flant5-tuned-15-warmup

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2355

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: 0.0001
• 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
• lr_scheduler_warmup_steps: 41
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
1.9667	0.02	1	1.6464
2.4545	0.04	2	1.6443
2.4361	0.06	3	1.6400
2.1706	0.09	4	1.6340
1.8817	0.11	5	1.6263
1.7807	0.13	6	1.6177
1.948	0.15	7	1.6087
2.105	0.17	8	1.5986
2.3075	0.19	9	1.5886
2.2806	0.21	10	1.5780
1.7889	0.23	11	1.5675
2.0699	0.26	12	1.5571
1.6099	0.28	13	1.5468
1.739	0.3	14	1.5357
1.8916	0.32	15	1.5257
1.709	0.34	16	1.5157
1.6401	0.36	17	1.5061
2.1285	0.38	18	1.4964
1.9514	0.4	19	1.4866
1.8444	0.43	20	1.4766
1.5476	0.45	21	1.4668
1.6058	0.47	22	1.4559
1.4958	0.49	23	1.4449
1.6716	0.51	24	1.4328
1.3041	0.53	25	1.4220
2.3662	0.55	26	1.4107
2.0195	0.57	27	1.3997
1.5151	0.6	28	1.3897
2.0098	0.62	29	1.3796
2.232	0.64	30	1.3703
1.352	0.66	31	1.3615
1.7479	0.68	32	1.3532
1.756	0.7	33	1.3458
1.7509	0.72	34	1.3387
1.888	0.74	35	1.3317
1.5797	0.77	36	1.3256
1.74	0.79	37	1.3201
1.6288	0.81	38	1.3151
1.7669	0.83	39	1.3099
2.101	0.85	40	1.3045
1.322	0.87	41	1.3004
1.2121	0.89	42	1.2976
1.6025	0.91	43	1.2954
1.3643	0.94	44	1.2930
1.6701	0.96	45	1.2917
1.4029	0.98	46	1.2914
2.7487	1.0	47	1.2906
1.3429	1.02	48	1.2902
1.1366	1.04	49	1.2909
1.1554	1.06	50	1.2927
1.7526	1.09	51	1.2928
1.474	1.11	52	1.2910
1.863	1.13	53	1.2876
1.9122	1.15	54	1.2837
1.4084	1.17	55	1.2787
1.7607	1.19	56	1.2731
1.6029	1.21	57	1.2669
1.0863	1.23	58	1.2620
1.4262	1.26	59	1.2576
1.0527	1.28	60	1.2546
1.6006	1.3	61	1.2508
1.6631	1.32	62	1.2468
1.6574	1.34	63	1.2432
1.5513	1.36	64	1.2399
1.5335	1.38	65	1.2368
1.6789	1.4	66	1.2332
1.5144	1.43	67	1.2298
1.3471	1.45	68	1.2276
1.8718	1.47	69	1.2255
1.3126	1.49	70	1.2241
1.5729	1.51	71	1.2229
1.7027	1.53	72	1.2216
1.4672	1.55	73	1.2204
1.5982	1.57	74	1.2193
1.0943	1.6	75	1.2197
1.5396	1.62	76	1.2201
1.7971	1.64	77	1.2200
1.5562	1.66	78	1.2201
1.8446	1.68	79	1.2199
1.4402	1.7	80	1.2189
1.4202	1.72	81	1.2189
1.2645	1.74	82	1.2191
1.7016	1.77	83	1.2192
1.454	1.79	84	1.2198
1.229	1.81	85	1.2212
1.6632	1.83	86	1.2221
1.7068	1.85	87	1.2227
0.9776	1.87	88	1.2246
1.6608	1.89	89	1.2263
1.7359	1.91	90	1.2270
1.2871	1.94	91	1.2275
1.0407	1.96	92	1.2286
1.3798	1.98	93	1.2290
1.0639	2.0	94	1.2296
1.3378	2.02	95	1.2293
1.6735	2.04	96	1.2289
1.5583	2.06	97	1.2281
1.6152	2.09	98	1.2269
1.274	2.11	99	1.2246
1.6458	2.13	100	1.2219
1.0769	2.15	101	1.2204
1.3137	2.17	102	1.2181
1.2746	2.19	103	1.2165
1.3584	2.21	104	1.2153
1.3399	2.23	105	1.2144
1.1962	2.26	106	1.2134
1.4782	2.28	107	1.2118
1.0676	2.3	108	1.2109
1.3653	2.32	109	1.2104
1.4322	2.34	110	1.2092
1.3757	2.36	111	1.2085
0.8468	2.38	112	1.2088
1.4621	2.4	113	1.2084
1.2588	2.43	114	1.2086
1.0934	2.45	115	1.2089
1.1923	2.47	116	1.2100
1.2989	2.49	117	1.2105
1.4685	2.51	118	1.2099
1.5793	2.53	119	1.2094
1.5058	2.55	120	1.2087
1.3849	2.57	121	1.2085
1.7642	2.6	122	1.2074
1.2858	2.62	123	1.2062
1.0106	2.64	124	1.2057
1.5447	2.66	125	1.2048
1.3997	2.68	126	1.2045
1.2507	2.7	127	1.2048
1.0845	2.72	128	1.2050
1.3003	2.74	129	1.2057
1.5281	2.77	130	1.2073
1.0856	2.79	131	1.2091
1.5316	2.81	132	1.2104
1.5002	2.83	133	1.2113
1.2596	2.85	134	1.2119
1.3849	2.87	135	1.2123
1.6906	2.89	136	1.2117
1.5706	2.91	137	1.2100
1.623	2.94	138	1.2073
1.5116	2.96	139	1.2045
1.0376	2.98	140	1.2024
1.7914	3.0	141	1.2000
1.3306	3.02	142	1.1977
1.1926	3.04	143	1.1956
1.3087	3.06	144	1.1938
1.1353	3.09	145	1.1921
1.5161	3.11	146	1.1897
1.1842	3.13	147	1.1876
1.407	3.15	148	1.1856
1.213	3.17	149	1.1842
1.5212	3.19	150	1.1831
1.4898	3.21	151	1.1818
1.4041	3.23	152	1.1806
1.4567	3.26	153	1.1794
1.3061	3.28	154	1.1779
1.4033	3.3	155	1.1768
1.3228	3.32	156	1.1762
1.3397	3.34	157	1.1761
1.0637	3.36	158	1.1762
1.1256	3.38	159	1.1772
1.1232	3.4	160	1.1785
1.2295	3.43	161	1.1797
1.3916	3.45	162	1.1811
1.4738	3.47	163	1.1822
1.2466	3.49	164	1.1831
1.4013	3.51	165	1.1834
1.0512	3.53	166	1.1839
0.9767	3.55	167	1.1846
1.1432	3.57	168	1.1849
1.2935	3.6	169	1.1855
1.2865	3.62	170	1.1859
1.487	3.64	171	1.1859
1.3381	3.66	172	1.1856
1.2626	3.68	173	1.1855
1.2248	3.7	174	1.1850
0.9318	3.72	175	1.1859
1.3223	3.74	176	1.1867
1.3226	3.77	177	1.1880
1.3931	3.79	178	1.1891
1.2752	3.81	179	1.1904
1.047	3.83	180	1.1924
1.1886	3.85	181	1.1944
1.2285	3.87	182	1.1961
0.8821	3.89	183	1.1989
1.1705	3.91	184	1.2014
1.4242	3.94	185	1.2031
1.2853	3.96	186	1.2044
1.3986	3.98	187	1.2044
0.995	4.0	188	1.2040
1.4626	4.02	189	1.2036
1.2084	4.04	190	1.2029
1.2624	4.06	191	1.2020
1.0631	4.09	192	1.2006
1.0948	4.11	193	1.1984
1.1124	4.13	194	1.1961
1.493	4.15	195	1.1931
1.1308	4.17	196	1.1906
0.9889	4.19	197	1.1888
0.9871	4.21	198	1.1880
1.3625	4.23	199	1.1874
1.0979	4.26	200	1.1868
1.1923	4.28	201	1.1867
1.2575	4.3	202	1.1863
1.0115	4.32	203	1.1861
1.2956	4.34	204	1.1857
1.3653	4.36	205	1.1856
0.9581	4.38	206	1.1864
0.9203	4.4	207	1.1876
1.1975	4.43	208	1.1892
1.1205	4.45	209	1.1908
1.0527	4.47	210	1.1924
1.5056	4.49	211	1.1935
1.1822	4.51	212	1.1946
1.4337	4.53	213	1.1948
1.0364	4.55	214	1.1954
1.4977	4.57	215	1.1948
1.5055	4.6	216	1.1932
1.0352	4.62	217	1.1924
1.084	4.64	218	1.1922
1.1441	4.66	219	1.1911
1.4411	4.68	220	1.1894
1.6655	4.7	221	1.1873
1.1853	4.72	222	1.1860
1.3747	4.74	223	1.1841
1.1934	4.77	224	1.1831
1.2477	4.79	225	1.1824
1.3121	4.81	226	1.1817
1.1818	4.83	227	1.1809
0.9407	4.85	228	1.1804
1.303	4.87	229	1.1792
1.0454	4.89	230	1.1779
1.2141	4.91	231	1.1770
1.0324	4.94	232	1.1763
1.4047	4.96	233	1.1754
0.9807	4.98	234	1.1755
1.0778	5.0	235	1.1756
1.2506	5.02	236	1.1762
1.2868	5.04	237	1.1769
1.1988	5.06	238	1.1774
1.3789	5.09	239	1.1774
1.3524	5.11	240	1.1778
1.2539	5.13	241	1.1782
0.9897	5.15	242	1.1789
0.8569	5.17	243	1.1794
1.0817	5.19	244	1.1805
1.0787	5.21	245	1.1814
1.2513	5.23	246	1.1823
0.9568	5.26	247	1.1830
1.4582	5.28	248	1.1833
0.937	5.3	249	1.1840
1.0291	5.32	250	1.1855
1.0047	5.34	251	1.1867
1.2426	5.36	252	1.1879
1.1143	5.38	253	1.1895
0.9608	5.4	254	1.1905
0.8095	5.43	255	1.1909
1.3595	5.45	256	1.1911
1.0627	5.47	257	1.1911
0.9898	5.49	258	1.1909
0.9931	5.51	259	1.1906
1.1374	5.53	260	1.1898
1.3457	5.55	261	1.1885
1.2375	5.57	262	1.1875
1.4788	5.6	263	1.1865
1.2088	5.62	264	1.1857
1.266	5.64	265	1.1847
0.9349	5.66	266	1.1849
0.726	5.68	267	1.1858
1.002	5.7	268	1.1867
1.3502	5.72	269	1.1876
1.0362	5.74	270	1.1886
1.2812	5.77	271	1.1887
0.8987	5.79	272	1.1893
1.044	5.81	273	1.1903
1.0796	5.83	274	1.1909
1.1613	5.85	275	1.1912
0.9256	5.87	276	1.1915
1.0668	5.89	277	1.1916
0.8857	5.91	278	1.1913
1.2915	5.94	279	1.1905
1.1701	5.96	280	1.1897
0.8379	5.98	281	1.1894
0.8857	6.0	282	1.1893
1.0643	6.02	283	1.1892
0.6472	6.04	284	1.1893
0.9508	6.06	285	1.1893
1.2486	6.09	286	1.1895
1.0606	6.11	287	1.1901
1.2126	6.13	288	1.1905
1.0849	6.15	289	1.1911
0.9876	6.17	290	1.1922
1.0195	6.19	291	1.1932
1.1427	6.21	292	1.1937
0.975	6.23	293	1.1942
0.7155	6.26	294	1.1952
1.2893	6.28	295	1.1962
0.7985	6.3	296	1.1974
1.0161	6.32	297	1.1991
0.9194	6.34	298	1.2017
0.9292	6.36	299	1.2041
1.0484	6.38	300	1.2064
1.2873	6.4	301	1.2081
1.0052	6.43	302	1.2100
1.0546	6.45	303	1.2117
1.0157	6.47	304	1.2131
0.9218	6.49	305	1.2142
0.801	6.51	306	1.2155
1.0598	6.53	307	1.2165
0.9959	6.55	308	1.2176
1.087	6.57	309	1.2189
1.4722	6.6	310	1.2192
0.9014	6.62	311	1.2196
1.0947	6.64	312	1.2200
1.0382	6.66	313	1.2198
0.858	6.68	314	1.2192
0.9865	6.7	315	1.2184
1.2978	6.72	316	1.2169
1.0321	6.74	317	1.2157
1.0643	6.77	318	1.2143
1.2922	6.79	319	1.2123
0.9979	6.81	320	1.2108
0.9959	6.83	321	1.2092
0.8715	6.85	322	1.2084
0.9744	6.87	323	1.2079
1.2371	6.89	324	1.2073
1.1729	6.91	325	1.2062
1.3964	6.94	326	1.2044
0.9163	6.96	327	1.2029
1.5975	6.98	328	1.2010
1.0804	7.0	329	1.1995
1.0323	7.02	330	1.1991
0.9406	7.04	331	1.1989
1.0921	7.06	332	1.1985
1.0013	7.09	333	1.1985
0.9852	7.11	334	1.1986
1.1076	7.13	335	1.1984
0.9244	7.15	336	1.1986
1.1296	7.17	337	1.1988
1.0143	7.19	338	1.1990
1.1623	7.21	339	1.1994
0.9863	7.23	340	1.2004
1.1909	7.26	341	1.2011
0.6969	7.28	342	1.2022
1.2884	7.3	343	1.2028
1.0522	7.32	344	1.2033
1.0197	7.34	345	1.2038
1.0357	7.36	346	1.2047
1.3089	7.38	347	1.2053
0.8648	7.4	348	1.2064
1.2338	7.43	349	1.2067
1.3109	7.45	350	1.2066
0.9705	7.47	351	1.2067
0.9489	7.49	352	1.2068
0.8943	7.51	353	1.2064
0.8248	7.53	354	1.2062
1.0269	7.55	355	1.2058
1.0779	7.57	356	1.2052
1.0896	7.6	357	1.2048
0.8612	7.62	358	1.2042
1.1585	7.64	359	1.2039
1.2301	7.66	360	1.2029
1.0214	7.68	361	1.2020
0.8139	7.7	362	1.2011
0.7917	7.72	363	1.2007
1.1115	7.74	364	1.2003
0.6928	7.77	365	1.2002
1.102	7.79	366	1.1998
1.0183	7.81	367	1.2000
0.8946	7.83	368	1.2000
0.8605	7.85	369	1.2006
1.0517	7.87	370	1.2007
1.0663	7.89	371	1.2006
1.0523	7.91	372	1.2010
1.2151	7.94	373	1.2013
1.0897	7.96	374	1.2013
1.1518	7.98	375	1.2013
1.3891	8.0	376	1.2017
1.3617	8.02	377	1.2015
1.0901	8.04	378	1.2018
1.5281	8.06	379	1.2015
0.7301	8.09	380	1.2013
0.95	8.11	381	1.2011
1.0097	8.13	382	1.2008
1.0254	8.15	383	1.2004
1.0425	8.17	384	1.2000
0.7891	8.19	385	1.2006
0.5937	8.21	386	1.2016
1.2323	8.23	387	1.2026
0.7101	8.26	388	1.2038
0.9621	8.28	389	1.2046
1.0163	8.3	390	1.2052
0.9164	8.32	391	1.2057
1.0047	8.34	392	1.2056
1.206	8.36	393	1.2052
0.8669	8.38	394	1.2052
1.3794	8.4	395	1.2049
0.9991	8.43	396	1.2047
0.9352	8.45	397	1.2047
0.7621	8.47	398	1.2048
0.9343	8.49	399	1.2055
1.004	8.51	400	1.2058
0.8509	8.53	401	1.2063
1.038	8.55	402	1.2067
0.8357	8.57	403	1.2073
1.1329	8.6	404	1.2075
0.6185	8.62	405	1.2082
1.1308	8.64	406	1.2084
1.2186	8.66	407	1.2080
0.9866	8.68	408	1.2077
1.1335	8.7	409	1.2079
0.6568	8.72	410	1.2089
1.0745	8.74	411	1.2098
1.2385	8.77	412	1.2100
0.9554	8.79	413	1.2109
0.7232	8.81	414	1.2117
1.0016	8.83	415	1.2118
1.0813	8.85	416	1.2117
0.9908	8.87	417	1.2110
1.2274	8.89	418	1.2101
0.9004	8.91	419	1.2092
0.8995	8.94	420	1.2082
0.6937	8.96	421	1.2073
1.0519	8.98	422	1.2062
1.2531	9.0	423	1.2053
0.5019	9.02	424	1.2054
0.9939	9.04	425	1.2053
0.9925	9.06	426	1.2054
0.8055	9.09	427	1.2055
0.8666	9.11	428	1.2060
0.9951	9.13	429	1.2064
0.9366	9.15	430	1.2069
1.1513	9.17	431	1.2077
0.864	9.19	432	1.2086
1.0111	9.21	433	1.2089
0.8156	9.23	434	1.2095
0.6794	9.26	435	1.2104
1.024	9.28	436	1.2109
1.1593	9.3	437	1.2109
1.2502	9.32	438	1.2105
0.8281	9.34	439	1.2101
0.9008	9.36	440	1.2101
0.7181	9.38	441	1.2105
0.7282	9.4	442	1.2109
0.8809	9.43	443	1.2109
1.0362	9.45	444	1.2112
0.9121	9.47	445	1.2112
1.1075	9.49	446	1.2112
0.906	9.51	447	1.2114
1.0327	9.53	448	1.2119
1.2168	9.55	449	1.2120
0.6352	9.57	450	1.2126
0.8875	9.6	451	1.2135
0.8587	9.62	452	1.2142
0.9561	9.64	453	1.2150
1.0226	9.66	454	1.2158
1.3241	9.68	455	1.2163
1.0117	9.7	456	1.2171
0.7255	9.72	457	1.2177
1.1023	9.74	458	1.2180
1.2677	9.77	459	1.2178
0.8539	9.79	460	1.2173
0.9335	9.81	461	1.2166
0.7214	9.83	462	1.2160
1.0556	9.85	463	1.2153
1.0694	9.87	464	1.2140
1.1814	9.89	465	1.2127
1.1573	9.91	466	1.2115
0.9729	9.94	467	1.2103
0.8609	9.96	468	1.2096
0.9811	9.98	469	1.2092
0.8868	10.0	470	1.2086
0.8651	10.02	471	1.2088
0.8995	10.04	472	1.2088
1.1421	10.06	473	1.2093
0.944	10.09	474	1.2101
0.9218	10.11	475	1.2106
0.9569	10.13	476	1.2116
0.8649	10.15	477	1.2125
1.0783	10.17	478	1.2133
1.0356	10.19	479	1.2139
0.8099	10.21	480	1.2152
0.5889	10.23	481	1.2166
0.8428	10.26	482	1.2180
0.8419	10.28	483	1.2198
0.7744	10.3	484	1.2214
1.1157	10.32	485	1.2221
0.9793	10.34	486	1.2227
1.0079	10.36	487	1.2231
0.8489	10.38	488	1.2234
1.0579	10.4	489	1.2235
0.6212	10.43	490	1.2239
0.9997	10.45	491	1.2239
0.9023	10.47	492	1.2240
0.7276	10.49	493	1.2246
1.0537	10.51	494	1.2249
0.8226	10.53	495	1.2254
1.3604	10.55	496	1.2257
0.9817	10.57	497	1.2261
0.8109	10.6	498	1.2263
0.8237	10.62	499	1.2266
0.8102	10.64	500	1.2268
1.1175	10.66	501	1.2269
0.9518	10.68	502	1.2270
0.8294	10.7	503	1.2268
0.6542	10.72	504	1.2270
1.15	10.74	505	1.2268
0.847	10.77	506	1.2270
1.0546	10.79	507	1.2273
0.9229	10.81	508	1.2271
0.8002	10.83	509	1.2272
0.8821	10.85	510	1.2276
1.226	10.87	511	1.2273
0.703	10.89	512	1.2273
0.8306	10.91	513	1.2272
1.3012	10.94	514	1.2270
1.1099	10.96	515	1.2267
0.8719	10.98	516	1.2266
0.8791	11.0	517	1.2264
1.0088	11.02	518	1.2262
0.9005	11.04	519	1.2262
0.9958	11.06	520	1.2262
0.6769	11.09	521	1.2263
0.8875	11.11	522	1.2265
1.0043	11.13	523	1.2265
0.8179	11.15	524	1.2266
1.0228	11.17	525	1.2267
1.0861	11.19	526	1.2268
1.0958	11.21	527	1.2269
0.8243	11.23	528	1.2271
0.7919	11.26	529	1.2276
0.8028	11.28	530	1.2282
0.868	11.3	531	1.2289
1.0766	11.32	532	1.2295
0.9489	11.34	533	1.2296
1.2521	11.36	534	1.2293
0.8151	11.38	535	1.2292
0.8777	11.4	536	1.2293
0.9093	11.43	537	1.2294
0.8013	11.45	538	1.2295
0.8986	11.47	539	1.2297
0.8591	11.49	540	1.2299
0.9412	11.51	541	1.2298
1.0771	11.53	542	1.2297
0.9792	11.55	543	1.2293
0.8906	11.57	544	1.2289
0.9887	11.6	545	1.2284
1.0249	11.62	546	1.2276
1.0449	11.64	547	1.2269
1.0692	11.66	548	1.2262
1.1385	11.68	549	1.2256
0.9511	11.7	550	1.2250
0.9088	11.72	551	1.2244
0.5108	11.74	552	1.2242
0.8387	11.77	553	1.2243
0.5605	11.79	554	1.2247
0.8029	11.81	555	1.2250
0.9064	11.83	556	1.2252
1.0701	11.85	557	1.2255
0.7642	11.87	558	1.2260
0.9011	11.89	559	1.2265
0.6675	11.91	560	1.2271
0.7199	11.94	561	1.2278
0.8222	11.96	562	1.2282
1.2255	11.98	563	1.2286
0.6935	12.0	564	1.2292
0.9331	12.02	565	1.2296
0.9065	12.04	566	1.2297
1.2259	12.06	567	1.2293
0.7701	12.09	568	1.2289
0.785	12.11	569	1.2286
0.7013	12.13	570	1.2287
0.7481	12.15	571	1.2288
1.1147	12.17	572	1.2289
0.8022	12.19	573	1.2291
1.152	12.21	574	1.2292
0.7772	12.23	575	1.2293
1.1077	12.26	576	1.2293
0.9741	12.28	577	1.2293
0.6635	12.3	578	1.2296
0.7384	12.32	579	1.2299
0.7896	12.34	580	1.2301
0.8486	12.36	581	1.2303
0.7299	12.38	582	1.2306
1.2021	12.4	583	1.2307
0.8791	12.43	584	1.2309
0.9863	12.45	585	1.2311
0.5738	12.47	586	1.2314
0.8494	12.49	587	1.2318
0.8436	12.51	588	1.2320
0.8499	12.53	589	1.2322
0.8047	12.55	590	1.2323
0.6874	12.57	591	1.2324
0.9029	12.6	592	1.2326
1.0359	12.62	593	1.2325
0.8538	12.64	594	1.2323
0.9876	12.66	595	1.2322
0.8192	12.68	596	1.2321
1.1117	12.7	597	1.2321
1.0893	12.72	598	1.2323
1.0301	12.74	599	1.2323
0.8162	12.77	600	1.2325
0.8453	12.79	601	1.2326
0.4536	12.81	602	1.2330
0.9448	12.83	603	1.2331
1.1688	12.85	604	1.2331
0.802	12.87	605	1.2330
0.9937	12.89	606	1.2332
0.969	12.91	607	1.2330
0.817	12.94	608	1.2328
0.9496	12.96	609	1.2328
0.9989	12.98	610	1.2325
0.8977	13.0	611	1.2323
0.6483	13.02	612	1.2322
0.9165	13.04	613	1.2323
0.7105	13.06	614	1.2327
0.7978	13.09	615	1.2330
0.6971	13.11	616	1.2335
1.0446	13.13	617	1.2338
0.6923	13.15	618	1.2341
0.8159	13.17	619	1.2344
0.9534	13.19	620	1.2347
0.9893	13.21	621	1.2352
1.2735	13.23	622	1.2354
0.6668	13.26	623	1.2358
0.745	13.28	624	1.2361
0.6876	13.3	625	1.2366
0.6819	13.32	626	1.2369
1.0197	13.34	627	1.2370
0.5219	13.36	628	1.2373
0.7793	13.38	629	1.2376
0.8771	13.4	630	1.2378
0.779	13.43	631	1.2380
0.9322	13.45	632	1.2382
0.8594	13.47	633	1.2384
1.0583	13.49	634	1.2384
0.7861	13.51	635	1.2384
1.0326	13.53	636	1.2382
0.8159	13.55	637	1.2380
0.9854	13.57	638	1.2378
0.9686	13.6	639	1.2376
0.9824	13.62	640	1.2375
0.8299	13.64	641	1.2374
0.9476	13.66	642	1.2374
0.9941	13.68	643	1.2372
1.0541	13.7	644	1.2370
0.8441	13.72	645	1.2369
0.9255	13.74	646	1.2367
1.0689	13.77	647	1.2365
0.9323	13.79	648	1.2362
0.7558	13.81	649	1.2361
1.0473	13.83	650	1.2360
1.0349	13.85	651	1.2357
0.961	13.87	652	1.2355
0.9356	13.89	653	1.2353
0.8867	13.91	654	1.2353
0.5838	13.94	655	1.2353
0.9355	13.96	656	1.2353
1.015	13.98	657	1.2354
0.8472	14.0	658	1.2355
0.8122	14.02	659	1.2355
0.989	14.04	660	1.2355
0.6454	14.06	661	1.2356
1.0597	14.09	662	1.2356
1.0055	14.11	663	1.2357
0.6391	14.13	664	1.2356
1.0323	14.15	665	1.2355
0.891	14.17	666	1.2354
1.0657	14.19	667	1.2353
1.0912	14.21	668	1.2351
0.8337	14.23	669	1.2349
0.7615	14.26	670	1.2348
0.7749	14.28	671	1.2347
0.7914	14.3	672	1.2346
1.0347	14.32	673	1.2345
1.0402	14.34	674	1.2345
0.6305	14.36	675	1.2344
0.6122	14.38	676	1.2345
0.8261	14.4	677	1.2345
1.1074	14.43	678	1.2345
0.8629	14.45	679	1.2345
0.7628	14.47	680	1.2344
1.1052	14.49	681	1.2345
0.9245	14.51	682	1.2345
0.7653	14.53	683	1.2346
0.8255	14.55	684	1.2347
1.0361	14.57	685	1.2348
1.0867	14.6	686	1.2349
1.1457	14.62	687	1.2350
0.9392	14.64	688	1.2350
0.7818	14.66	689	1.2351
0.8908	14.68	690	1.2351
0.6478	14.7	691	1.2352
0.8556	14.72	692	1.2352
0.8901	14.74	693	1.2353
0.7234	14.77	694	1.2354
1.1695	14.79	695	1.2354
0.833	14.81	696	1.2354
0.596	14.83	697	1.2355
0.9776	14.85	698	1.2355
0.981	14.87	699	1.2355
0.8301	14.89	700	1.2355
0.6443	14.91	701	1.2355
0.8316	14.94	702	1.2355
1.0333	14.96	703	1.2355
0.9073	14.98	704	1.2355
0.9073	15.0	705	1.2355

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2