long-t5-local-base-finetuned

This model is a fine-tuned version of google/long-t5-local-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 9.2722
Rouge1: 3.8848
Rouge2: 0.5914
Rougel: 3.5038
Rougelsum: 3.7022
Gen Len: 19.0

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: 1e-06
train_batch_size: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50000

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	0.16	100	342.4395	0.0	0.0	0.0	0.0	19.0
No log	0.31	200	323.6985	0.0	0.0	0.0	0.0	19.0
No log	0.47	300	303.8767	0.0	0.0	0.0	0.0	19.0
No log	0.62	400	284.7559	0.0	0.0	0.0	0.0	19.0
295.8376	0.78	500	263.0420	0.0	0.0	0.0	0.0	19.0
295.8376	0.93	600	243.2220	0.0242	0.0	0.0223	0.0242	19.0
295.8376	1.09	700	224.4514	0.0493	0.0	0.0507	0.0513	19.0
295.8376	1.24	800	203.9065	0.0656	0.0	0.0634	0.0658	19.0
295.8376	1.4	900	184.8686	0.0609	0.0	0.058	0.0616	19.0
199.938	1.55	1000	167.5315	0.0638	0.0	0.0626	0.063	19.0
199.938	1.71	1100	151.2369	0.0421	0.0	0.0411	0.0413	19.0
199.938	1.86	1200	137.2366	0.0358	0.0	0.0346	0.0342	19.0
199.938	2.02	1300	125.3076	0.0173	0.0	0.0157	0.0157	19.0
199.938	2.17	1400	114.5600	0.0173	0.0	0.0157	0.0157	19.0
136.1309	2.33	1500	105.9237	0.0361	0.0	0.0344	0.0363	19.0
136.1309	2.48	1600	97.4123	0.0526	0.0	0.051	0.054	19.0
136.1309	2.64	1700	89.0873	0.0427	0.0	0.0407	0.0418	19.0
136.1309	2.79	1800	82.0562	0.0496	0.0	0.0462	0.0462	19.0
136.1309	2.95	1900	76.2360	0.0361	0.0	0.0345	0.0363	19.0
99.2229	3.1	2000	70.0604	0.0438	0.0	0.0425	0.0439	19.0
99.2229	3.26	2100	65.1038	0.0454	0.0	0.0441	0.0447	19.0
99.2229	3.41	2200	59.1831	0.0344	0.0	0.0318	0.0318	19.0
99.2229	3.57	2300	53.0313	0.0471	0.0	0.0448	0.0454	19.0
99.2229	3.72	2400	48.2110	0.0369	0.0	0.0369	0.0369	19.0
73.4208	3.88	2500	44.2004	0.0425	0.0	0.0427	0.044	19.0
73.4208	4.03	2600	40.1925	0.0632	0.0	0.0619	0.0612	19.0
73.4208	4.19	2700	36.3698	0.0887	0.0	0.0873	0.086	19.0
73.4208	4.34	2800	33.2154	0.164	0.0	0.1652	0.1705	19.0
73.4208	4.5	2900	30.9366	0.1106	0.0	0.1138	0.1144	19.0
55.6661	4.65	3000	28.5672	0.1289	0.0	0.1295	0.131	19.0
55.6661	4.81	3100	27.0910	0.2501	0.0	0.2514	0.2527	19.0
55.6661	4.96	3200	25.6666	0.318	0.0	0.3322	0.3203	19.0
55.6661	5.12	3300	24.6176	0.6319	0.0	0.6419	0.6299	19.0
55.6661	5.27	3400	23.6474	1.6632	0.0033	1.665	1.6244	19.0
45.1105	5.43	3500	22.7063	3.1374	0.0	3.1331	3.1333	19.0
45.1105	5.58	3600	21.9191	5.0757	0.0	5.0694	5.0456	19.0
45.1105	5.74	3700	21.3359	5.6576	0.0	5.689	5.6772	19.0
45.1105	5.89	3800	20.6990	5.828	0.0	5.8801	5.8688	19.0
45.1105	6.05	3900	20.1800	6.3727	0.0	6.3801	6.3716	19.0
39.6923	6.2	4000	19.7415	6.2209	0.0	6.2347	6.2368	19.0
39.6923	6.36	4100	19.2800	5.7215	0.0	5.7452	5.7295	19.0
39.6923	6.51	4200	18.9683	6.1018	0.0062	6.1	6.0935	19.0
39.6923	6.67	4300	18.5776	6.0354	0.0062	6.0227	6.0103	19.0
39.6923	6.82	4400	18.2629	5.4438	0.0062	5.441	5.4629	19.0
36.1688	6.98	4500	18.0268	5.3214	0.0091	5.3093	5.2992	19.0
36.1688	7.13	4600	17.7740	5.2223	0.0123	5.2132	5.2084	19.0
36.1688	7.29	4700	17.5345	5.178	0.0231	5.1615	5.1243	19.0
36.1688	7.44	4800	17.3846	5.3899	0.0277	5.3414	5.3534	19.0
36.1688	7.6	4900	17.1999	5.315	0.0272	5.2572	5.2477	19.0
33.5745	7.75	5000	17.0078	5.9014	0.028	5.8181	5.8058	19.0
33.5745	7.91	5100	16.6418	5.7546	0.0242	5.6903	5.6746	19.0
33.5745	8.06	5200	16.6330	6.6893	0.0182	6.6354	6.6178	19.0
33.5745	8.22	5300	16.3423	6.1679	0.0072	6.1518	6.128	19.0
33.5745	8.37	5400	16.2373	6.7659	0.0139	6.7271	6.7076	19.0
31.9486	8.53	5500	16.1523	7.1991	0.0139	7.1674	7.1283	19.0
31.9486	8.68	5600	16.0607	7.7042	0.0169	7.6741	7.6537	19.0
31.9486	8.84	5700	15.7647	7.1238	0.02	7.1113	7.0586	19.0
31.9486	8.99	5800	15.6194	7.3055	0.0116	7.3311	7.2683	19.0
31.9486	9.15	5900	15.4994	7.3365	0.0139	7.3026	7.2708	19.0
30.5224	9.3	6000	15.4207	8.1959	0.0116	8.1917	8.1651	19.0
30.5224	9.46	6100	15.2981	7.7936	0.0144	7.7826	7.7488	19.0
30.5224	9.61	6200	15.2391	7.95	0.0144	7.9371	7.895	19.0
30.5224	9.77	6300	15.0941	7.1669	0.0144	7.146	7.1251	19.0
30.5224	9.92	6400	14.9979	6.2157	0.0076	6.2086	6.1774	19.0
29.1236	10.08	6500	14.9523	7.4422	0.0137	7.3929	7.393	19.0
29.1236	10.23	6600	14.9515	7.2375	0.0137	7.1728	7.1779	19.0
29.1236	10.39	6700	14.8874	7.5071	0.0068	7.4544	7.4739	19.0
29.1236	10.54	6800	14.8057	5.9608	0.0169	5.8754	5.8691	19.0
29.1236	10.7	6900	14.6818	5.6345	0.021	5.5422	5.5331	19.0
28.314	10.85	7000	14.5409	5.5799	0.0169	5.4915	5.4833	19.0
28.314	11.01	7100	14.4512	4.3498	0.0368	4.2243	4.2193	19.0
28.314	11.16	7200	14.4560	4.0453	0.0372	3.9481	3.9228	19.0
28.314	11.32	7300	14.3851	5.1332	0.0426	5.0186	4.9882	19.0
28.314	11.47	7400	14.2265	4.8944	0.0371	4.7869	4.7765	19.0
27.5349	11.63	7500	14.1214	3.8846	0.0335	3.7882	3.7677	19.0
27.5349	11.78	7600	14.1505	3.9992	0.0514	3.883	3.8385	19.0
27.5349	11.94	7700	13.9923	3.4526	0.0664	3.325	3.3258	19.0
27.5349	12.09	7800	14.0299	2.3086	0.0346	2.25	2.219	19.0
27.5349	12.25	7900	13.9814	2.4402	0.0628	2.3282	2.3004	19.0
26.4286	12.4	8000	13.8561	2.9869	0.0654	2.8769	2.8485	19.0
26.4286	12.56	8100	13.8259	1.9609	0.0386	1.8863	1.8846	19.0
26.4286	12.71	8200	13.8127	2.0628	0.0355	1.9915	1.9738	19.0
26.4286	12.87	8300	13.7174	1.9904	0.081	1.888	1.9069	19.0
26.4286	13.02	8400	13.6308	2.1398	0.1055	2.0204	2.0468	19.0
26.108	13.18	8500	13.6490	1.8934	0.0788	1.7942	1.8188	19.0
26.108	13.33	8600	13.5996	1.8746	0.0901	1.7441	1.8006	19.0
26.108	13.49	8700	13.5394	1.7846	0.0895	1.6648	1.7331	19.0
26.108	13.64	8800	13.5368	2.1345	0.1287	1.9808	2.0814	19.0
26.108	13.8	8900	13.4793	2.5234	0.1611	2.3289	2.4292	19.0
25.4931	13.95	9000	13.3633	2.8056	0.1953	2.5619	2.7088	19.0
25.4931	14.11	9100	13.5182	3.087	0.2192	2.8182	2.9928	19.0
25.4931	14.26	9200	13.3372	2.6353	0.175	2.4145	2.589	19.0
25.4931	14.42	9300	13.2822	2.7577	0.1905	2.5277	2.7215	19.0
25.4931	14.57	9400	13.2011	3.1891	0.2381	2.9276	3.142	19.0
24.9241	14.73	9500	13.2201	2.609	0.1683	2.4162	2.5905	19.0
24.9241	14.88	9600	13.2206	3.1083	0.2241	2.8627	3.0606	19.0
24.9241	15.04	9700	13.2157	3.6233	0.2731	3.338	3.5642	19.0
24.9241	15.19	9800	13.1195	3.1785	0.2318	2.9449	3.1306	19.0
24.9241	15.35	9900	13.0481	3.0249	0.2192	2.7991	2.9925	19.0
24.4511	15.5	10000	13.0693	3.1189	0.2287	2.8726	3.0669	19.0
24.4511	15.66	10100	12.9204	2.6405	0.1899	2.4337	2.61	19.0
24.4511	15.81	10200	12.9200	2.9037	0.2148	2.6775	2.8683	19.0
24.4511	15.97	10300	12.9203	2.8847	0.2034	2.6586	2.8438	19.0
24.4511	16.12	10400	12.8723	2.8195	0.1976	2.5922	2.7803	19.0
23.8949	16.28	10500	12.9749	3.2658	0.2217	2.9905	3.2262	19.0
23.8949	16.43	10600	12.7975	2.9762	0.1844	2.7295	2.9474	19.0
23.8949	16.59	10700	12.7497	2.5496	0.1406	2.3536	2.5269	19.0
23.8949	16.74	10800	12.6485	2.5509	0.1454	2.343	2.5182	19.0
23.8949	16.9	10900	12.6574	2.1914	0.1281	2.0113	2.1574	19.0
23.4963	17.05	11000	12.6919	2.1748	0.1299	1.9909	2.1229	19.0
23.4963	17.21	11100	12.5660	2.3751	0.1177	2.1417	2.326	19.0
23.4963	17.36	11200	12.5866	2.6893	0.1344	2.4378	2.6318	19.0
23.4963	17.52	11300	12.5427	2.5546	0.1411	2.3175	2.5073	19.0
23.4963	17.67	11400	12.5011	2.347	0.1223	2.1322	2.3077	19.0
23.1492	17.83	11500	12.5168	2.2304	0.1141	2.0657	2.1951	19.0
23.1492	17.98	11600	12.4043	2.4485	0.1209	2.2548	2.4114	19.0
23.1492	18.14	11700	12.4192	2.0551	0.0887	1.8996	2.0199	19.0
23.1492	18.29	11800	12.3799	2.1076	0.0932	1.9464	2.0589	19.0
23.1492	18.45	11900	12.4263	2.4136	0.1152	2.2172	2.357	19.0
22.7005	18.6	12000	12.3218	2.1197	0.1105	1.9997	2.0873	19.0
22.7005	18.76	12100	12.3297	2.1883	0.1102	2.0414	2.1267	19.0
22.7005	18.91	12200	12.3026	1.966	0.0954	1.8387	1.9469	19.0
22.7005	19.07	12300	12.3030	2.0179	0.0955	1.8834	1.9858	19.0
22.7005	19.22	12400	12.2478	1.9549	0.0948	1.8437	1.9092	19.0
22.3178	19.38	12500	12.1803	1.6396	0.0648	1.5296	1.6208	19.0
22.3178	19.53	12600	12.1732	1.5568	0.0769	1.4894	1.5387	19.0
22.3178	19.69	12700	12.1342	1.6861	0.0782	1.6105	1.666	19.0
22.3178	19.84	12800	12.1313	2.023	0.0965	1.9295	2.0072	19.0
22.3178	20.0	12900	12.1315	1.5878	0.0701	1.5153	1.5467	19.0
21.8344	20.16	13000	12.0611	1.6406	0.0637	1.5665	1.6033	19.0
21.8344	20.31	13100	12.0327	1.5913	0.0544	1.5209	1.552	19.0
21.8344	20.47	13200	12.0466	1.3618	0.0494	1.3186	1.33	19.0
21.8344	20.62	13300	12.0787	1.4445	0.0451	1.4073	1.41	19.0
21.8344	20.78	13400	11.9829	1.3465	0.0494	1.3247	1.3167	19.0
21.6309	20.93	13500	11.9072	1.4165	0.0519	1.3761	1.3839	19.0
21.6309	21.09	13600	11.9261	1.3969	0.0502	1.3606	1.3618	19.0
21.6309	21.24	13700	11.8313	1.3337	0.0337	1.2974	1.316	19.0
21.6309	21.4	13800	11.7709	1.3045	0.0371	1.2746	1.2889	19.0
21.6309	21.55	13900	11.8402	1.6106	0.0391	1.5678	1.5697	19.0
21.2262	21.71	14000	11.7132	1.3261	0.0222	1.296	1.3051	19.0
21.2262	21.86	14100	11.7206	1.41	0.0252	1.374	1.3985	19.0
21.2262	22.02	14200	11.7033	1.6231	0.0478	1.5632	1.5851	19.0
21.2262	22.17	14300	11.7385	1.8974	0.0618	1.8339	1.8583	19.0
21.2262	22.33	14400	11.6519	1.8998	0.0541	1.8285	1.8552	19.0
20.8055	22.48	14500	11.6039	1.9561	0.0582	1.859	1.9073	19.0
20.8055	22.64	14600	11.6322	1.7731	0.0442	1.7061	1.7303	19.0
20.8055	22.79	14700	11.6046	1.8874	0.0618	1.8083	1.8539	19.0
20.8055	22.95	14800	11.5051	1.4271	0.016	1.3996	1.4086	19.0
20.8055	23.1	14900	11.5564	1.743	0.0451	1.6787	1.727	19.0
20.6263	23.26	15000	11.5024	1.9313	0.0575	1.8357	1.887	19.0
20.6263	23.41	15100	11.5281	2.082	0.0435	1.9865	2.0327	19.0
20.6263	23.57	15200	11.4223	1.9773	0.0332	1.9038	1.9432	19.0
20.6263	23.72	15300	11.4675	1.7845	0.0831	1.6835	1.7414	19.0
20.6263	23.88	15400	11.3882	2.1183	0.0715	1.9965	2.0725	19.0
20.3154	24.03	15500	11.4197	2.4045	0.1336	2.2302	2.3024	19.0
20.3154	24.19	15600	11.3558	1.9596	0.1196	1.8152	1.8748	19.0
20.3154	24.34	15700	11.3438	2.0931	0.111	1.9469	1.999	19.0
20.3154	24.5	15800	11.3021	2.2159	0.1257	2.0511	2.1345	19.0
20.3154	24.65	15900	11.3178	2.093	0.132	1.9083	1.9969	19.0
20.0858	24.81	16000	11.2377	1.6589	0.1129	1.5625	1.6245	19.0
20.0858	24.96	16100	11.2058	1.6667	0.0854	1.5597	1.6223	19.0
20.0858	25.12	16200	11.1602	2.0907	0.1219	1.9297	1.9988	19.0
20.0858	25.27	16300	11.1666	1.86	0.1092	1.7398	1.7993	19.0
20.0858	25.43	16400	11.1807	1.8879	0.1818	1.7579	1.8335	19.0
19.7588	25.58	16500	11.1310	2.0377	0.1612	1.8653	1.9538	19.0
19.7588	25.74	16600	11.1577	2.1441	0.1767	1.9546	2.0518	19.0
19.7588	25.89	16700	11.0748	1.8679	0.1892	1.7249	1.7822	19.0
19.7588	26.05	16800	11.1048	2.2775	0.2072	2.0566	2.1521	19.0
19.7588	26.2	16900	11.0498	1.8117	0.161	1.6879	1.7357	19.0
19.4627	26.36	17000	11.0435	1.7875	0.1627	1.6626	1.7306	19.0
19.4627	26.51	17100	10.9406	1.7333	0.1645	1.6051	1.6671	19.0
19.4627	26.67	17200	10.9242	1.596	0.1426	1.4747	1.5341	19.0
19.4627	26.82	17300	10.9571	1.9874	0.2109	1.8109	1.9061	19.0
19.4627	26.98	17400	10.9265	1.6999	0.1353	1.5574	1.6402	19.0
19.2619	27.13	17500	10.8919	1.7543	0.1709	1.587	1.6605	19.0
19.2619	27.29	17600	10.8382	2.126	0.2056	1.8609	2.0021	19.0
19.2619	27.44	17700	10.8936	1.9626	0.1726	1.7402	1.8665	19.0
19.2619	27.6	17800	10.8565	1.7668	0.1673	1.5914	1.7099	19.0
19.2619	27.75	17900	10.9047	2.0972	0.1867	1.8519	2.0224	19.0
19.0457	27.91	18000	10.7900	2.7761	0.2904	2.4403	2.6936	19.0
19.0457	28.06	18100	10.7191	2.3652	0.2431	2.0989	2.2767	19.0
19.0457	28.22	18200	10.7462	3.3125	0.361	2.847	3.1506	19.0
19.0457	28.37	18300	10.7721	2.9247	0.3	2.5443	2.806	19.0
19.0457	28.53	18400	10.7208	2.5398	0.2812	2.2211	2.4312	19.0
18.8301	28.68	18500	10.6708	2.5902	0.281	2.2765	2.4881	19.0
18.8301	28.84	18600	10.7220	2.276	0.2061	1.9904	2.1922	19.0
18.8301	28.99	18700	10.6855	2.8678	0.3496	2.52	2.751	19.0
18.8301	29.15	18800	10.6550	2.5232	0.2724	2.2108	2.4314	19.0
18.8301	29.3	18900	10.6488	2.5629	0.2203	2.2361	2.4261	19.0
18.5872	29.46	19000	10.6123	2.5052	0.1923	2.1381	2.3821	19.0
18.5872	29.61	19100	10.6105	3.7779	0.3653	3.2404	3.5759	19.0
18.5872	29.77	19200	10.5823	3.8282	0.3743	3.2645	3.6077	19.0
18.5872	29.92	19300	10.5606	3.0976	0.277	2.6041	2.8838	19.0
18.5872	30.08	19400	10.5846	3.638	0.3482	3.0804	3.4294	19.0
18.2839	30.23	19500	10.4722	2.6173	0.2326	2.2268	2.4656	19.0
18.2839	30.39	19600	10.5211	3.5085	0.3377	2.9751	3.2889	19.0
18.2839	30.54	19700	10.4735	2.4781	0.2097	2.1099	2.3338	19.0
18.2839	30.7	19800	10.4545	3.1459	0.3022	2.6844	2.9559	19.0
18.2839	30.85	19900	10.4525	3.6095	0.3637	3.0873	3.3886	19.0
18.1352	31.01	20000	10.4409	4.0556	0.4621	3.3857	3.7778	19.0
18.1352	31.16	20100	10.4132	3.8346	0.3863	3.2323	3.6266	19.0
18.1352	31.32	20200	10.4468	2.3736	0.1977	2.0195	2.236	19.0
18.1352	31.47	20300	10.3896	3.6954	0.3512	3.1402	3.4667	19.0
18.1352	31.63	20400	10.3546	3.5158	0.3558	3.0575	3.3116	19.0
17.9834	31.78	20500	10.3632	3.179	0.3374	2.7634	2.9846	19.0
17.9834	31.94	20600	10.3168	3.9121	0.4012	3.3812	3.687	19.0
17.9834	32.09	20700	10.2772	3.6148	0.3667	3.1059	3.3541	19.0
17.9834	32.25	20800	10.3173	3.1448	0.2924	2.6948	2.9338	19.0
17.9834	32.4	20900	10.2154	2.4611	0.1922	2.1597	2.3288	19.0
17.6192	32.56	21000	10.2957	3.3177	0.3762	2.8085	3.0595	19.0
17.6192	32.71	21100	10.2064	3.4663	0.3819	3.0229	3.2201	19.0
17.6192	32.87	21200	10.2235	3.245	0.3179	2.7618	3.0066	19.0
17.6192	33.02	21300	10.2193	2.5572	0.2775	2.216	2.3892	19.0
17.6192	33.18	21400	10.2467	3.4873	0.3934	3.02	3.2701	19.0
17.5532	33.33	21500	10.2378	2.8087	0.3049	2.4001	2.6218	19.0
17.5532	33.49	21600	10.2086	3.8967	0.4801	3.3678	3.603	19.0
17.5532	33.64	21700	10.2384	2.6534	0.3239	2.3276	2.4692	19.0
17.5532	33.8	21800	10.1929	2.6025	0.2845	2.2653	2.4507	19.0
17.5532	33.95	21900	10.1016	3.3244	0.377	2.8311	3.0784	19.0
17.3872	34.11	22000	10.1407	3.4245	0.4024	3.044	3.1865	19.0
17.3872	34.26	22100	10.0760	3.9251	0.4272	3.4064	3.6497	19.0
17.3872	34.42	22200	10.0998	3.3034	0.3438	2.8977	3.1141	19.0
17.3872	34.57	22300	10.0834	2.4967	0.266	2.2301	2.3647	19.0
17.3872	34.73	22400	9.9902	4.0828	0.4867	3.5482	3.7861	19.0
17.1744	34.88	22500	10.0366	3.5772	0.4377	3.1153	3.3199	19.0
17.1744	35.04	22600	10.0299	3.5342	0.433	3.0501	3.2176	19.0
17.1744	35.19	22700	9.9912	3.7754	0.4445	3.3191	3.502	19.0
17.1744	35.35	22800	9.9580	4.5086	0.5514	3.8986	4.1987	19.0
17.1744	35.5	22900	9.9676	3.526	0.3942	3.0859	3.3082	19.0
17.0687	35.66	23000	9.9874	3.7058	0.5139	3.2353	3.4611	19.0
17.0687	35.81	23100	9.9536	3.6588	0.4552	3.1591	3.3554	19.0
17.0687	35.97	23200	9.8948	3.6279	0.3933	3.1403	3.3426	19.0
17.0687	36.12	23300	9.8397	3.8101	0.4971	3.3152	3.5133	19.0
17.0687	36.28	23400	9.8995	3.3201	0.4209	2.9101	3.0903	19.0
16.7686	36.43	23500	9.9085	4.0108	0.6389	3.5055	3.7286	19.0
16.7686	36.59	23600	9.8688	3.6051	0.5164	3.1651	3.3781	19.0
16.7686	36.74	23700	9.8673	4.4987	0.6051	3.8789	4.1868	19.0
16.7686	36.9	23800	9.8848	3.6926	0.5635	3.1681	3.3902	19.0
16.7686	37.05	23900	9.8497	3.518	0.4283	3.1159	3.3112	19.0
16.7432	37.21	24000	9.8044	3.3369	0.3772	2.9784	3.147	19.0
16.7432	37.36	24100	9.7768	3.5862	0.3819	3.1273	3.3535	19.0
16.7432	37.52	24200	9.7536	4.1823	0.5884	3.645	3.8843	19.0
16.7432	37.67	24300	9.7953	4.3981	0.6441	3.7941	4.0623	19.0
16.7432	37.83	24400	9.6742	3.7833	0.4755	3.3516	3.5543	19.0
16.5714	37.98	24500	9.7946	3.3839	0.495	3.0021	3.156	19.0
16.5714	38.14	24600	9.7544	4.3873	0.6486	3.8188	4.0653	19.0
16.5714	38.29	24700	9.7586	3.4403	0.4756	3.0402	3.2405	19.0
16.5714	38.45	24800	9.7895	3.6822	0.6247	3.2612	3.4746	19.0
16.5714	38.6	24900	9.6964	3.8743	0.6209	3.4159	3.6051	19.0
16.3393	38.76	25000	9.7190	4.1508	0.635	3.5925	3.8753	19.0
16.3393	38.91	25100	9.6435	3.6755	0.4777	3.268	3.4572	19.0
16.3393	39.07	25200	9.6390	2.9478	0.4049	2.6531	2.7782	19.0
16.3393	39.22	25300	9.6300	2.9973	0.3897	2.6662	2.7943	19.0
16.3393	39.38	25400	9.6229	3.6726	0.4182	3.2207	3.4595	19.0
16.3076	39.53	25500	9.6392	2.9691	0.3692	2.6709	2.8182	19.0
16.3076	39.69	25600	9.5978	2.8167	0.3437	2.593	2.7155	19.0
16.3076	39.84	25700	9.6111	3.5135	0.5453	3.1415	3.3042	19.0
16.3076	40.0	25800	9.6118	3.459	0.4963	3.1351	3.2809	19.0
16.3076	40.16	25900	9.5994	3.5735	0.539	3.2556	3.3904	19.0
16.0684	40.31	26000	9.5526	3.3388	0.4689	2.9753	3.1562	19.0
16.0684	40.47	26100	9.5365	3.0882	0.392	2.8072	2.9556	19.0
16.0684	40.62	26200	9.5571	3.0022	0.4109	2.7108	2.8575	19.0
16.0684	40.78	26300	9.5240	3.506	0.5734	3.1577	3.3378	19.0
16.0684	40.93	26400	9.4913	3.5936	0.5165	3.2452	3.4134	19.0
15.9425	41.09	26500	9.5297	3.7802	0.6862	3.4061	3.5436	19.0
15.9425	41.24	26600	9.4657	3.8433	0.6105	3.4621	3.638	19.0
15.9425	41.4	26700	9.5049	3.5822	0.6462	3.231	3.3745	19.0
15.9425	41.55	26800	9.4739	2.9668	0.4426	2.7345	2.8134	19.0
15.9425	41.71	26900	9.4868	3.7458	0.6934	3.3708	3.5492	19.0
15.7779	41.86	27000	9.4683	3.5254	0.6006	3.1629	3.3011	19.0
15.7779	42.02	27100	9.4108	4.2731	0.7412	3.8236	4.0171	19.0
15.7779	42.17	27200	9.3994	3.5014	0.5738	3.1525	3.3306	19.0
15.7779	42.33	27300	9.3760	3.4929	0.4954	3.1402	3.3028	19.0
15.7779	42.48	27400	9.4201	4.2777	0.7152	3.7943	4.0349	19.0
15.7238	42.64	27500	9.3913	3.6489	0.6371	3.2903	3.4528	19.0
15.7238	42.79	27600	9.4269	3.5269	0.6042	3.2049	3.3528	19.0
15.7238	42.95	27700	9.3847	3.4735	0.5963	3.1522	3.2796	19.0
15.7238	43.1	27800	9.3474	3.8327	0.6428	3.406	3.5698	19.0
15.7238	43.26	27900	9.3293	3.5475	0.6313	3.1725	3.3367	19.0
15.5108	43.41	28000	9.3802	4.249	0.7997	3.7924	3.9849	19.0
15.5108	43.57	28100	9.2588	3.4476	0.4676	3.1758	3.2993	19.0
15.5108	43.72	28200	9.3447	4.0267	0.7081	3.6208	3.7957	19.0
15.5108	43.88	28300	9.2853	4.0105	0.7799	3.5848	3.7619	19.0
15.5108	44.03	28400	9.2753	3.1833	0.4678	2.9068	3.0168	19.0
15.4004	44.19	28500	9.2345	3.6778	0.5955	3.3212	3.4724	19.0
15.4004	44.34	28600	9.3130	3.9958	0.6892	3.5871	3.772	19.0
15.4004	44.5	28700	9.2984	4.1868	0.696	3.7194	3.9197	19.0
15.4004	44.65	28800	9.2722	3.8848	0.5914	3.5038	3.7022	19.0

Framework versions

Transformers 4.20.1
Pytorch 1.12.0
Datasets 2.3.2
Tokenizers 0.12.1

saekomdalkom/long-t5-local-base-finetuned

long-t5-local-base-finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Seed this model