learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Accuracy	F1	Precision	Recall
1.795	0.01	10	1.7917	0.0027	0.136	0.0339	0.0256	0.136
1.7887	0.02	20	1.7832	0.0027	0.1405	0.0477	0.4637	0.1405
1.7814	0.03	30	1.7702	0.0027	0.189	0.1275	0.3349	0.189
1.769	0.04	40	1.7514	0.0027	0.2725	0.2001	0.2475	0.2725
1.7483	0.05	50	1.7202	0.0027	0.3425	0.2659	0.2640	0.3425
1.7084	0.06	60	1.6788	0.0027	0.3505	0.2548	0.2127	0.3505
1.662	0.07	70	1.6317	0.0027	0.3555	0.2747	0.2241	0.3555
1.5848	0.08	80	1.5909	0.0027	0.372	0.2877	0.2351	0.372
1.5767	0.09	90	1.5733	0.0027	0.3985	0.3088	0.2533	0.3985
1.6005	0.1	100	1.5589	0.0027	0.4435	0.3346	0.2773	0.4435
1.5567	0.11	110	1.5449	0.0027	0.4755	0.3649	0.2969	0.4755
1.5349	0.12	120	1.5221	0.0027	0.5045	0.3891	0.3167	0.5045
1.5702	0.13	130	1.4944	0.0027	0.4485	0.3306	0.3075	0.4485
1.4809	0.14	140	1.4387	0.0027	0.5345	0.4207	0.3588	0.5345
1.4591	0.15	150	1.3259	0.0027	0.5585	0.4330	0.3551	0.5585
1.3138	0.16	160	1.2320	0.0027	0.57	0.4478	0.3792	0.57
1.2055	0.17	170	1.1431	0.0027	0.586	0.4670	0.4603	0.586
1.1791	0.18	180	1.0841	0.0027	0.608	0.5083	0.4799	0.608
0.9323	0.19	190	0.9908	0.0027	0.6435	0.5490	0.5918	0.6435
1.0596	0.2	200	0.9285	0.0027	0.684	0.6154	0.6083	0.684
0.9785	0.21	210	0.8889	0.0027	0.7125	0.6611	0.7012	0.7125
0.8363	0.22	220	0.8356	0.0027	0.7145	0.6535	0.7233	0.7145
0.8318	0.23	230	0.8065	0.0027	0.7225	0.6618	0.6415	0.7225
0.8812	0.24	240	0.7688	0.0027	0.75	0.7028	0.7371	0.75
0.7002	0.25	250	0.7242	0.0027	0.7465	0.6989	0.7364	0.7465
0.678	0.26	260	0.6565	0.0027	0.787	0.7473	0.7711	0.787
0.648	0.27	270	0.6467	0.0027	0.7845	0.7526	0.7738	0.7845
0.5796	0.28	280	0.5743	0.0027	0.8245	0.7982	0.7989	0.8245
0.5045	0.29	290	0.5764	0.0027	0.8095	0.7825	0.7941	0.8095
0.6068	0.3	300	0.5237	0.0027	0.8485	0.8320	0.8586	0.8485
0.5789	0.31	310	0.4771	0.0027	0.852	0.8415	0.8621	0.852
0.5671	0.32	320	0.4645	0.0027	0.8725	0.8655	0.8765	0.8725
0.4609	0.33	330	0.4280	0.0027	0.878	0.8695	0.8836	0.878
0.4263	0.34	340	0.4168	0.0027	0.873	0.8696	0.8812	0.873
0.4476	0.35	350	0.4166	0.0027	0.88	0.8771	0.8802	0.88
0.3919	0.36	360	0.4005	0.0027	0.884	0.8841	0.8876	0.884
0.5108	0.37	370	0.3697	0.0027	0.882	0.8815	0.8883	0.882
0.4387	0.38	380	0.3679	0.0027	0.8875	0.8853	0.8894	0.8875
0.3192	0.39	390	0.3505	0.0027	0.883	0.8803	0.8883	0.883
0.3923	0.4	400	0.3158	0.0027	0.9025	0.9030	0.9066	0.9025
0.3959	0.41	410	0.2922	0.0027	0.9135	0.9144	0.9179	0.9135
0.3737	0.42	420	0.3082	0.0027	0.908	0.9092	0.9124	0.908
0.385	0.43	430	0.3223	0.0027	0.899	0.8962	0.9010	0.899
0.3392	0.44	440	0.3047	0.0027	0.903	0.9034	0.9058	0.903
0.2615	0.45	450	0.3186	0.0027	0.9025	0.9012	0.9025	0.9025
0.4023	0.46	460	0.3409	0.0027	0.896	0.8932	0.8986	0.896
0.3078	0.47	470	0.3052	0.0027	0.91	0.9079	0.9103	0.91
0.2658	0.48	480	0.2892	0.0027	0.9105	0.9119	0.9169	0.9105
0.4476	0.49	490	0.3052	0.0027	0.9115	0.9115	0.9127	0.9115
0.2055	0.5	500	0.2848	0.0027	0.914	0.9142	0.9149	0.914
0.4081	0.51	510	0.3081	0.0027	0.911	0.9120	0.9173	0.911
0.3362	0.52	520	0.3203	0.0027	0.9	0.8972	0.9066	0.9
0.4202	0.53	530	0.2977	0.0027	0.9085	0.9078	0.9106	0.9085
0.3556	0.54	540	0.2830	0.0027	0.915	0.9147	0.9166	0.915
0.3164	0.55	550	0.2696	0.0027	0.9195	0.9191	0.9200	0.9195
0.3359	0.56	560	0.3043	0.0027	0.9055	0.9058	0.9101	0.9055
0.255	0.57	570	0.2899	0.0027	0.9185	0.9174	0.9181	0.9185
0.1959	0.58	580	0.2978	0.0027	0.9145	0.9139	0.9181	0.9145
0.3455	0.59	590	0.2852	0.0027	0.9115	0.9110	0.9145	0.9115
0.267	0.6	600	0.2667	0.0027	0.918	0.9172	0.9180	0.918
0.3394	0.61	610	0.2532	0.0027	0.9155	0.9157	0.9167	0.9155
0.2682	0.62	620	0.2416	0.0027	0.9145	0.9149	0.9166	0.9145
0.2741	0.63	630	0.2763	0.0027	0.913	0.9138	0.9193	0.913
0.295	0.64	640	0.2492	0.0027	0.9165	0.9161	0.9167	0.9165
0.1961	0.65	650	0.2621	0.0027	0.918	0.9179	0.9191	0.918
0.3655	0.66	660	0.2451	0.0027	0.921	0.9206	0.9214	0.921
0.1153	0.67	670	0.2369	0.0027	0.9185	0.9190	0.9205	0.9185
0.2444	0.68	680	0.2389	0.0027	0.918	0.9177	0.9186	0.918
0.2205	0.69	690	0.2460	0.0027	0.9205	0.9195	0.9208	0.9205
0.1856	0.7	700	0.2711	0.0027	0.9145	0.9138	0.9171	0.9145
0.2319	0.71	710	0.2527	0.0027	0.919	0.9181	0.9194	0.919
0.3348	0.72	720	0.2700	0.0027	0.914	0.9123	0.9156	0.914
0.1814	0.73	730	0.3388	0.0027	0.894	0.8969	0.9102	0.894
0.2603	0.74	740	0.2638	0.0027	0.9245	0.9243	0.9266	0.9245
0.2582	0.75	750	0.2683	0.0027	0.9205	0.9196	0.9234	0.9205
0.3576	0.76	760	0.2746	0.0027	0.9135	0.9136	0.9143	0.9135
0.2305	0.77	770	0.2790	0.0027	0.916	0.9167	0.9229	0.916
0.2408	0.78	780	0.2393	0.0027	0.927	0.9271	0.9278	0.927
0.3282	0.79	790	0.2387	0.0027	0.9245	0.9235	0.9248	0.9245
0.3288	0.8	800	0.2167	0.0027	0.927	0.9265	0.9269	0.927
0.3258	0.81	810	0.2126	0.0027	0.9305	0.9303	0.9319	0.9305
0.1644	0.82	820	0.2094	0.0027	0.931	0.9307	0.9317	0.931
0.3519	0.83	830	0.1928	0.0027	0.9275	0.9271	0.9274	0.9275
0.1507	0.84	840	0.2451	0.0027	0.92	0.9211	0.9258	0.92
0.3902	0.85	850	0.2147	0.0027	0.928	0.9278	0.9289	0.928
0.298	0.86	860	0.2137	0.0027	0.9215	0.9207	0.9239	0.9215
0.181	0.87	870	0.2079	0.0027	0.9275	0.9273	0.9277	0.9275
0.1987	0.88	880	0.2120	0.0027	0.929	0.9284	0.9318	0.929
0.1718	0.89	890	0.2041	0.0027	0.927	0.9268	0.9287	0.927
0.1528	0.9	900	0.2103	0.0027	0.925	0.9261	0.9297	0.925
0.2216	0.91	910	0.2246	0.0027	0.9275	0.9289	0.9353	0.9275
0.277	0.92	920	0.2267	0.0027	0.9235	0.9246	0.9309	0.9235
0.2941	0.93	930	0.2211	0.0027	0.9235	0.9241	0.9297	0.9235
0.1933	0.94	940	0.2088	0.0027	0.9295	0.9303	0.9344	0.9295
0.2006	0.95	950	0.1954	0.0027	0.9285	0.9294	0.9336	0.9285
0.1879	0.96	960	0.1985	0.0027	0.93	0.9297	0.9315	0.93
0.2702	0.97	970	0.1987	0.0027	0.9315	0.9313	0.9334	0.9315
0.2915	0.98	980	0.1985	0.0027	0.931	0.9315	0.9344	0.931
0.2271	0.99	990	0.2033	0.0027	0.9285	0.9295	0.9348	0.9285
0.2967	1.0	1000	0.2298	0.0027	0.9195	0.9197	0.9224	0.9195
0.1132	1.01	1010	0.2228	0.0027	0.925	0.9250	0.9272	0.925
0.1651	1.02	1020	0.1996	0.0027	0.9215	0.9210	0.9229	0.9215
0.1574	1.03	1030	0.1796	0.0027	0.9235	0.9228	0.9241	0.9235
0.0732	1.04	1040	0.1883	0.0027	0.925	0.9252	0.9280	0.925
0.1432	1.05	1050	0.1922	0.0027	0.9195	0.9202	0.9229	0.9195
0.1183	1.06	1060	0.1994	0.0027	0.928	0.9287	0.9320	0.928
0.1178	1.07	1070	0.2157	0.0027	0.928	0.9284	0.9319	0.928
0.1397	1.08	1080	0.2176	0.0027	0.922	0.9222	0.9241	0.922
0.0635	1.09	1090	0.2186	0.0027	0.922	0.9214	0.9218	0.922
0.1598	1.1	1100	0.1864	0.0027	0.9325	0.9323	0.9330	0.9325
0.1825	1.11	1110	0.2049	0.0027	0.932	0.9320	0.9340	0.932
0.1868	1.12	1120	0.2077	0.0027	0.9325	0.9323	0.9350	0.9325
0.1579	1.13	1130	0.2047	0.0027	0.926	0.9253	0.9281	0.926
0.2095	1.1400	1140	0.1935	0.0027	0.9295	0.9296	0.9326	0.9295
0.1567	1.15	1150	0.2120	0.0027	0.926	0.9267	0.9304	0.926
0.1759	1.16	1160	0.2016	0.0027	0.925	0.9250	0.9263	0.925
0.1794	1.17	1170	0.2127	0.0027	0.9245	0.9242	0.9251	0.9245
0.1947	1.18	1180	0.1933	0.0027	0.9315	0.9312	0.9329	0.9315
0.1842	1.19	1190	0.1882	0.0027	0.936	0.9357	0.9376	0.936
0.1233	1.2	1200	0.1784	0.0027	0.939	0.9387	0.9408	0.939
0.1773	1.21	1210	0.1743	0.0027	0.9405	0.9399	0.9405	0.9405
0.1394	1.22	1220	0.1744	0.0027	0.937	0.9354	0.9374	0.937
0.1659	1.23	1230	0.1741	0.0027	0.94	0.9387	0.9406	0.94
0.1694	1.24	1240	0.1748	0.0027	0.943	0.9420	0.9431	0.943
0.0843	1.25	1250	0.2068	0.0027	0.9375	0.9361	0.9386	0.9375
0.1541	1.26	1260	0.1974	0.0027	0.934	0.9328	0.9353	0.934
0.1244	1.27	1270	0.1892	0.0027	0.931	0.9308	0.9333	0.931
0.1543	1.28	1280	0.1708	0.0027	0.939	0.9382	0.9392	0.939
0.2285	1.29	1290	0.1750	0.0027	0.933	0.9329	0.9335	0.933
0.1921	1.3	1300	0.1530	0.0027	0.9385	0.9381	0.9393	0.9385
0.1475	1.31	1310	0.1660	0.0027	0.938	0.9372	0.9384	0.938
0.0935	1.32	1320	0.1716	0.0027	0.936	0.9348	0.9368	0.936
0.1505	1.33	1330	0.1728	0.0027	0.9355	0.9345	0.9367	0.9355
0.1423	1.34	1340	0.1699	0.0027	0.9355	0.9345	0.9383	0.9355
0.228	1.35	1350	0.1735	0.0027	0.9315	0.9308	0.9350	0.9315
0.1816	1.3600	1360	0.1469	0.0027	0.9365	0.9352	0.9389	0.9365
0.1194	1.37	1370	0.1390	0.0027	0.938	0.9376	0.9384	0.938
0.128	1.38	1380	0.1528	0.0027	0.9395	0.9398	0.9435	0.9395
0.136	1.3900	1390	0.1574	0.0027	0.941	0.9413	0.9451	0.941
0.1442	1.4	1400	0.1686	0.0027	0.9365	0.9366	0.9408	0.9365
0.1585	1.41	1410	0.1724	0.0027	0.9355	0.9357	0.9387	0.9355
0.1286	1.42	1420	0.1568	0.0027	0.938	0.9380	0.9403	0.938
0.1165	1.43	1430	0.1559	0.0027	0.9375	0.9372	0.9382	0.9375
0.1511	1.44	1440	0.1590	0.0027	0.939	0.9391	0.9414	0.939
0.063	1.45	1450	0.1706	0.0027	0.9395	0.9397	0.9428	0.9395
0.1679	1.46	1460	0.1882	0.0027	0.9375	0.9378	0.9409	0.9375
0.1323	1.47	1470	0.1964	0.0027	0.9395	0.9398	0.9435	0.9395
0.2722	1.48	1480	0.1749	0.0027	0.942	0.9420	0.9444	0.942
0.1374	1.49	1490	0.1605	0.0027	0.942	0.9419	0.9419	0.942
0.2914	1.5	1500	0.1529	0.0027	0.942	0.9417	0.9418	0.942
0.092	1.51	1510	0.1543	0.0027	0.94	0.9396	0.9401	0.94
0.1392	1.52	1520	0.1550	0.0027	0.941	0.9406	0.9406	0.941
0.0958	1.53	1530	0.1489	0.0027	0.9395	0.9391	0.9404	0.9395
0.173	1.54	1540	0.1604	0.0027	0.9425	0.9420	0.9447	0.9425
0.0535	1.55	1550	0.1711	0.0027	0.9355	0.9354	0.9380	0.9355
0.1763	1.56	1560	0.1718	0.0027	0.9355	0.9353	0.9379	0.9355
0.087	1.5700	1570	0.1692	0.0027	0.937	0.9373	0.9416	0.937
0.0538	1.58	1580	0.1733	0.0027	0.938	0.9380	0.9410	0.938
0.1224	1.5900	1590	0.1725	0.0027	0.938	0.9377	0.9397	0.938
0.187	1.6	1600	0.1806	0.0027	0.9375	0.9371	0.9390	0.9375
0.1428	1.6100	1610	0.1998	0.0027	0.9325	0.9320	0.9340	0.9325
0.1706	1.62	1620	0.1845	0.0027	0.9345	0.9342	0.9355	0.9345
0.1378	1.63	1630	0.1749	0.0027	0.9355	0.9354	0.9358	0.9355
0.1472	1.6400	1640	0.1792	0.0027	0.938	0.9378	0.9393	0.938
0.2095	1.65	1650	0.1812	0.0027	0.9375	0.9371	0.9377	0.9375
0.1527	1.6600	1660	0.1646	0.0027	0.9385	0.9381	0.9383	0.9385
0.1148	1.67	1670	0.1602	0.0027	0.9425	0.9423	0.9424	0.9425
0.1568	1.6800	1680	0.1627	0.0027	0.9415	0.9413	0.9415	0.9415
0.1471	1.69	1690	0.1672	0.0027	0.9375	0.9375	0.9387	0.9375
0.1866	1.7	1700	0.1597	0.0027	0.943	0.9425	0.9428	0.943
0.259	1.71	1710	0.1568	0.0027	0.939	0.9378	0.9391	0.939
0.1514	1.72	1720	0.1522	0.0027	0.9385	0.9380	0.9390	0.9385
0.2454	1.73	1730	0.1550	0.0027	0.9435	0.9436	0.9441	0.9435
0.0998	1.74	1740	0.1604	0.0027	0.942	0.9424	0.9436	0.942
0.0891	1.75	1750	0.1613	0.0027	0.94	0.9403	0.9411	0.94
0.0875	1.76	1760	0.1786	0.0027	0.9355	0.9355	0.9364	0.9355
0.1554	1.77	1770	0.1953	0.0027	0.9335	0.9331	0.9346	0.9335
0.2474	1.78	1780	0.1830	0.0027	0.9355	0.9348	0.9364	0.9355
0.1444	1.79	1790	0.1733	0.0027	0.936	0.9350	0.9366	0.936
0.1405	1.8	1800	0.1756	0.0027	0.9325	0.9308	0.9335	0.9325
0.1052	1.81	1810	0.1817	0.0027	0.933	0.9313	0.9340	0.933
0.2039	1.8200	1820	0.1638	0.0027	0.9365	0.9352	0.9376	0.9365
0.1834	1.83	1830	0.1563	0.0027	0.94	0.9393	0.9398	0.94
0.1604	1.8400	1840	0.1432	0.0027	0.941	0.9412	0.9425	0.941
0.1529	1.85	1850	0.1408	0.0027	0.9415	0.9413	0.9431	0.9415
0.1699	1.8600	1860	0.1379	0.0027	0.94	0.9400	0.9404	0.94
0.1237	1.87	1870	0.1411	0.0027	0.9445	0.9444	0.9453	0.9445
0.088	1.88	1880	0.1435	0.0027	0.9435	0.9431	0.9443	0.9435
0.1341	1.8900	1890	0.1420	0.0027	0.945	0.9447	0.9453	0.945
0.0676	1.9	1900	0.1436	0.0027	0.946	0.9456	0.9467	0.946
0.1689	1.9100	1910	0.1456	0.0027	0.939	0.9385	0.9388	0.939
0.1048	1.92	1920	0.1459	0.0027	0.9385	0.9379	0.9379	0.9385
0.0925	1.9300	1930	0.1482	0.0027	0.94	0.9397	0.9398	0.94
0.0952	1.94	1940	0.1495	0.0027	0.9405	0.9405	0.9410	0.9405
0.1064	1.95	1950	0.1525	0.0027	0.9425	0.9427	0.9436	0.9425
0.1068	1.96	1960	0.1676	0.0027	0.935	0.9361	0.9408	0.935
0.2066	1.97	1970	0.1629	0.0027	0.9375	0.9384	0.9422	0.9375
0.1715	1.98	1980	0.1501	0.0027	0.9355	0.9361	0.9396	0.9355
0.0725	1.99	1990	0.1454	0.0027	0.9425	0.9428	0.9435	0.9425
0.1247	2.0	2000	0.1502	0.0027	0.936	0.9352	0.9377	0.936
0.1857	2.01	2010	0.1501	0.0027	0.936	0.9351	0.9382	0.936
0.0703	2.02	2020	0.1493	0.0027	0.939	0.9381	0.9413	0.939
0.0942	2.03	2030	0.1488	0.0027	0.944	0.9437	0.9449	0.944
0.1076	2.04	2040	0.1499	0.0027	0.941	0.9412	0.9428	0.941
0.0954	2.05	2050	0.1499	0.0027	0.938	0.9385	0.9416	0.938
0.0617	2.06	2060	0.1462	0.0027	0.942	0.9420	0.9428	0.942
0.0985	2.07	2070	0.1466	0.0027	0.9395	0.9389	0.9396	0.9395
0.1136	2.08	2080	0.1529	0.0027	0.94	0.9396	0.9400	0.94
0.0664	2.09	2090	0.1617	0.0027	0.9375	0.9376	0.9389	0.9375
0.1171	2.1	2100	0.1580	0.0027	0.932	0.9326	0.9351	0.932
0.096	2.11	2110	0.1536	0.0027	0.9375	0.9377	0.9393	0.9375
0.107	2.12	2120	0.1532	0.0027	0.936	0.9362	0.9377	0.936
0.1013	2.13	2130	0.1486	0.0027	0.9335	0.9339	0.9369	0.9335
0.1737	2.14	2140	0.1459	0.0027	0.934	0.9346	0.9378	0.934
0.056	2.15	2150	0.1443	0.0027	0.9335	0.9342	0.9371	0.9335
0.0564	2.16	2160	0.1472	0.0027	0.935	0.9354	0.9369	0.935
0.0827	2.17	2170	0.1519	0.0027	0.9335	0.9338	0.9359	0.9335
0.0434	2.18	2180	0.1613	0.0027	0.9355	0.9353	0.9366	0.9355
0.0572	2.19	2190	0.1737	0.0027	0.9375	0.9374	0.9394	0.9375
0.1873	2.2	2200	0.1608	0.0027	0.9395	0.9392	0.9410	0.9395
0.0435	2.21	2210	0.1588	0.0027	0.937	0.9370	0.9391	0.937
0.1286	2.22	2220	0.1597	0.0027	0.938	0.9380	0.9404	0.938
0.115	2.23	2230	0.1537	0.0027	0.941	0.9405	0.9418	0.941
0.0836	2.24	2240	0.1632	0.0027	0.9375	0.9371	0.9381	0.9375
0.1339	2.25	2250	0.1715	0.0027	0.934	0.9338	0.9351	0.934
0.0961	2.26	2260	0.1765	0.0027	0.934	0.9339	0.9361	0.934
0.0848	2.27	2270	0.1828	0.0027	0.9325	0.9322	0.9333	0.9325
0.1608	2.2800	2280	0.1789	0.0027	0.9365	0.9361	0.9370	0.9365
0.0759	2.29	2290	0.1714	0.0027	0.9405	0.9398	0.9408	0.9405
0.1003	2.3	2300	0.1648	0.0027	0.939	0.9383	0.9396	0.939
0.0487	2.31	2310	0.1635	0.0027	0.941	0.9406	0.9425	0.941
0.1517	2.32	2320	0.1579	0.0027	0.94	0.9397	0.9420	0.94
0.1331	2.33	2330	0.1552	0.0027	0.942	0.9418	0.9443	0.942
0.0625	2.34	2340	0.1586	0.0027	0.9385	0.9386	0.9425	0.9385
0.1061	2.35	2350	0.1647	0.0027	0.9385	0.9385	0.9427	0.9385
0.1616	2.36	2360	0.1573	0.0027	0.9405	0.9404	0.9439	0.9405
0.0648	2.37	2370	0.1554	0.0027	0.939	0.9390	0.9422	0.939
0.0892	2.38	2380	0.1580	0.0027	0.9385	0.9384	0.9411	0.9385
0.1772	2.39	2390	0.1562	0.0027	0.9385	0.9384	0.9415	0.9385
0.0775	2.4	2400	0.1571	0.0027	0.939	0.9389	0.9421	0.939
0.0837	2.41	2410	0.1569	0.0027	0.9385	0.9383	0.9409	0.9385
0.1363	2.42	2420	0.1570	0.0027	0.9405	0.9401	0.9423	0.9405
0.0647	2.43	2430	0.1559	0.0027	0.9395	0.9389	0.9405	0.9395
0.1773	2.44	2440	0.1526	0.0027	0.939	0.9385	0.9393	0.939
0.1588	2.45	2450	0.1484	0.0027	0.94	0.9396	0.9404	0.94
0.1238	2.46	2460	0.1460	0.0027	0.941	0.9406	0.9422	0.941
0.0555	2.4700	2470	0.1412	0.0027	0.942	0.9415	0.9432	0.942
0.0625	2.48	2480	0.1394	0.0027	0.9405	0.9402	0.9421	0.9405
0.0526	2.49	2490	0.1442	0.0027	0.941	0.9408	0.9427	0.941
0.1266	2.5	2500	0.1468	0.0027	0.9445	0.9444	0.9464	0.9445
0.0838	2.51	2510	0.1446	0.0027	0.9425	0.9423	0.9442	0.9425
0.1428	2.52	2520	0.1424	0.0027	0.9445	0.9442	0.9450	0.9445
0.1001	2.5300	2530	0.1431	0.0027	0.942	0.9416	0.9417	0.942
0.0527	2.54	2540	0.1430	0.0027	0.9415	0.9411	0.9419	0.9415
0.0626	2.55	2550	0.1406	0.0027	0.9415	0.9413	0.9415	0.9415
0.0536	2.56	2560	0.1451	0.0027	0.9415	0.9411	0.9416	0.9415
0.0914	2.57	2570	0.1462	0.0027	0.941	0.9407	0.9412	0.941
0.0562	2.58	2580	0.1496	0.0027	0.944	0.9436	0.9448	0.944
0.1598	2.59	2590	0.1501	0.0027	0.942	0.9417	0.9430	0.942
0.0802	2.6	2600	0.1430	0.0027	0.941	0.9407	0.9418	0.941
0.0668	2.61	2610	0.1416	0.0027	0.941	0.9408	0.9409	0.941
0.0349	2.62	2620	0.1455	0.0027	0.941	0.9409	0.9421	0.941
0.0503	2.63	2630	0.1448	0.0027	0.9395	0.9395	0.9411	0.9395
0.1185	2.64	2640	0.1443	0.0027	0.938	0.9381	0.9401	0.938
0.0682	2.65	2650	0.1441	0.0027	0.941	0.9409	0.9425	0.941
0.1327	2.66	2660	0.1443	0.0027	0.941	0.9409	0.9418	0.941
0.0855	2.67	2670	0.1389	0.0027	0.941	0.9410	0.9421	0.941
0.0777	2.68	2680	0.1370	0.0027	0.9395	0.9395	0.9404	0.9395
0.0757	2.69	2690	0.1366	0.0027	0.9385	0.9382	0.9386	0.9385
0.0906	2.7	2700	0.1366	0.0027	0.939	0.9386	0.9389	0.939
0.1172	2.71	2710	0.1369	0.0027	0.9385	0.9380	0.9382	0.9385
0.0962	2.7200	2720	0.1358	0.0027	0.9375	0.9370	0.9374	0.9375
0.1413	2.73	2730	0.1355	0.0027	0.9405	0.9400	0.9405	0.9405
0.1402	2.74	2740	0.1333	0.0027	0.9415	0.9411	0.9415	0.9415
0.0695	2.75	2750	0.1318	0.0027	0.9405	0.9402	0.9403	0.9405
0.0307	2.76	2760	0.1314	0.0027	0.9435	0.9431	0.9433	0.9435
0.1121	2.77	2770	0.1321	0.0027	0.9425	0.9421	0.9424	0.9425
0.0348	2.7800	2780	0.1325	0.0027	0.9425	0.9421	0.9424	0.9425
0.0362	2.79	2790	0.1351	0.0027	0.9425	0.9419	0.9428	0.9425
0.0861	2.8	2800	0.1355	0.0027	0.942	0.9414	0.9422	0.942
0.0518	2.81	2810	0.1341	0.0027	0.9425	0.9420	0.9424	0.9425
0.1777	2.82	2820	0.1325	0.0027	0.944	0.9436	0.9438	0.944
0.1185	2.83	2830	0.1313	0.0027	0.9435	0.9432	0.9434	0.9435
0.0867	2.84	2840	0.1304	0.0027	0.9435	0.9434	0.9436	0.9435
0.089	2.85	2850	0.1306	0.0027	0.9425	0.9425	0.9430	0.9425
0.0851	2.86	2860	0.1316	0.0027	0.945	0.9450	0.9458	0.945
0.0968	2.87	2870	0.1320	0.0027	0.9445	0.9445	0.9457	0.9445
0.1323	2.88	2880	0.1319	0.0027	0.945	0.9449	0.9459	0.945
0.0989	2.89	2890	0.1322	0.0027	0.9435	0.9435	0.9443	0.9435
0.0593	2.9	2900	0.1324	0.0027	0.9415	0.9415	0.9420	0.9415
0.1436	2.91	2910	0.1325	0.0027	0.9425	0.9425	0.9430	0.9425
0.0697	2.92	2920	0.1333	0.0027	0.9435	0.9434	0.9439	0.9435
0.0763	2.93	2930	0.1340	0.0027	0.944	0.9438	0.9445	0.944
0.0668	2.94	2940	0.1340	0.0027	0.944	0.9438	0.9444	0.944
0.0872	2.95	2950	0.1336	0.0027	0.9445	0.9443	0.9448	0.9445
0.0501	2.96	2960	0.1335	0.0027	0.9445	0.9444	0.9447	0.9445
0.0875	2.9700	2970	0.1335	0.0027	0.945	0.9449	0.9452	0.945
0.0773	2.98	2980	0.1335	0.0027	0.945	0.9449	0.9452	0.945
0.0745	2.99	2990	0.1335	0.0027	0.945	0.9449	0.9453	0.945
0.0922	3.0	3000	0.1335	0.0027	0.945	0.9449	0.9453	0.945

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.21.0

macapa/emotion-classifier

emotion-classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

macapa/
emotion-classifier