Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.9494	0.01	100	0.8736	0.5144	0.4356	0.5601	0.5144
0.6266	0.02	200	0.5864	0.7277	0.7222	0.7414	0.7277
0.2747	0.02	300	0.3926	0.8644	0.8624	0.8812	0.8644
0.1963	0.03	400	0.4653	0.8693	0.8673	0.8876	0.8693
0.1517	0.04	500	0.5235	0.8678	0.8656	0.8877	0.8678
0.1335	0.05	600	0.5410	0.8712	0.8692	0.8892	0.8712
0.1286	0.06	700	0.6130	0.8652	0.8628	0.8856	0.8652
0.097	0.06	800	0.5954	0.8731	0.8717	0.8857	0.8731
0.1051	0.07	900	0.6787	0.8735	0.8717	0.8897	0.8735
0.1243	0.08	1000	0.6462	0.8724	0.8709	0.8844	0.8724
0.1007	0.09	1100	0.7043	0.8674	0.8655	0.8839	0.8674
0.0864	0.1	1200	0.7269	0.8690	0.8671	0.8850	0.8690
0.1039	0.1	1300	0.7651	0.8671	0.8656	0.8792	0.8671
0.0881	0.11	1400	0.7508	0.8693	0.8675	0.8855	0.8693
0.0947	0.12	1500	0.8400	0.8633	0.8613	0.8801	0.8633
0.1046	0.13	1600	0.8959	0.8663	0.8642	0.8849	0.8663
0.0838	0.14	1700	0.8912	0.8667	0.8648	0.8823	0.8667
0.1	0.14	1800	0.9090	0.8671	0.8653	0.8816	0.8671
0.0965	0.15	1900	0.9310	0.8640	0.8621	0.8799	0.8640
0.0995	0.16	2000	1.0193	0.8671	0.8649	0.8860	0.8671
0.1363	0.17	2100	0.9694	0.8705	0.8689	0.8844	0.8705
0.1287	0.18	2200	0.9761	0.8671	0.8654	0.8812	0.8671
0.1438	0.18	2300	1.1352	0.8637	0.8612	0.8848	0.8637
0.1081	0.19	2400	1.1154	0.8640	0.8621	0.8802	0.8640
0.088	0.2	2500	1.1275	0.8659	0.8639	0.8831	0.8659
0.1119	0.21	2600	1.2741	0.8599	0.8572	0.8826	0.8599
0.163	0.22	2700	1.2057	0.8663	0.8642	0.8847	0.8663
0.1742	0.22	2800	1.2599	0.8637	0.8614	0.8834	0.8637
0.1145	0.23	2900	1.2909	0.8618	0.8601	0.8752	0.8618
0.1451	0.24	3000	1.2917	0.8663	0.8643	0.8839	0.8663
0.1979	0.25	3100	1.2644	0.8637	0.8616	0.8804	0.8637
0.0965	0.26	3200	1.3021	0.8618	0.8599	0.8768	0.8618
0.1252	0.26	3300	1.1827	0.8663	0.8644	0.8828	0.8663
0.1343	0.27	3400	1.3309	0.8659	0.8638	0.8841	0.8659
0.1038	0.28	3500	1.3382	0.8618	0.8602	0.8743	0.8618
0.1641	0.29	3600	1.3133	0.8629	0.8612	0.8763	0.8629
0.1577	0.3	3700	1.3196	0.8633	0.8614	0.8786	0.8633
0.1354	0.3	3800	1.3578	0.8614	0.8596	0.8754	0.8614
0.1212	0.31	3900	1.4582	0.8606	0.8588	0.8755	0.8606
0.1821	0.32	4000	1.3076	0.8640	0.8621	0.8797	0.8640
0.1494	0.33	4100	1.3707	0.8644	0.8625	0.8800	0.8644
0.1252	0.34	4200	1.4447	0.8588	0.8570	0.8720	0.8588
0.1451	0.34	4300	1.4365	0.8656	0.8636	0.8820	0.8656
0.1528	0.35	4400	1.4891	0.8629	0.8611	0.8776	0.8629
0.1448	0.36	4500	1.5234	0.8618	0.8599	0.8766	0.8618
0.2075	0.37	4600	1.4235	0.8633	0.8614	0.8784	0.8633
0.1502	0.38	4700	1.5434	0.8629	0.8610	0.8786	0.8629
0.1492	0.38	4800	1.6726	0.8603	0.8583	0.8760	0.8603
0.1921	0.39	4900	1.6339	0.8633	0.8614	0.8791	0.8633
0.1515	0.4	5000	1.6651	0.8640	0.8622	0.8794	0.8640
0.2271	0.41	5100	1.7037	0.8656	0.8634	0.8841	0.8656
0.2935	0.42	5200	1.5967	0.8656	0.8638	0.8805	0.8656
0.1641	0.42	5300	1.5818	0.8656	0.8636	0.8825	0.8656
0.1563	0.43	5400	1.6788	0.8652	0.8632	0.8818	0.8652
0.2386	0.44	5500	1.6893	0.8648	0.8629	0.8802	0.8648
0.1644	0.45	5600	1.7304	0.8637	0.8618	0.8787	0.8637
0.1917	0.46	5700	1.7029	0.8663	0.8646	0.8802	0.8663
0.1534	0.46	5800	1.8255	0.8652	0.8633	0.8808	0.8652
0.2468	0.47	5900	1.7937	0.8629	0.8610	0.8781	0.8629
0.1443	0.48	6000	1.8242	0.8629	0.8612	0.8769	0.8629
0.1968	0.49	6100	1.8104	0.8637	0.8619	0.8780	0.8637
0.2546	0.5	6200	1.8293	0.8640	0.8621	0.8802	0.8640
0.1756	0.5	6300	1.9527	0.8629	0.8610	0.8786	0.8629
0.277	0.51	6400	1.9285	0.8603	0.8586	0.8729	0.8603
0.2327	0.52	6500	1.9621	0.8629	0.8610	0.8786	0.8629
0.2526	0.53	6600	1.9757	0.8633	0.8614	0.8791	0.8633
0.2439	0.54	6700	2.0490	0.8599	0.8582	0.8731	0.8599
0.2546	0.54	6800	1.9591	0.8637	0.8619	0.8777	0.8637
0.2197	0.55	6900	2.0416	0.8659	0.8641	0.8813	0.8659
0.2329	0.56	7000	2.0248	0.8640	0.8622	0.8787	0.8640
0.2158	0.57	7100	2.0538	0.8637	0.8618	0.8784	0.8637
0.2372	0.58	7200	2.0786	0.8622	0.8601	0.8791	0.8622
0.247	0.58	7300	2.0921	0.8622	0.8601	0.8786	0.8622
0.2151	0.59	7400	2.0345	0.8652	0.8635	0.8784	0.8652
0.1967	0.6	7500	2.1306	0.8610	0.8589	0.8780	0.8610
0.1728	0.61	7600	2.0889	0.8644	0.8625	0.8805	0.8644
0.2496	0.62	7700	2.1031	0.8629	0.8611	0.8772	0.8629
0.2479	0.62	7800	2.0390	0.8614	0.8597	0.8747	0.8614
0.2503	0.63	7900	2.0854	0.8652	0.8633	0.8810	0.8652
0.2469	0.64	8000	2.1326	0.8599	0.8582	0.8731	0.8599
0.2286	0.65	8100	2.0677	0.8648	0.8629	0.8807	0.8648
0.2223	0.66	8200	2.0680	0.8625	0.8607	0.8776	0.8625
0.248	0.66	8300	2.0952	0.8640	0.8622	0.8794	0.8640
0.2402	0.67	8400	2.1070	0.8629	0.8609	0.8799	0.8629
0.2417	0.68	8500	2.0570	0.8652	0.8634	0.8795	0.8652
0.2305	0.69	8600	2.1236	0.8606	0.8591	0.8728	0.8606
0.184	0.7	8700	2.1277	0.8629	0.8611	0.8779	0.8629
0.1861	0.7	8800	2.1695	0.8640	0.8621	0.8802	0.8640
0.2246	0.71	8900	2.1301	0.8644	0.8626	0.8790	0.8644
0.2213	0.72	9000	2.1211	0.8629	0.8609	0.8791	0.8629
0.2087	0.73	9100	2.1119	0.8663	0.8647	0.8792	0.8663
0.2665	0.74	9200	2.1326	0.8644	0.8627	0.8788	0.8644
0.1916	0.74	9300	2.1792	0.8603	0.8581	0.8780	0.8603
0.1771	0.75	9400	2.1212	0.8652	0.8634	0.8800	0.8652
0.2424	0.76	9500	2.0911	0.8644	0.8626	0.8795	0.8644
0.2198	0.77	9600	2.1190	0.8633	0.8615	0.8782	0.8633
0.1696	0.78	9700	2.1271	0.8644	0.8627	0.8785	0.8644
0.181	0.78	9800	2.1595	0.8633	0.8614	0.8784	0.8633
0.2164	0.79	9900	2.1076	0.8640	0.8624	0.8776	0.8640
0.193	0.8	10000	2.2109	0.8622	0.8602	0.8783	0.8622
0.2687	0.81	10100	2.0889	0.8640	0.8623	0.8778	0.8640
0.1753	0.82	10200	2.1338	0.8629	0.8612	0.8769	0.8629
0.2145	0.82	10300	2.1685	0.8618	0.8598	0.8778	0.8618
0.2245	0.83	10400	2.1522	0.8633	0.8614	0.8791	0.8633
0.2426	0.84	10500	2.1791	0.8618	0.8598	0.8778	0.8618
0.1354	0.85	10600	2.1929	0.8637	0.8615	0.8815	0.8637
0.2212	0.86	10700	2.2136	0.8618	0.8598	0.8780	0.8618
0.1629	0.86	10800	2.2222	0.8640	0.8622	0.8790	0.8640
0.1885	0.87	10900	2.1754	0.8637	0.8618	0.8787	0.8637
0.1804	0.88	11000	2.1812	0.8659	0.8641	0.8808	0.8659
0.1578	0.89	11100	2.2018	0.8629	0.8611	0.8774	0.8629
0.28	0.9	11200	2.2446	0.8633	0.8616	0.8772	0.8633
0.343	0.9	11300	2.1378	0.8625	0.8609	0.8753	0.8625
0.2371	0.91	11400	2.2008	0.8633	0.8615	0.8777	0.8633
0.2227	0.92	11500	2.2469	0.8618	0.8600	0.8754	0.8618
0.2136	0.93	11600	2.2088	0.8614	0.8598	0.8740	0.8614
0.1769	0.94	11700	2.2464	0.8599	0.8582	0.8731	0.8599
0.1731	0.94	11800	2.2234	0.8614	0.8598	0.8736	0.8614
0.1478	0.95	11900	2.2484	0.8622	0.8605	0.8755	0.8622
0.1965	0.96	12000	2.2631	0.8606	0.8587	0.8760	0.8606
0.1724	0.97	12100	2.2277	0.8629	0.8612	0.8767	0.8629
0.1743	0.98	12200	2.2287	0.8625	0.8607	0.8769	0.8625
0.2682	0.98	12300	2.2316	0.8610	0.8590	0.8770	0.8610
0.1671	0.99	12400	2.2474	0.8622	0.8604	0.8762	0.8622
0.187	1.0	12500	2.2459	0.8633	0.8614	0.8789	0.8633
0.2311	1.01	12600	2.2434	0.8622	0.8603	0.8766	0.8622
0.2085	1.02	12700	2.2845	0.8618	0.8599	0.8768	0.8618
0.1421	1.02	12800	2.2292	0.8625	0.8607	0.8771	0.8625
0.2476	1.03	12900	2.2084	0.8629	0.8610	0.8781	0.8629
0.2092	1.04	13000	2.2049	0.8622	0.8602	0.8776	0.8622
0.1621	1.05	13100	2.2588	0.8603	0.8586	0.8734	0.8603
0.2178	1.06	13200	2.2491	0.8595	0.8580	0.8711	0.8595
0.1559	1.06	13300	2.3370	0.8584	0.8568	0.8702	0.8584
0.235	1.07	13400	2.3373	0.8603	0.8583	0.8760	0.8603
0.1646	1.08	13500	2.2559	0.8618	0.8599	0.8766	0.8618
0.1687	1.09	13600	2.3108	0.8618	0.8599	0.8771	0.8618
0.2368	1.1	13700	2.2649	0.8618	0.8600	0.8761	0.8618
0.1429	1.1	13800	2.3160	0.8614	0.8597	0.8751	0.8614
0.2345	1.11	13900	2.3249	0.8599	0.8581	0.8738	0.8599
0.18	1.12	14000	2.2549	0.8606	0.8587	0.8762	0.8606
0.1592	1.13	14100	2.2581	0.8622	0.8604	0.8762	0.8622
0.244	1.14	14200	2.2547	0.8625	0.8607	0.8774	0.8625
0.1482	1.14	14300	2.2739	0.8614	0.8594	0.8773	0.8614
0.1872	1.15	14400	2.2612	0.8614	0.8595	0.8768	0.8614
0.1457	1.16	14500	2.2575	0.8629	0.8610	0.8781	0.8629
0.1829	1.17	14600	2.2488	0.8610	0.8592	0.8755	0.8610
0.1839	1.18	14700	2.2327	0.8618	0.8600	0.8759	0.8618
0.1211	1.18	14800	2.2643	0.8614	0.8596	0.8754	0.8614
0.2126	1.19	14900	2.2206	0.8618	0.8600	0.8761	0.8618
0.1645	1.2	15000	2.2473	0.8633	0.8615	0.8777	0.8633
0.2154	1.21	15100	2.2857	0.8629	0.8611	0.8776	0.8629
0.1771	1.22	15200	2.2785	0.8606	0.8590	0.8732	0.8606
0.1715	1.22	15300	2.2312	0.8618	0.8601	0.8747	0.8618
0.1862	1.23	15400	2.2762	0.8614	0.8595	0.8770	0.8614
0.2334	1.24	15500	2.2271	0.8644	0.8627	0.8788	0.8644
0.2085	1.25	15600	2.2593	0.8618	0.8600	0.8761	0.8618
0.1895	1.26	15700	2.2594	0.8637	0.8619	0.8777	0.8637
0.2338	1.26	15800	2.2837	0.8614	0.8597	0.8751	0.8614
0.2084	1.27	15900	2.2176	0.8618	0.8601	0.8747	0.8618
0.2107	1.28	16000	2.2536	0.8610	0.8592	0.8751	0.8610
0.1682	1.29	16100	2.2652	0.8614	0.8597	0.8745	0.8614
0.175	1.3	16200	2.2509	0.8614	0.8597	0.8747	0.8614
0.2036	1.3	16300	2.2475	0.8606	0.8589	0.8739	0.8606
0.1902	1.31	16400	2.2726	0.8622	0.8605	0.8748	0.8622
0.211	1.32	16500	2.2659	0.8618	0.8600	0.8754	0.8618
0.1791	1.33	16600	2.2408	0.8622	0.8606	0.8737	0.8622
0.1741	1.34	16700	2.3162	0.8599	0.8584	0.8712	0.8599
0.212	1.34	16800	2.3139	0.8618	0.8600	0.8756	0.8618
0.2437	1.35	16900	2.2578	0.8625	0.8609	0.8753	0.8625
0.2018	1.36	17000	2.3055	0.8606	0.8590	0.8732	0.8606
0.2045	1.37	17100	2.2606	0.8618	0.8601	0.8752	0.8618
0.2036	1.38	17200	2.2477	0.8606	0.8590	0.8732	0.8606
0.1797	1.38	17300	2.2420	0.8610	0.8594	0.8735	0.8610
0.2031	1.39	17400	2.3146	0.8614	0.8597	0.8747	0.8614
0.1626	1.4	17500	2.2869	0.8625	0.8607	0.8769	0.8625
0.2573	1.41	17600	2.2997	0.8606	0.8590	0.8732	0.8606
0.1446	1.42	17700	2.3100	0.8595	0.8578	0.8730	0.8595
0.1898	1.42	17800	2.2288	0.8629	0.8613	0.8754	0.8629
0.2456	1.43	17900	2.2901	0.8603	0.8586	0.8729	0.8603
0.1586	1.44	18000	2.2949	0.8603	0.8586	0.8734	0.8603
0.1511	1.45	18100	2.2993	0.8603	0.8586	0.8734	0.8603
0.151	1.46	18200	2.2904	0.8588	0.8570	0.8718	0.8588
0.1978	1.46	18300	2.2994	0.8591	0.8575	0.8719	0.8591
0.1914	1.47	18400	2.2923	0.8606	0.8589	0.8743	0.8606
0.1333	1.48	18500	2.3371	0.8588	0.8571	0.8716	0.8588
0.1946	1.49	18600	2.2922	0.8606	0.8588	0.8750	0.8606
0.2382	1.5	18700	2.2843	0.8603	0.8586	0.8729	0.8603
0.1299	1.5	18800	2.2607	0.8603	0.8585	0.8738	0.8603
0.1677	1.51	18900	2.3156	0.8610	0.8593	0.8746	0.8610
0.146	1.52	19000	2.2914	0.8610	0.8592	0.8753	0.8610
0.1716	1.53	19100	2.3144	0.8599	0.8580	0.8747	0.8599
0.1753	1.54	19200	2.2928	0.8622	0.8602	0.8776	0.8622
0.145	1.54	19300	2.2965	0.8610	0.8591	0.8765	0.8610
0.2447	1.55	19400	2.2429	0.8614	0.8595	0.8763	0.8614
0.2159	1.56	19500	2.2536	0.8606	0.8590	0.8737	0.8606
0.1941	1.57	19600	2.2970	0.8595	0.8578	0.8726	0.8595
0.0558	1.58	19700	2.3184	0.8614	0.8596	0.8754	0.8614
0.1884	1.58	19800	2.3360	0.8584	0.8565	0.8727	0.8584
0.1889	1.59	19900	2.2758	0.8591	0.8574	0.8721	0.8591
0.1889	1.6	20000	2.2841	0.8599	0.8582	0.8731	0.8599
0.174	1.61	20100	2.3137	0.8588	0.8570	0.8718	0.8588
0.1344	1.62	20200	2.2792	0.8614	0.8597	0.8742	0.8614
0.1469	1.62	20300	2.2522	0.8606	0.8591	0.8726	0.8606
0.2515	1.63	20400	2.3051	0.8614	0.8596	0.8758	0.8614
0.1137	1.64	20500	2.3196	0.8595	0.8579	0.8719	0.8595
0.2077	1.65	20600	2.2956	0.8591	0.8575	0.8714	0.8591
0.2118	1.66	20700	2.3010	0.8606	0.8589	0.8743	0.8606
0.1813	1.66	20800	2.2543	0.8610	0.8593	0.8749	0.8610
0.1543	1.67	20900	2.2966	0.8606	0.8587	0.8757	0.8606
0.1499	1.68	21000	2.2502	0.8606	0.8590	0.8734	0.8606
0.1875	1.69	21100	2.2973	0.8618	0.8599	0.8763	0.8618
0.227	1.7	21200	2.2575	0.8606	0.8589	0.8743	0.8606
0.2004	1.7	21300	2.2163	0.8618	0.8601	0.8750	0.8618
0.1592	1.71	21400	2.2668	0.8614	0.8597	0.8749	0.8614
0.1827	1.72	21500	2.2783	0.8622	0.8605	0.8752	0.8622
0.1806	1.73	21600	2.2336	0.8606	0.8589	0.8743	0.8606
0.1381	1.74	21700	2.2785	0.8618	0.8601	0.8747	0.8618
0.2109	1.74	21800	2.2627	0.8640	0.8624	0.8773	0.8640
0.2175	1.75	21900	2.2620	0.8629	0.8612	0.8763	0.8629
0.1265	1.76	22000	2.3233	0.8614	0.8597	0.8745	0.8614
0.1779	1.77	22100	2.3258	0.8610	0.8594	0.8733	0.8610
0.1492	1.78	22200	2.3090	0.8614	0.8598	0.8740	0.8614
0.2162	1.78	22300	2.2683	0.8614	0.8599	0.8732	0.8614
0.1461	1.79	22400	2.3485	0.8603	0.8585	0.8743	0.8603
0.1814	1.8	22500	2.2756	0.8618	0.8601	0.8747	0.8618
0.2056	1.81	22600	2.3039	0.8599	0.8580	0.8742	0.8599
0.1752	1.82	22700	2.3411	0.8588	0.8569	0.8732	0.8588
0.1703	1.82	22800	2.3312	0.8591	0.8575	0.8717	0.8591
0.1948	1.83	22900	2.3066	0.8595	0.8578	0.8726	0.8595
0.196	1.84	23000	2.3609	0.8591	0.8575	0.8712	0.8591
0.154	1.85	23100	2.3389	0.8588	0.8571	0.8709	0.8588
0.1699	1.86	23200	2.3253	0.8599	0.8583	0.8722	0.8599
0.1633	1.86	23300	2.3693	0.8576	0.8558	0.8719	0.8576
0.1504	1.87	23400	2.3270	0.8599	0.8581	0.8733	0.8599
0.2036	1.88	23500	2.3290	0.8591	0.8574	0.8725	0.8591
0.1523	1.89	23600	2.3689	0.8599	0.8581	0.8738	0.8599
0.1951	1.9	23700	2.2765	0.8606	0.8590	0.8732	0.8606
0.1382	1.9	23800	2.3362	0.8599	0.8582	0.8729	0.8599
0.1118	1.91	23900	2.3666	0.8595	0.8578	0.8724	0.8595
0.2331	1.92	24000	2.3684	0.8595	0.8578	0.8728	0.8595
0.2376	1.93	24100	2.3604	0.8599	0.8581	0.8740	0.8599
0.2144	1.94	24200	2.2634	0.8614	0.8598	0.8734	0.8614
0.1365	1.94	24300	2.3800	0.8588	0.8569	0.8729	0.8588
0.148	1.95	24400	2.3321	0.8595	0.8579	0.8717	0.8595
0.1822	1.96	24500	2.3240	0.8599	0.8580	0.8745	0.8599
0.1875	1.97	24600	2.3408	0.8599	0.8582	0.8731	0.8599
0.1956	1.98	24700	2.3142	0.8606	0.8590	0.8737	0.8606
0.1704	1.98	24800	2.3011	0.8622	0.8603	0.8766	0.8622
0.2133	1.99	24900	2.3037	0.8610	0.8594	0.8737	0.8610
0.1373	2.0	25000	2.2866	0.8618	0.8602	0.8743	0.8618
0.1834	2.01	25100	2.3310	0.8603	0.8586	0.8732	0.8603
0.2341	2.02	25200	2.2910	0.8606	0.8590	0.8730	0.8606
0.188	2.02	25300	2.2973	0.8610	0.8594	0.8733	0.8610
0.1795	2.03	25400	2.2980	0.8614	0.8597	0.8747	0.8614
0.1217	2.04	25500	2.3586	0.8610	0.8593	0.8746	0.8610
0.1521	2.05	25600	2.3181	0.8610	0.8594	0.8733	0.8610
0.1713	2.06	25700	2.3195	0.8595	0.8579	0.8717	0.8595
0.1543	2.06	25800	2.3433	0.8588	0.8571	0.8714	0.8588
0.1276	2.07	25900	2.3511	0.8588	0.8571	0.8714	0.8588
0.1927	2.08	26000	2.3367	0.8584	0.8567	0.8711	0.8584
0.1687	2.09	26100	2.3132	0.8606	0.8590	0.8737	0.8606
0.182	2.1	26200	2.3801	0.8591	0.8575	0.8717	0.8591
0.1969	2.1	26300	2.3655	0.8610	0.8592	0.8751	0.8610
0.1285	2.11	26400	2.3745	0.8599	0.8581	0.8736	0.8599
0.1332	2.12	26500	2.3669	0.8603	0.8585	0.8736	0.8603
0.0973	2.13	26600	2.3738	0.8595	0.8577	0.8740	0.8595
0.1619	2.14	26700	2.3852	0.8584	0.8567	0.8709	0.8584
0.1902	2.14	26800	2.3698	0.8591	0.8575	0.8719	0.8591
0.1587	2.15	26900	2.3686	0.8591	0.8574	0.8728	0.8591
0.1653	2.16	27000	2.3625	0.8591	0.8574	0.8723	0.8591
0.123	2.17	27100	2.3334	0.8588	0.8571	0.8709	0.8588
0.1623	2.18	27200	2.3450	0.8614	0.8595	0.8763	0.8614
0.2265	2.18	27300	2.2938	0.8591	0.8576	0.8706	0.8591
0.147	2.19	27400	2.3616	0.8599	0.8582	0.8729	0.8599
0.154	2.2	27500	2.3458	0.8606	0.8589	0.8739	0.8606
0.174	2.21	27600	2.3778	0.8591	0.8576	0.8708	0.8591
0.1132	2.22	27700	2.3620	0.8603	0.8586	0.8729	0.8603
0.1243	2.22	27800	2.4019	0.8588	0.8571	0.8712	0.8588
0.1529	2.23	27900	2.3913	0.8584	0.8567	0.8709	0.8584
0.1056	2.24	28000	2.3855	0.8603	0.8586	0.8734	0.8603
0.1316	2.25	28100	2.4150	0.8595	0.8578	0.8728	0.8595
0.1121	2.26	28200	2.3840	0.8584	0.8566	0.8717	0.8584
0.2022	2.26	28300	2.3457	0.8591	0.8575	0.8710	0.8591
0.1859	2.27	28400	2.3294	0.8595	0.8578	0.8722	0.8595
0.1638	2.28	28500	2.3811	0.8565	0.8549	0.8684	0.8565
0.1461	2.29	28600	2.4119	0.8554	0.8536	0.8679	0.8554
0.1758	2.3	28700	2.3863	0.8576	0.8560	0.8694	0.8576
0.1637	2.3	28800	2.4175	0.8573	0.8556	0.8692	0.8573
0.1902	2.31	28900	2.3778	0.8591	0.8574	0.8721	0.8591
0.0955	2.32	29000	2.3967	0.8588	0.8570	0.8723	0.8588
0.1419	2.33	29100	2.3850	0.8584	0.8566	0.8715	0.8584
0.1614	2.34	29200	2.3960	0.8584	0.8566	0.8722	0.8584
0.2069	2.34	29300	2.3357	0.8584	0.8567	0.8709	0.8584
0.1547	2.35	29400	2.3682	0.8565	0.8547	0.8699	0.8565
0.1487	2.36	29500	2.3847	0.8573	0.8556	0.8694	0.8573
0.1044	2.37	29600	2.4106	0.8584	0.8567	0.8713	0.8584
0.2181	2.38	29700	2.3857	0.8576	0.8559	0.8703	0.8576
0.2294	2.38	29800	2.3231	0.8591	0.8576	0.8702	0.8591
0.1921	2.39	29900	2.3138	0.8606	0.8590	0.8734	0.8606
0.2334	2.4	30000	2.2727	0.8606	0.8588	0.8748	0.8606
0.1703	2.41	30100	2.3384	0.8591	0.8574	0.8721	0.8591
0.1713	2.42	30200	2.3356	0.8610	0.8593	0.8746	0.8610
0.1686	2.42	30300	2.3269	0.8603	0.8584	0.8748	0.8603
0.151	2.43	30400	2.3478	0.8599	0.8582	0.8727	0.8599
0.1872	2.44	30500	2.3963	0.8573	0.8554	0.8711	0.8573
0.1196	2.45	30600	2.3817	0.8595	0.8578	0.8726	0.8595
0.1545	2.46	30700	2.3864	0.8580	0.8563	0.8708	0.8580
0.193	2.46	30800	2.3527	0.8610	0.8593	0.8744	0.8610

Framework versions

Transformers 4.37.0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

ManojAlexender/Research_paper_MLM_Final_Label_400k_v2

Research_paper_MLM_Final_Label_400k_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ManojAlexender/
Research_paper_MLM_Final_Label_400k_v2