Training Loss	Epoch	Step	Validation Loss
1.9667	0.02	1	1.6464
2.4545	0.04	2	1.6328
2.4285	0.06	3	1.6089
2.1423	0.09	4	1.5831
1.8409	0.11	5	1.5580
1.6974	0.13	6	1.5369
1.8883	0.15	7	1.5176
2.0006	0.17	8	1.4977
2.1835	0.19	9	1.4791
2.1405	0.21	10	1.4608
1.64	0.23	11	1.4414
1.9192	0.26	12	1.4238
1.4762	0.28	13	1.4078
1.5581	0.3	14	1.3918
1.7605	0.32	15	1.3788
1.557	0.34	16	1.3676
1.5071	0.36	17	1.3585
1.9494	0.38	18	1.3504
1.8308	0.4	19	1.3432
1.7127	0.43	20	1.3368
1.3814	0.45	21	1.3313
1.4301	0.47	22	1.3260
1.3969	0.49	23	1.3212
1.5349	0.51	24	1.3164
1.2284	0.53	25	1.3115
2.2728	0.55	26	1.3061
1.9144	0.57	27	1.3005
1.4339	0.6	28	1.2957
1.9083	0.62	29	1.2904
2.164	0.64	30	1.2856
1.2391	0.66	31	1.2812
1.5761	0.68	32	1.2774
1.69	0.7	33	1.2740
1.6597	0.72	34	1.2707
1.7752	0.74	35	1.2676
1.5281	0.77	36	1.2651
1.6833	0.79	37	1.2629
1.591	0.81	38	1.2606
1.6555	0.83	39	1.2579
2.0004	0.85	40	1.2552
1.2845	0.87	41	1.2534
1.139	0.89	42	1.2524
1.5526	0.91	43	1.2518
1.3037	0.94	44	1.2509
1.6106	0.96	45	1.2507
1.3613	0.98	46	1.2508
2.6988	1.0	47	1.2505
1.2909	1.02	48	1.2506
1.0862	1.04	49	1.2516
1.1204	1.06	50	1.2535
1.6266	1.09	51	1.2545
1.4118	1.11	52	1.2541
1.7869	1.13	53	1.2527
1.8297	1.15	54	1.2510
1.3467	1.17	55	1.2483
1.6901	1.19	56	1.2449
1.5308	1.21	57	1.2411
1.0475	1.23	58	1.2382
1.3635	1.26	59	1.2352
1.0099	1.28	60	1.2335
1.5154	1.3	61	1.2309
1.6367	1.32	62	1.2281
1.613	1.34	63	1.2255
1.4852	1.36	64	1.2231
1.5181	1.38	65	1.2206
1.6653	1.4	66	1.2177
1.4544	1.43	67	1.2148
1.2966	1.45	68	1.2131
1.8326	1.47	69	1.2112
1.2731	1.49	70	1.2099
1.5005	1.51	71	1.2087
1.6507	1.53	72	1.2077
1.4095	1.55	73	1.2068
1.5355	1.57	74	1.2059
1.0448	1.6	75	1.2064
1.5037	1.62	76	1.2068
1.7362	1.64	77	1.2068
1.4892	1.66	78	1.2072
1.7818	1.68	79	1.2071
1.4143	1.7	80	1.2065
1.4	1.72	81	1.2065
1.225	1.74	82	1.2065
1.6821	1.77	83	1.2063
1.4214	1.79	84	1.2065
1.2094	1.81	85	1.2074
1.6202	1.83	86	1.2077
1.6654	1.85	87	1.2083
0.9378	1.87	88	1.2102
1.5872	1.89	89	1.2121
1.7262	1.91	90	1.2131
1.2392	1.94	91	1.2140
0.9844	1.96	92	1.2155
1.3346	1.98	93	1.2164
1.0203	2.0	94	1.2176
1.3007	2.02	95	1.2182
1.6318	2.04	96	1.2185
1.5082	2.06	97	1.2185
1.5797	2.09	98	1.2179
1.2403	2.11	99	1.2164
1.5859	2.13	100	1.2143
1.0519	2.15	101	1.2134
1.2823	2.17	102	1.2116
1.2484	2.19	103	1.2105
1.3197	2.21	104	1.2100
1.3335	2.23	105	1.2095
1.1574	2.26	106	1.2090
1.4573	2.28	107	1.2079
1.0433	2.3	108	1.2072
1.3362	2.32	109	1.2068
1.403	2.34	110	1.2056
1.3345	2.36	111	1.2049
0.819	2.38	112	1.2050
1.4289	2.4	113	1.2049
1.2274	2.43	114	1.2051
1.0653	2.45	115	1.2053
1.1851	2.47	116	1.2062
1.2725	2.49	117	1.2065
1.4383	2.51	118	1.2060
1.5551	2.53	119	1.2055
1.4857	2.55	120	1.2047
1.3742	2.57	121	1.2042
1.7207	2.6	122	1.2032
1.2508	2.62	123	1.2022
0.9982	2.64	124	1.2018
1.4797	2.66	125	1.2012
1.363	2.68	126	1.2009
1.2205	2.7	127	1.2012
1.0644	2.72	128	1.2016
1.246	2.74	129	1.2023
1.511	2.77	130	1.2038
1.0708	2.79	131	1.2055
1.5127	2.81	132	1.2067
1.4696	2.83	133	1.2078
1.4078	2.85	134	1.2086
1.3518	2.87	135	1.2091
1.6338	2.89	136	1.2088
1.5519	2.91	137	1.2073
1.5849	2.94	138	1.2047
1.4904	2.96	139	1.2022
1.0131	2.98	140	1.2004
1.7739	3.0	141	1.1981
1.3103	3.02	142	1.1961
1.1845	3.04	143	1.1942
1.2925	3.06	144	1.1926
1.1181	3.09	145	1.1911
1.4873	3.11	146	1.1893
1.1669	3.13	147	1.1877
1.384	3.15	148	1.1861
1.1951	3.17	149	1.1850
1.5083	3.19	150	1.1842
1.4537	3.21	151	1.1831
1.3802	3.23	152	1.1819
1.443	3.26	153	1.1807
1.2788	3.28	154	1.1790
1.3796	3.3	155	1.1779
1.3123	3.32	156	1.1772
1.3024	3.34	157	1.1769
1.0419	3.36	158	1.1769
1.1423	3.38	159	1.1777
1.0954	3.4	160	1.1787
1.2069	3.43	161	1.1798
1.3704	3.45	162	1.1810
1.4654	3.47	163	1.1817
1.223	3.49	164	1.1822
1.3811	3.51	165	1.1823
1.027	3.53	166	1.1826
0.9523	3.55	167	1.1831
1.1546	3.57	168	1.1832
1.2748	3.6	169	1.1835
1.2699	3.62	170	1.1836
1.4697	3.64	171	1.1834
1.3501	3.66	172	1.1830
1.2668	3.68	173	1.1827
1.2121	3.7	174	1.1821
0.8967	3.72	175	1.1826
1.3126	3.74	176	1.1835
1.2997	3.77	177	1.1846
1.3666	3.79	178	1.1856
1.2517	3.81	179	1.1867
1.022	3.83	180	1.1885
1.1694	3.85	181	1.1905
1.1843	3.87	182	1.1923
0.8612	3.89	183	1.1951
1.1394	3.91	184	1.1976
1.387	3.94	185	1.1993
1.2614	3.96	186	1.2007
1.3705	3.98	187	1.2009
1.0086	4.0	188	1.2009
1.4405	4.02	189	1.2007
1.2031	4.04	190	1.2003
1.2633	4.06	191	1.1997
1.0525	4.09	192	1.1988
1.0734	4.11	193	1.1971
1.1034	4.13	194	1.1953
1.4865	4.15	195	1.1929
1.0999	4.17	196	1.1907
0.9867	4.19	197	1.1893
0.9741	4.21	198	1.1885
1.3371	4.23	199	1.1880
1.0978	4.26	200	1.1875
1.1863	4.28	201	1.1873
1.2346	4.3	202	1.1869
1.007	4.32	203	1.1865
1.2739	4.34	204	1.1854
1.3803	4.36	205	1.1845
0.9438	4.38	206	1.1847
0.9082	4.4	207	1.1853
1.2066	4.43	208	1.1862
1.1002	4.45	209	1.1869
1.0443	4.47	210	1.1881
1.5107	4.49	211	1.1889
1.1524	4.51	212	1.1898
1.4075	4.53	213	1.1901
1.0296	4.55	214	1.1909
1.4881	4.57	215	1.1906
1.4919	4.6	216	1.1893
1.0295	4.62	217	1.1890
1.0891	4.64	218	1.1891
1.1395	4.66	219	1.1884
1.4347	4.68	220	1.1872
1.6514	4.7	221	1.1856
1.1608	4.72	222	1.1847
1.3473	4.74	223	1.1833
1.1785	4.77	224	1.1827
1.2321	4.79	225	1.1824
1.2876	4.81	226	1.1820
1.1757	4.83	227	1.1814
0.9282	4.85	228	1.1811
1.2784	4.87	229	1.1803
1.0302	4.89	230	1.1792
1.204	4.91	231	1.1784
1.0326	4.94	232	1.1778
1.3914	4.96	233	1.1770
0.9732	4.98	234	1.1770
1.0765	5.0	235	1.1771
1.2503	5.02	236	1.1776
1.2836	5.04	237	1.1782
1.1844	5.06	238	1.1785
1.3674	5.09	239	1.1785
1.3149	5.11	240	1.1789
1.2317	5.13	241	1.1792
0.9829	5.15	242	1.1799
0.8441	5.17	243	1.1802
1.0655	5.19	244	1.1810
1.0836	5.21	245	1.1817
1.2297	5.23	246	1.1823
0.9449	5.26	247	1.1828
1.4458	5.28	248	1.1829
0.9312	5.3	249	1.1833
1.0147	5.32	250	1.1844
1.0166	5.34	251	1.1853
1.2193	5.36	252	1.1863
1.1028	5.38	253	1.1876
0.9643	5.4	254	1.1883
0.7789	5.43	255	1.1887
1.3363	5.45	256	1.1889
1.0518	5.47	257	1.1890
0.984	5.49	258	1.1894
0.9891	5.51	259	1.1893
1.1256	5.53	260	1.1887
1.3248	5.55	261	1.1878
1.2256	5.57	262	1.1872
1.4624	5.6	263	1.1863
1.1927	5.62	264	1.1859
1.2636	5.64	265	1.1852
0.9282	5.66	266	1.1852
0.7331	5.68	267	1.1860
0.9813	5.7	268	1.1867
1.3365	5.72	269	1.1876
1.014	5.74	270	1.1885
1.2665	5.77	271	1.1885
0.9059	5.79	272	1.1890
1.0328	5.81	273	1.1899
1.0665	5.83	274	1.1905
1.1604	5.85	275	1.1909
0.9059	5.87	276	1.1913
1.061	5.89	277	1.1915
0.8671	5.91	278	1.1913
1.3143	5.94	279	1.1906
1.1451	5.96	280	1.1900
0.8383	5.98	281	1.1897
0.8921	6.0	282	1.1896
1.0486	6.02	283	1.1896
0.6538	6.04	284	1.1898
0.9361	6.06	285	1.1899
1.2392	6.09	286	1.1902
1.0409	6.11	287	1.1910
1.2406	6.13	288	1.1914
1.0792	6.15	289	1.1921
0.9954	6.17	290	1.1932
1.0286	6.19	291	1.1941
1.1392	6.21	292	1.1946
0.9699	6.23	293	1.1950
0.7124	6.26	294	1.1959
1.2828	6.28	295	1.1968
0.8169	6.3	296	1.1977
1.001	6.32	297	1.1992
0.8961	6.34	298	1.2015
0.9216	6.36	299	1.2035
1.0244	6.38	300	1.2055
1.272	6.4	301	1.2069
1.005	6.43	302	1.2084
1.0438	6.45	303	1.2099
1.0185	6.47	304	1.2111
0.8969	6.49	305	1.2120
0.802	6.51	306	1.2132
1.0453	6.53	307	1.2141
1.0051	6.55	308	1.2151
1.0798	6.57	309	1.2164
1.4647	6.6	310	1.2168
0.9142	6.62	311	1.2169
1.092	6.64	312	1.2171
1.0251	6.66	313	1.2167
0.8519	6.68	314	1.2161
0.9924	6.7	315	1.2151
1.2976	6.72	316	1.2136
1.0268	6.74	317	1.2123
1.0534	6.77	318	1.2108
1.2857	6.79	319	1.2088
0.9892	6.81	320	1.2072
0.9789	6.83	321	1.2056
0.8675	6.85	322	1.2048
0.9798	6.87	323	1.2042
1.2267	6.89	324	1.2038
1.1641	6.91	325	1.2029
1.3769	6.94	326	1.2014
0.9066	6.96	327	1.2000
1.598	6.98	328	1.1983
1.0333	7.0	329	1.1970
1.016	7.02	330	1.1967
0.9458	7.04	331	1.1967
1.118	7.06	332	1.1964
1.0069	7.09	333	1.1964
0.984	7.11	334	1.1965
1.1063	7.13	335	1.1964
0.9186	7.15	336	1.1965
1.1328	7.17	337	1.1968
1.0281	7.19	338	1.1970
1.1415	7.21	339	1.1973
0.9868	7.23	340	1.1981
1.1936	7.26	341	1.1988
0.6864	7.28	342	1.1997
1.2851	7.3	343	1.2003
1.065	7.32	344	1.2008
1.0244	7.34	345	1.2012
1.0387	7.36	346	1.2022
1.2904	7.38	347	1.2029
0.8598	7.4	348	1.2041
1.2277	7.43	349	1.2046
1.3071	7.45	350	1.2047
0.984	7.47	351	1.2049
0.9392	7.49	352	1.2051
0.8886	7.51	353	1.2048
0.833	7.53	354	1.2047
1.0211	7.55	355	1.2046
1.0704	7.57	356	1.2043
1.0893	7.6	357	1.2042
0.8576	7.62	358	1.2039
1.1494	7.64	359	1.2037
1.2198	7.66	360	1.2029
1.0204	7.68	361	1.2021
0.8117	7.7	362	1.2013
0.7845	7.72	363	1.2009
1.1076	7.74	364	1.2005
0.6961	7.77	365	1.2003
1.1127	7.79	366	1.1998
1.009	7.81	367	1.1999
0.8846	7.83	368	1.1998
0.865	7.85	369	1.2003
1.0436	7.87	370	1.2003
1.0648	7.89	371	1.2003
1.0411	7.91	372	1.2007
1.1948	7.94	373	1.2008
1.0773	7.96	374	1.2007
1.1474	7.98	375	1.2006
1.3795	8.0	376	1.2008
1.3892	8.02	377	1.2005
1.0678	8.04	378	1.2006
1.53	8.06	379	1.2002
0.7286	8.09	380	1.1998
0.9545	8.11	381	1.1995
1.0366	8.13	382	1.1991
1.0289	8.15	383	1.1985
1.04	8.17	384	1.1980
0.7763	8.19	385	1.1985
0.597	8.21	386	1.1991
1.2358	8.23	387	1.1999
0.7149	8.26	388	1.2008
0.9546	8.28	389	1.2014
1.0085	8.3	390	1.2019
0.9048	8.32	391	1.2023
0.9976	8.34	392	1.2024
1.2209	8.36	393	1.2022
0.8731	8.38	394	1.2023
1.3846	8.4	395	1.2021
0.9881	8.43	396	1.2021
0.9374	8.45	397	1.2022
0.7572	8.47	398	1.2024
0.9265	8.49	399	1.2032
1.0008	8.51	400	1.2035
0.8435	8.53	401	1.2040
1.033	8.55	402	1.2044
0.8181	8.57	403	1.2050
1.1232	8.6	404	1.2053
0.6155	8.62	405	1.2060
1.13	8.64	406	1.2065
1.2168	8.66	407	1.2064
0.9764	8.68	408	1.2063
1.1251	8.7	409	1.2067
0.6559	8.72	410	1.2079
1.0554	8.74	411	1.2089
1.2301	8.77	412	1.2093
0.9597	8.79	413	1.2103
0.7174	8.81	414	1.2112
1.0083	8.83	415	1.2117
1.0968	8.85	416	1.2119
0.9911	8.87	417	1.2116
1.2282	8.89	418	1.2110
0.9057	8.91	419	1.2102
0.8975	8.94	420	1.2093
0.7017	8.96	421	1.2085
1.0442	8.98	422	1.2075
1.2632	9.0	423	1.2066
0.4969	9.02	424	1.2066
0.9973	9.04	425	1.2065
0.9969	9.06	426	1.2064
0.843	9.09	427	1.2062
0.8619	9.11	428	1.2065
0.9959	9.13	429	1.2067
0.9466	9.15	430	1.2072
1.1408	9.17	431	1.2078
0.8565	9.19	432	1.2086
1.0228	9.21	433	1.2089
0.8104	9.23	434	1.2094
0.6723	9.26	435	1.2102
1.0232	9.28	436	1.2105
1.1588	9.3	437	1.2104
1.2531	9.32	438	1.2099
0.8413	9.34	439	1.2093
0.8939	9.36	440	1.2091
0.733	9.38	441	1.2092
0.744	9.4	442	1.2095
0.8857	9.43	443	1.2094
1.0393	9.45	444	1.2095
0.913	9.47	445	1.2093
1.1155	9.49	446	1.2091
0.9154	9.51	447	1.2092
1.036	9.53	448	1.2094
1.2105	9.55	449	1.2095
0.6298	9.57	450	1.2100
0.8795	9.6	451	1.2108
0.8513	9.62	452	1.2114
0.9633	9.64	453	1.2122
1.02	9.66	454	1.2129
1.3356	9.68	455	1.2134
1.0097	9.7	456	1.2141
0.73	9.72	457	1.2148
1.0924	9.74	458	1.2151
1.2789	9.77	459	1.2152
0.8527	9.79	460	1.2151
0.9166	9.81	461	1.2150
0.7188	9.83	462	1.2147
1.0428	9.85	463	1.2144
1.0955	9.87	464	1.2134
1.1744	9.89	465	1.2124
1.1324	9.91	466	1.2115
0.9818	9.94	467	1.2105
0.8571	9.96	468	1.2100
0.964	9.98	469	1.2098
0.8998	10.0	470	1.2095
0.8614	10.02	471	1.2097
0.9073	10.04	472	1.2098
1.1624	10.06	473	1.2103
0.9406	10.09	474	1.2111
0.9077	10.11	475	1.2116
0.9633	10.13	476	1.2124
0.8509	10.15	477	1.2132
1.0841	10.17	478	1.2137
1.024	10.19	479	1.2143
0.8115	10.21	480	1.2154
0.602	10.23	481	1.2167
0.8554	10.26	482	1.2179
0.8389	10.28	483	1.2194
0.754	10.3	484	1.2210
1.1135	10.32	485	1.2219
0.9837	10.34	486	1.2224
1.0271	10.36	487	1.2227
0.8573	10.38	488	1.2228
1.0546	10.4	489	1.2227
0.6255	10.43	490	1.2230
0.9938	10.45	491	1.2227
0.8872	10.47	492	1.2227
0.735	10.49	493	1.2231
1.0497	10.51	494	1.2232
0.8326	10.53	495	1.2235
1.355	10.55	496	1.2238
0.9891	10.57	497	1.2240
0.8033	10.6	498	1.2241
0.8182	10.62	499	1.2243
0.8101	10.64	500	1.2244
1.1171	10.66	501	1.2244
0.959	10.68	502	1.2244
0.8329	10.7	503	1.2242
0.6569	10.72	504	1.2243
1.1443	10.74	505	1.2242
0.8434	10.77	506	1.2244
1.0466	10.79	507	1.2246
0.9287	10.81	508	1.2244
0.8067	10.83	509	1.2245
0.8815	10.85	510	1.2249
1.2351	10.87	511	1.2246
0.7042	10.89	512	1.2246
0.8259	10.91	513	1.2246
1.3063	10.94	514	1.2245
1.1074	10.96	515	1.2243
0.8808	10.98	516	1.2242
0.8679	11.0	517	1.2241
1.0254	11.02	518	1.2240
0.9236	11.04	519	1.2240
1.011	11.06	520	1.2241
0.6683	11.09	521	1.2242
0.8837	11.11	522	1.2244
1.013	11.13	523	1.2245
0.8163	11.15	524	1.2247
1.0104	11.17	525	1.2248
1.0783	11.19	526	1.2249
1.0922	11.21	527	1.2251
0.8259	11.23	528	1.2253
0.7912	11.26	529	1.2258
0.8184	11.28	530	1.2263
0.8809	11.3	531	1.2270
1.0698	11.32	532	1.2277
0.9594	11.34	533	1.2278
1.2471	11.36	534	1.2276
0.8184	11.38	535	1.2276
0.8824	11.4	536	1.2277
0.9076	11.43	537	1.2279
0.806	11.45	538	1.2281
0.9146	11.47	539	1.2283
0.8715	11.49	540	1.2285
0.9517	11.51	541	1.2286
1.0729	11.53	542	1.2286
0.9916	11.55	543	1.2283
0.9089	11.57	544	1.2281
0.9878	11.6	545	1.2276
1.0224	11.62	546	1.2268
1.0531	11.64	547	1.2262
1.067	11.66	548	1.2252
1.1402	11.68	549	1.2244
0.9552	11.7	550	1.2237
0.913	11.72	551	1.2231
0.5152	11.74	552	1.2228
0.8412	11.77	553	1.2227
0.5697	11.79	554	1.2229
0.8068	11.81	555	1.2230
0.9142	11.83	556	1.2231
1.0595	11.85	557	1.2232
0.77	11.87	558	1.2237
0.8781	11.89	559	1.2241
0.6798	11.91	560	1.2245
0.7254	11.94	561	1.2252
0.8196	11.96	562	1.2257
1.2182	11.98	563	1.2261
0.6839	12.0	564	1.2267
0.9614	12.02	565	1.2270
0.9045	12.04	566	1.2270
1.2186	12.06	567	1.2267
0.7714	12.09	568	1.2265
0.7868	12.11	569	1.2263
0.6934	12.13	570	1.2264
0.7521	12.15	571	1.2265
1.1429	12.17	572	1.2265
0.7981	12.19	573	1.2267
1.1508	12.21	574	1.2268
0.7887	12.23	575	1.2269
1.1157	12.26	576	1.2269
0.9693	12.28	577	1.2271
0.6783	12.3	578	1.2273
0.7375	12.32	579	1.2276
0.7851	12.34	580	1.2278
0.8485	12.36	581	1.2281
0.7239	12.38	582	1.2283
1.2064	12.4	583	1.2284
0.8828	12.43	584	1.2286
0.9791	12.45	585	1.2289
0.5679	12.47	586	1.2292
0.8562	12.49	587	1.2296
0.8473	12.51	588	1.2298
0.8534	12.53	589	1.2300
0.7977	12.55	590	1.2301
0.6877	12.57	591	1.2302
0.9068	12.6	592	1.2303
1.0501	12.62	593	1.2302
0.8659	12.64	594	1.2301
0.9847	12.66	595	1.2300
0.8394	12.68	596	1.2299
1.1309	12.7	597	1.2299
1.1101	12.72	598	1.2300
1.0249	12.74	599	1.2300
0.8355	12.77	600	1.2301
0.8521	12.79	601	1.2301
0.4543	12.81	602	1.2304
0.954	12.83	603	1.2305
1.2081	12.85	604	1.2304
0.8036	12.87	605	1.2303
1.0177	12.89	606	1.2304
0.9683	12.91	607	1.2303
0.8127	12.94	608	1.2302
0.9546	12.96	609	1.2301
0.9983	12.98	610	1.2299
0.9005	13.0	611	1.2297
0.6572	13.02	612	1.2296
0.9344	13.04	613	1.2298
0.7199	13.06	614	1.2302
0.8189	13.09	615	1.2306
0.6956	13.11	616	1.2310
1.0579	13.13	617	1.2314
0.7074	13.15	618	1.2317
0.819	13.17	619	1.2320
0.9636	13.19	620	1.2324
0.9793	13.21	621	1.2328
1.277	13.23	622	1.2330
0.6756	13.26	623	1.2334
0.7434	13.28	624	1.2337
0.6858	13.3	625	1.2342
0.6808	13.32	626	1.2345
1.0252	13.34	627	1.2347
0.5286	13.36	628	1.2350
0.7782	13.38	629	1.2354
0.8896	13.4	630	1.2356
0.7696	13.43	631	1.2358
0.943	13.45	632	1.2360
0.8693	13.47	633	1.2362
1.0619	13.49	634	1.2363
0.7923	13.51	635	1.2363
1.0486	13.53	636	1.2362
0.8259	13.55	637	1.2362
1.0124	13.57	638	1.2361
0.9727	13.6	639	1.2361
0.9889	13.62	640	1.2360
0.8328	13.64	641	1.2360
0.9412	13.66	642	1.2360
0.9981	13.68	643	1.2359
1.068	13.7	644	1.2358
0.8636	13.72	645	1.2356
0.9235	13.74	646	1.2355
1.0828	13.77	647	1.2353
0.9283	13.79	648	1.2351
0.7438	13.81	649	1.2350
1.0585	13.83	650	1.2348
1.0429	13.85	651	1.2346
0.9622	13.87	652	1.2344
0.9415	13.89	653	1.2342
0.8813	13.91	654	1.2342
0.5934	13.94	655	1.2342
0.9433	13.96	656	1.2342
1.0204	13.98	657	1.2343
0.8736	14.0	658	1.2343
0.8143	14.02	659	1.2343
1.0001	14.04	660	1.2343
0.6601	14.06	661	1.2343
1.0706	14.09	662	1.2343
1.0309	14.11	663	1.2343
0.6468	14.13	664	1.2342
1.0351	14.15	665	1.2341
0.8987	14.17	666	1.2340
1.0643	14.19	667	1.2338
1.0915	14.21	668	1.2337
0.8358	14.23	669	1.2335
0.7566	14.26	670	1.2333
0.7732	14.28	671	1.2332
0.7843	14.3	672	1.2331
1.0444	14.32	673	1.2331
1.0399	14.34	674	1.2330
0.6354	14.36	675	1.2330
0.6233	14.38	676	1.2330
0.8515	14.4	677	1.2331
1.1154	14.43	678	1.2330
0.8509	14.45	679	1.2330
0.7757	14.47	680	1.2330
1.1048	14.49	681	1.2330
0.9494	14.51	682	1.2330
0.7803	14.53	683	1.2331
0.8226	14.55	684	1.2332
1.0328	14.57	685	1.2332
1.0905	14.6	686	1.2333
1.1461	14.62	687	1.2334
0.9327	14.64	688	1.2335
0.7905	14.66	689	1.2335
0.9071	14.68	690	1.2335
0.6524	14.7	691	1.2336
0.8598	14.72	692	1.2336
0.8877	14.74	693	1.2337
0.7271	14.77	694	1.2337
1.1724	14.79	695	1.2338
0.8527	14.81	696	1.2338
0.5951	14.83	697	1.2338
0.9821	14.85	698	1.2338
0.9895	14.87	699	1.2338
0.8334	14.89	700	1.2339
0.6437	14.91	701	1.2339
0.8335	14.94	702	1.2339
1.0604	14.96	703	1.2339
0.9142	14.98	704	1.2339
0.8858	15.0	705	1.2339

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2

mixtralyanis/flant5-tuned-30

flant5-tuned-30

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mixtralyanis/
flant5-tuned-30