segformer-b0-finetuned-suim

This model is a fine-tuned version of nvidia/mit-b0 on the SatwikKambham/suim dataset. It achieves the following results on the evaluation set:

• Loss: 0.5044
• Mean Iou: 0.6138
• Mean Accuracy: 0.7713
• Overall Accuracy: 0.8213
• Accuracy Background (waterbody): nan
• Accuracy Human divers: 0.9139
• Accuracy Aquatic plants and sea-grass: 0.2842
• Accuracy Wrecks and ruins: 0.8156
• Accuracy Robots (auvs/rovs/instruments): 0.8117
• Accuracy Reefs and invertebrates: 0.9098
• Accuracy Fish and vertebrates: 0.8540
• Accuracy Sea-floor and rocks: 0.8096
• Iou Background (waterbody): 0.0
• Iou Human divers: 0.8428
• Iou Aquatic plants and sea-grass: 0.2638
• Iou Wrecks and ruins: 0.7560
• Iou Robots (auvs/rovs/instruments): 0.7896
• Iou Reefs and invertebrates: 0.7482
• Iou Fish and vertebrates: 0.7927
• Iou Sea-floor and rocks: 0.7176

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: 5e-05
• 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
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Background (waterbody)	Accuracy Human divers	Accuracy Aquatic plants and sea-grass	Accuracy Wrecks and ruins	Accuracy Robots (auvs/rovs/instruments)	Accuracy Reefs and invertebrates	Accuracy Fish and vertebrates	Accuracy Sea-floor and rocks	Iou Background (waterbody)	Iou Human divers	Iou Aquatic plants and sea-grass	Iou Wrecks and ruins	Iou Robots (auvs/rovs/instruments)	Iou Reefs and invertebrates	Iou Fish and vertebrates	Iou Sea-floor and rocks
1.1911	0.54	100	0.9270	0.3052	0.4434	0.6401	nan	0.2785	0.0	0.6857	0.0	0.7643	0.7044	0.6709	0.0	0.2555	0.0	0.4605	0.0	0.6111	0.5394	0.5753
0.6852	1.08	200	0.7299	0.3457	0.4967	0.7065	nan	0.3429	0.0	0.8033	0.0	0.7829	0.7653	0.7826	0.0	0.3126	0.0	0.5458	0.0	0.6336	0.5961	0.6776
0.854	1.61	300	0.7453	0.3420	0.4937	0.6506	nan	0.5488	0.0	0.7778	0.0	0.6528	0.7659	0.7103	0.0	0.4867	0.0	0.5156	0.0	0.5619	0.6180	0.5536
0.5111	2.15	400	0.6174	0.3920	0.5455	0.7207	nan	0.7475	0.0	0.6988	0.0	0.8364	0.7907	0.7449	0.0	0.5704	0.0	0.5986	0.0	0.6422	0.6796	0.6451
0.5311	2.69	500	0.5811	0.4084	0.5606	0.7368	nan	0.7697	0.0	0.7729	0.0	0.8658	0.7824	0.7333	0.0	0.6522	0.0	0.6000	0.0	0.6551	0.7045	0.6555
0.5595	3.23	600	0.5591	0.4165	0.5686	0.7420	nan	0.8291	0.0	0.7557	0.0	0.8848	0.7805	0.7299	0.0	0.6524	0.0	0.6536	0.0	0.6760	0.7011	0.6489
0.6847	3.76	700	0.5657	0.4068	0.5740	0.7336	nan	0.8233	0.0	0.8490	0.0	0.8649	0.8157	0.6648	0.0	0.6575	0.0	0.5982	0.0	0.6532	0.7179	0.6277
0.3272	4.3	800	0.5065	0.4309	0.5838	0.7573	nan	0.7906	0.0	0.8117	0.0467	0.8729	0.8021	0.7629	0.0	0.6564	0.0	0.6608	0.0467	0.6666	0.7242	0.6925
0.5065	4.84	900	0.4745	0.4420	0.5978	0.7675	nan	0.7969	0.0000	0.8235	0.0879	0.8301	0.8187	0.8273	0.0	0.6668	0.0000	0.6834	0.0879	0.6847	0.7247	0.6882
0.3712	5.38	1000	0.4567	0.4691	0.6296	0.7824	nan	0.8468	0.0004	0.7933	0.2299	0.9005	0.8431	0.7929	0.0	0.6829	0.0004	0.7036	0.2298	0.6852	0.7381	0.7125
0.6866	5.91	1100	0.4453	0.5352	0.6932	0.7843	nan	0.8487	0.0236	0.8462	0.6450	0.8373	0.8198	0.8317	0.0	0.7810	0.0227	0.7122	0.6437	0.6768	0.7454	0.7001
0.4374	6.45	1200	0.4806	0.5279	0.6836	0.7705	nan	0.8392	0.1452	0.7508	0.5700	0.8615	0.8452	0.7732	0.0	0.7349	0.1403	0.6883	0.5638	0.6990	0.7439	0.6532
0.5409	6.99	1300	0.4671	0.5403	0.6987	0.7768	nan	0.8636	0.0181	0.7956	0.7149	0.8739	0.8502	0.7746	0.0	0.7666	0.0179	0.7256	0.7072	0.6748	0.7473	0.6834
0.3526	7.53	1400	0.4691	0.5517	0.7168	0.7811	nan	0.8670	0.2005	0.8345	0.6704	0.8837	0.8260	0.7353	0.0	0.7791	0.1891	0.6723	0.6687	0.6845	0.7447	0.6752
0.2883	8.06	1500	0.4418	0.5744	0.7341	0.8013	nan	0.8526	0.2870	0.7820	0.6996	0.8971	0.8211	0.7993	0.0	0.7654	0.2764	0.7106	0.6901	0.6891	0.7557	0.7081
0.645	8.6	1600	0.4597	0.5730	0.7375	0.7945	nan	0.8874	0.1758	0.8621	0.7514	0.8888	0.8442	0.7530	0.0	0.8018	0.1683	0.7251	0.7413	0.7048	0.7556	0.6869
0.2953	9.14	1700	0.4279	0.5967	0.7596	0.8068	nan	0.8210	0.4181	0.8465	0.7328	0.8293	0.8410	0.8285	0.0	0.7607	0.3735	0.7601	0.7259	0.7098	0.7495	0.6944
0.3441	9.68	1800	0.4727	0.5662	0.7387	0.7701	nan	0.8660	0.2776	0.8603	0.7675	0.6688	0.8444	0.8867	0.0	0.7965	0.2577	0.7043	0.7602	0.6180	0.7374	0.6556
0.4354	10.22	1900	0.4499	0.5868	0.7466	0.8000	nan	0.7931	0.3488	0.8160	0.7521	0.8689	0.8599	0.7876	0.0	0.7399	0.3263	0.7469	0.7342	0.7090	0.7542	0.6836
0.3476	10.75	2000	0.4732	0.5468	0.7053	0.7802	nan	0.8976	0.0416	0.8285	0.6882	0.8939	0.8447	0.7426	0.0	0.8055	0.0402	0.7180	0.6837	0.6855	0.7632	0.6781
0.3416	11.29	2100	0.4553	0.5745	0.7342	0.7949	nan	0.8803	0.1754	0.7792	0.7736	0.9134	0.8551	0.7625	0.0	0.8009	0.1632	0.7275	0.7484	0.6939	0.7627	0.6996
0.157	11.83	2200	0.4684	0.5814	0.7432	0.7927	nan	0.8915	0.2169	0.8390	0.7693	0.8894	0.8532	0.7434	0.0	0.8147	0.2091	0.7275	0.7518	0.7105	0.7707	0.6666
0.1665	12.37	2300	0.4369	0.6031	0.7710	0.8076	nan	0.9014	0.3852	0.8488	0.7526	0.8590	0.8721	0.7780	0.0	0.8264	0.3500	0.7249	0.7403	0.7166	0.7678	0.6990
0.3426	12.9	2400	0.4458	0.5814	0.7495	0.7925	nan	0.8842	0.2608	0.8393	0.7845	0.8458	0.8491	0.7826	0.0	0.8201	0.2433	0.6979	0.7533	0.6987	0.7597	0.6779
0.2268	13.44	2500	0.4612	0.5776	0.7355	0.7929	nan	0.8722	0.1872	0.7989	0.7789	0.8675	0.8461	0.7978	0.0	0.7964	0.1755	0.7478	0.7551	0.7139	0.7654	0.6665
0.3108	13.98	2600	0.4449	0.5926	0.7490	0.8112	nan	0.8756	0.2111	0.8021	0.7897	0.8921	0.8473	0.8256	0.0	0.8106	0.2007	0.7520	0.7736	0.7287	0.7737	0.7017
0.1832	14.52	2700	0.4271	0.6254	0.7965	0.8277	nan	0.8930	0.5784	0.7930	0.7627	0.8712	0.8446	0.8323	0.0	0.8085	0.4667	0.7385	0.7489	0.7402	0.7689	0.7312
0.1784	15.05	2800	0.4531	0.5858	0.7448	0.7987	nan	0.9073	0.2227	0.7956	0.7764	0.8722	0.8323	0.8069	0.0	0.8232	0.2077	0.7337	0.7556	0.7050	0.7734	0.6880
0.2532	15.59	2900	0.4925	0.5712	0.7273	0.7948	nan	0.9059	0.0955	0.8082	0.7507	0.9018	0.8558	0.7736	0.0	0.8223	0.0914	0.7457	0.7283	0.7327	0.7813	0.6678
0.2804	16.13	3000	0.4406	0.6236	0.7967	0.8169	nan	0.9282	0.5433	0.8292	0.7638	0.8782	0.8735	0.7609	0.0	0.8340	0.4822	0.7338	0.7438	0.7286	0.7710	0.6958
0.2874	16.67	3100	0.4576	0.5876	0.7474	0.8073	nan	0.8891	0.1620	0.8209	0.7999	0.8955	0.8642	0.8001	0.0	0.8199	0.1544	0.7478	0.7678	0.7430	0.7774	0.6904
0.2731	17.2	3200	0.4212	0.6263	0.7914	0.8341	nan	0.9025	0.5544	0.7921	0.7143	0.9193	0.8514	0.8057	0.0	0.8120	0.4920	0.7327	0.6956	0.7547	0.7783	0.7447
0.1974	17.74	3300	0.4423	0.6215	0.7846	0.8138	nan	0.8722	0.4908	0.8068	0.8134	0.8748	0.8356	0.7988	0.0	0.8076	0.4451	0.7482	0.7737	0.7350	0.7671	0.6953
0.1833	18.28	3400	0.4207	0.6284	0.7944	0.8250	nan	0.8809	0.4986	0.8445	0.7943	0.8829	0.8643	0.7955	0.0	0.8206	0.4449	0.7446	0.7776	0.7421	0.7729	0.7244
0.1611	18.82	3500	0.4327	0.6085	0.7733	0.8244	nan	0.8563	0.4147	0.7980	0.7706	0.9201	0.8495	0.8041	0.0	0.7886	0.3657	0.7429	0.7326	0.7438	0.7712	0.7230
0.1339	19.35	3600	0.4795	0.5796	0.7369	0.7978	nan	0.8572	0.1929	0.7776	0.7929	0.9016	0.8480	0.7882	0.0	0.7934	0.1840	0.7334	0.7498	0.7296	0.7615	0.6848
0.1805	19.89	3700	0.4722	0.6137	0.7739	0.8134	nan	0.8924	0.3871	0.8223	0.7928	0.8949	0.8441	0.7836	0.0	0.8249	0.3603	0.7521	0.7557	0.7451	0.7728	0.6990
0.173	20.43	3800	0.4495	0.6170	0.7843	0.8230	nan	0.9220	0.3516	0.8189	0.8353	0.9090	0.8546	0.7988	0.0	0.8318	0.3314	0.7584	0.7729	0.7453	0.7761	0.7202
0.2476	20.97	3900	0.4426	0.6363	0.8007	0.8331	nan	0.9142	0.4724	0.8094	0.8448	0.9178	0.8330	0.8136	0.0	0.8485	0.4259	0.7481	0.8003	0.7454	0.7840	0.7380
0.3163	21.51	4000	0.4550	0.6337	0.8023	0.8273	nan	0.8808	0.5716	0.8209	0.8055	0.9199	0.8518	0.7655	0.0	0.8129	0.4923	0.7503	0.7815	0.7402	0.7748	0.7180
0.12	22.04	4100	0.4396	0.6142	0.7772	0.8249	nan	0.9254	0.2952	0.8118	0.8303	0.9143	0.8460	0.8174	0.0	0.8363	0.2724	0.7579	0.7875	0.7491	0.7787	0.7316
0.2351	22.58	4200	0.4622	0.6020	0.7612	0.8087	nan	0.8992	0.2520	0.8300	0.8150	0.8647	0.8478	0.8200	0.0	0.8366	0.2309	0.7655	0.7912	0.7260	0.7714	0.6945
0.106	23.12	4300	0.4570	0.6001	0.7624	0.8163	nan	0.8731	0.2566	0.7931	0.8358	0.8961	0.8514	0.8306	0.0	0.8110	0.2326	0.7431	0.7773	0.7413	0.7771	0.7182
0.2408	23.66	4400	0.4795	0.5944	0.7501	0.8138	nan	0.9040	0.1740	0.8437	0.7707	0.8980	0.8486	0.8115	0.0	0.8454	0.1631	0.7700	0.7579	0.7352	0.7742	0.7091
0.1285	24.19	4500	0.4311	0.6377	0.8055	0.8339	nan	0.9053	0.5473	0.8025	0.8113	0.9093	0.8567	0.8060	0.0	0.8279	0.4738	0.7405	0.7775	0.7588	0.7855	0.7380
0.2967	24.73	4600	0.4509	0.6273	0.7913	0.8209	nan	0.8998	0.4427	0.8456	0.8264	0.8666	0.8433	0.8146	0.0	0.8437	0.4058	0.7616	0.7873	0.7382	0.7723	0.7098
0.2716	25.27	4700	0.4708	0.6149	0.7815	0.8199	nan	0.8998	0.3343	0.8176	0.8528	0.9088	0.8668	0.7906	0.0	0.8345	0.3116	0.7546	0.7633	0.7474	0.7928	0.7152
0.2685	25.81	4800	0.4688	0.6166	0.7778	0.8135	nan	0.9177	0.3472	0.8437	0.8130	0.9059	0.8572	0.7598	0.0	0.8452	0.3205	0.7512	0.7864	0.7475	0.7879	0.6937
0.1678	26.34	4900	0.4833	0.6056	0.7701	0.8111	nan	0.9324	0.2775	0.8162	0.8232	0.8679	0.8571	0.8162	0.0	0.8521	0.2610	0.7384	0.7874	0.7107	0.7817	0.7138
0.1904	26.88	5000	0.4423	0.6367	0.8050	0.8313	nan	0.9204	0.5078	0.8254	0.8175	0.8890	0.8661	0.8091	0.0	0.8452	0.4385	0.7538	0.7841	0.7505	0.7884	0.7333
0.202	27.42	5100	0.4582	0.6143	0.7755	0.8206	nan	0.8995	0.2772	0.8510	0.8392	0.8871	0.8583	0.8159	0.0	0.8469	0.2557	0.7571	0.8076	0.7329	0.7852	0.7286
0.1242	27.96	5200	0.4692	0.6143	0.7766	0.8192	nan	0.8887	0.3377	0.8350	0.8156	0.8718	0.8649	0.8222	0.0	0.8302	0.3055	0.7600	0.7944	0.7255	0.7826	0.7164
0.1594	28.49	5300	0.4588	0.6187	0.7860	0.8190	nan	0.9347	0.3829	0.8410	0.8051	0.8479	0.8606	0.8297	0.0	0.8549	0.3390	0.7618	0.7801	0.7272	0.7862	0.7004
0.1414	29.03	5400	0.4591	0.6293	0.7923	0.8344	nan	0.9064	0.5202	0.8183	0.7327	0.9143	0.8469	0.8073	0.0	0.8323	0.4441	0.7449	0.7207	0.7524	0.7906	0.7496
0.1208	29.57	5500	0.4611	0.6370	0.8006	0.8280	nan	0.9187	0.5037	0.7983	0.8194	0.9176	0.8641	0.7823	0.0	0.8407	0.4436	0.7389	0.7951	0.7609	0.7936	0.7233
0.227	30.11	5600	0.4488	0.6304	0.7893	0.8314	nan	0.8984	0.4428	0.8197	0.7898	0.9108	0.8502	0.8135	0.0	0.8355	0.3967	0.7621	0.7707	0.7496	0.7875	0.7410
0.2627	30.65	5700	0.4513	0.6384	0.8022	0.8295	nan	0.8818	0.5132	0.8376	0.8269	0.9009	0.8641	0.7907	0.0	0.8304	0.4484	0.7652	0.8068	0.7548	0.7772	0.7245
0.1512	31.18	5800	0.4655	0.6151	0.7736	0.8222	nan	0.9195	0.3265	0.7978	0.8000	0.9074	0.8461	0.8181	0.0	0.8427	0.2993	0.7452	0.7803	0.7358	0.7824	0.7347
0.0861	31.72	5900	0.4754	0.6258	0.7850	0.8212	nan	0.9167	0.3799	0.8171	0.8288	0.9081	0.8549	0.7897	0.0	0.8467	0.3493	0.7586	0.8013	0.7459	0.7807	0.7235
0.1755	32.26	6000	0.5160	0.5938	0.7507	0.8166	nan	0.9229	0.1614	0.8288	0.7708	0.9159	0.8458	0.8096	0.0	0.8410	0.1522	0.7619	0.7540	0.7284	0.7849	0.7280
0.1556	32.8	6100	0.4894	0.6129	0.7734	0.8141	nan	0.8895	0.3034	0.8242	0.8482	0.8989	0.8603	0.7893	0.0	0.8294	0.2825	0.7532	0.8083	0.7317	0.7820	0.7158
0.0927	33.33	6200	0.4981	0.6298	0.7908	0.8216	nan	0.9017	0.4726	0.8020	0.8062	0.9026	0.8678	0.7829	0.0	0.8340	0.4196	0.7415	0.7908	0.7476	0.7910	0.7138
0.1746	33.87	6300	0.4925	0.6243	0.7844	0.8169	nan	0.9056	0.4036	0.8058	0.8331	0.8925	0.8574	0.7928	0.0	0.8421	0.3654	0.7480	0.8046	0.7419	0.7887	0.7037
0.2803	34.41	6400	0.5036	0.6192	0.7785	0.8179	nan	0.9037	0.4145	0.8096	0.7774	0.9187	0.8604	0.7655	0.0	0.8204	0.3805	0.7519	0.7603	0.7509	0.7855	0.7038
0.1777	34.95	6500	0.4886	0.6197	0.7787	0.8209	nan	0.9173	0.3337	0.8366	0.8071	0.9066	0.8615	0.7883	0.0	0.8405	0.3112	0.7654	0.7895	0.7486	0.7875	0.7149
0.1073	35.48	6600	0.4839	0.6271	0.7868	0.8245	nan	0.9297	0.3696	0.8335	0.8214	0.9102	0.8503	0.7930	0.0	0.8519	0.3424	0.7647	0.7957	0.7553	0.7908	0.7156
0.0958	36.02	6700	0.5011	0.6186	0.7744	0.8177	nan	0.9017	0.3398	0.8211	0.8092	0.8996	0.8509	0.7981	0.0	0.8383	0.3189	0.7575	0.7915	0.7508	0.7882	0.7037
0.1107	36.56	6800	0.4854	0.6291	0.7880	0.8229	nan	0.9108	0.3956	0.8209	0.8310	0.9093	0.8608	0.7876	0.0	0.8423	0.3649	0.7552	0.8064	0.7546	0.7949	0.7143
0.1541	37.1	6900	0.4965	0.6126	0.7684	0.8160	nan	0.9126	0.2968	0.7884	0.8303	0.9209	0.8291	0.8006	0.0	0.8398	0.2769	0.7381	0.8048	0.7358	0.7817	0.7240
0.445	37.63	7000	0.5060	0.6189	0.7769	0.8191	nan	0.9039	0.3292	0.8121	0.8313	0.9127	0.8582	0.7910	0.0	0.8355	0.3081	0.7533	0.8065	0.7455	0.7894	0.7132
0.2018	38.17	7100	0.5000	0.6144	0.7723	0.8270	nan	0.9077	0.2693	0.8312	0.8125	0.9103	0.8466	0.8282	0.0	0.8408	0.2498	0.7595	0.7957	0.7438	0.7901	0.7351
0.3123	38.71	7200	0.5074	0.6111	0.7691	0.8184	nan	0.9025	0.2503	0.8243	0.8337	0.8975	0.8623	0.8133	0.0	0.8378	0.2337	0.7602	0.8090	0.7412	0.7912	0.7153
0.1877	39.25	7300	0.5227	0.6147	0.7722	0.8159	nan	0.9113	0.3006	0.8216	0.8232	0.9182	0.8541	0.7766	0.0	0.8393	0.2827	0.7559	0.7979	0.7479	0.7922	0.7018
0.1139	39.78	7400	0.5134	0.6146	0.7727	0.8208	nan	0.9234	0.2839	0.8203	0.8118	0.9109	0.8565	0.8021	0.0	0.8449	0.2659	0.7558	0.7906	0.7470	0.7941	0.7181
0.2875	40.32	7500	0.4953	0.6309	0.7919	0.8246	nan	0.9165	0.4221	0.8274	0.8228	0.9026	0.8602	0.7917	0.0	0.8437	0.3822	0.7642	0.7975	0.7566	0.7930	0.7096
0.1543	40.86	7600	0.5131	0.6227	0.7814	0.8225	nan	0.9159	0.3537	0.8144	0.8157	0.9106	0.8651	0.7943	0.0	0.8452	0.3252	0.7587	0.7914	0.7537	0.7956	0.7120
0.0935	41.4	7700	0.4870	0.6333	0.7958	0.8326	nan	0.9115	0.4304	0.8214	0.8199	0.9069	0.8677	0.8127	0.0	0.8401	0.3865	0.7595	0.7926	0.7518	0.7931	0.7424
0.1449	41.94	7800	0.5064	0.6131	0.7718	0.8177	nan	0.9140	0.2785	0.8342	0.8206	0.9070	0.8563	0.7919	0.0	0.8467	0.2571	0.7621	0.7934	0.7425	0.7947	0.7085
0.196	42.47	7900	0.4914	0.6158	0.7747	0.8250	nan	0.9065	0.3182	0.8195	0.7971	0.9159	0.8592	0.8066	0.0	0.8378	0.2900	0.7554	0.7732	0.7429	0.7941	0.7334
0.0902	43.01	8000	0.5049	0.6092	0.7678	0.8156	nan	0.9207	0.2618	0.8027	0.8255	0.9075	0.8543	0.8020	0.0	0.8510	0.2407	0.7415	0.7976	0.7388	0.7934	0.7108
0.0981	43.55	8100	0.5101	0.6028	0.7602	0.8140	nan	0.9289	0.2040	0.8124	0.8145	0.9034	0.8485	0.8094	0.0	0.8519	0.1903	0.7504	0.7913	0.7421	0.7891	0.7070
0.0804	44.09	8200	0.5136	0.6187	0.7777	0.8179	nan	0.9224	0.3260	0.8225	0.8244	0.9141	0.8543	0.7800	0.0	0.8514	0.3008	0.7543	0.7957	0.7521	0.7924	0.7033
0.125	44.62	8300	0.5089	0.6182	0.7770	0.8184	nan	0.9165	0.3390	0.8121	0.8162	0.9054	0.8558	0.7939	0.0	0.8459	0.3079	0.7522	0.7915	0.7521	0.7904	0.7052
0.1567	45.16	8400	0.5128	0.6093	0.7676	0.8178	nan	0.9259	0.2550	0.8216	0.8056	0.9131	0.8573	0.7945	0.0	0.8460	0.2413	0.7548	0.7802	0.7473	0.7921	0.7124
0.1533	45.7	8500	0.5073	0.6144	0.7719	0.8183	nan	0.9250	0.3017	0.8238	0.7985	0.9106	0.8532	0.7905	0.0	0.8477	0.2807	0.7582	0.7781	0.7505	0.7924	0.7075
0.1264	46.24	8600	0.5117	0.6175	0.7771	0.8281	nan	0.9186	0.3045	0.8219	0.8005	0.9130	0.8633	0.8178	0.0	0.8426	0.2823	0.7565	0.7777	0.7496	0.7957	0.7358
0.196	46.77	8700	0.5079	0.6199	0.7785	0.8230	nan	0.9060	0.3527	0.8219	0.8023	0.9128	0.8590	0.7949	0.0	0.8362	0.3234	0.7564	0.7803	0.7515	0.7915	0.7200
0.1576	47.31	8800	0.5046	0.6192	0.7778	0.8236	nan	0.9132	0.3347	0.8159	0.8091	0.9072	0.8549	0.8096	0.0	0.8410	0.3079	0.7548	0.7871	0.7504	0.7915	0.7211
0.1362	47.85	8900	0.5086	0.6226	0.7815	0.8228	nan	0.9132	0.3548	0.8207	0.8199	0.9185	0.8555	0.7881	0.0	0.8427	0.3250	0.7574	0.7954	0.7543	0.7932	0.7124
0.1221	48.39	9000	0.5128	0.6172	0.7760	0.8201	nan	0.9197	0.3168	0.8285	0.8051	0.9096	0.8635	0.7887	0.0	0.8438	0.2946	0.7603	0.7838	0.7511	0.7937	0.7101
0.1495	48.92	9100	0.5083	0.6219	0.7808	0.8212	nan	0.9145	0.3516	0.8284	0.8180	0.9109	0.8546	0.7879	0.0	0.8451	0.3218	0.7593	0.7943	0.7525	0.7924	0.7096
0.2303	49.46	9200	0.5041	0.6165	0.7747	0.8238	nan	0.9155	0.3038	0.8206	0.8039	0.9129	0.8603	0.8058	0.0	0.8434	0.2804	0.7582	0.7845	0.7494	0.7953	0.7211
0.1028	50.0	9300	0.5044	0.6138	0.7713	0.8213	nan	0.9139	0.2842	0.8156	0.8117	0.9098	0.8540	0.8096	0.0	0.8428	0.2638	0.7560	0.7896	0.7482	0.7927	0.7176

Framework versions

• Transformers 4.33.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3