.6741	3.45	646	0.6811
0.6741	3.46	647	0.6811
0.6741	3.47	648	0.6811
0.6741	3.47	649	0.6811
0.6098	3.48	650	0.6810
0.6098	3.48	651	0.6810
0.6098	3.49	652	0.6810
0.6098	3.49	653	0.6810
0.6098	3.5	654	0.6810
0.6098	3.5	655	0.6810
0.6098	3.51	656	0.6810
0.6098	3.51	657	0.6810
0.6098	3.52	658	0.6810
0.6098	3.52	659	0.6810
0.5846	3.53	660	0.6810
0.5846	3.53	661	0.6810
0.5846	3.54	662	0.6810
0.5846	3.55	663	0.6809
0.5846	3.55	664	0.6809
0.5846	3.56	665	0.6809
0.5846	3.56	666	0.6809
0.5846	3.57	667	0.6809
0.5846	3.57	668	0.6809
0.5846	3.58	669	0.6809
0.6812	3.58	670	0.6809
0.6812	3.59	671	0.6809
0.6812	3.59	672	0.6809
0.6812	3.6	673	0.6809
0.6812	3.6	674	0.6809
0.6812	3.61	675	0.6809
0.6812	3.61	676	0.6809
0.6812	3.62	677	0.6809
0.6812	3.63	678	0.6809
0.6812	3.63	679	0.6809
0.617	3.64	680	0.6808
0.617	3.64	681	0.6808
0.617	3.65	682	0.6808
0.617	3.65	683	0.6808
0.617	3.66	684	0.6808
0.617	3.66	685	0.6808
0.617	3.67	686	0.6808
0.617	3.67	687	0.6808
0.617	3.68	688	0.6809
0.617	3.68	689	0.6809
0.5914	3.69	690	0.6809
0.5914	3.7	691	0.6809
0.5914	3.7	692	0.6809
0.5914	3.71	693	0.6809
0.5914	3.71	694	0.6809
0.5914	3.72	695	0.6809
0.5914	3.72	696	0.6810
0.5914	3.73	697	0.6810
0.5914	3.73	698	0.6810
0.5914	3.74	699	0.6810
0.6496	3.74	700	0.6810
0.6496	3.75	701	0.6810
0.6496	3.75	702	0.6810
0.6496	3.76	703	0.6810
0.6496	3.76	704	0.6811
0.6496	3.77	705	0.6811
0.6496	3.78	706	0.6811
0.6496	3.78	707	0.6811
0.6496	3.79	708	0.6811
0.6496	3.79	709	0.6811
0.6913	3.8	710	0.6811
0.6913	3.8	711	0.6811
0.6913	3.81	712	0.6811
0.6913	3.81	713	0.6811
0.6913	3.82	714	0.6811
0.6913	3.82	715	0.6811
0.6913	3.83	716	0.6811
0.6913	3.83	717	0.6811
0.6913	3.84	718	0.6811
0.6913	3.84	719	0.6811
0.593	3.85	720	0.6810
0.593	3.86	721	0.6810
0.593	3.86	722	0.6810
0.593	3.87	723	0.6810
0.593	3.87	724	0.6810
0.593	3.88	725	0.6810
0.593	3.88	726	0.6810
0.593	3.89	727	0.6810
0.593	3.89	728	0.6810
0.593	3.9	729	0.6810
0.6338	3.9	730	0.6810
0.6338	3.91	731	0.6810
0.6338	3.91	732	0.6810
0.6338	3.92	733	0.6810
0.6338	3.93	734	0.6810
0.6338	3.93	735	0.6810
0.6338	3.94	736	0.6810
0.6338	3.94	737	0.6810
0.6338	3.95	738	0.6810
0.6338	3.95	739	0.6810
0.6908	3.96	740	0.6810
0.6908	3.96	741	0.6810
0.6908	3.97	742	0.6810
0.6908	3.97	743	0.6810
0.6908	3.98	744	0.6810
0.6908	3.98	745	0.6810
0.6908	3.99	746	0.6810
0.6908	3.99	747	0.6810
0.6908	4.0	748	0.6810

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3