Training Loss	Epoch	Step	Validation Loss	Accuracy
0.699	0.08	50	0.6734	0.5467
0.6099	0.16	100	0.4322	0.8
0.4906	0.24	150	0.3861	0.84
0.4652	0.32	200	0.4288	0.7933
0.4874	0.4	250	0.3872	0.84
0.4735	0.48	300	0.3401	0.8667
0.3909	0.56	350	0.3484	0.84
0.4277	0.64	400	0.3207	0.88
0.3894	0.72	450	0.3310	0.8733
0.4523	0.8	500	0.3389	0.8667
0.4087	0.88	550	0.3515	0.8467
0.3973	0.96	600	0.3513	0.8467
0.4016	1.04	650	0.3501	0.8667
0.3613	1.12	700	0.3327	0.8667
0.343	1.2	750	0.3518	0.86
0.314	1.28	800	0.3555	0.88
0.3407	1.36	850	0.3849	0.86
0.2944	1.44	900	0.3576	0.8667
0.3267	1.52	950	0.3461	0.8733
0.3251	1.6	1000	0.3411	0.8667
0.321	1.68	1050	0.3371	0.88
0.3057	1.76	1100	0.3322	0.88
0.3335	1.84	1150	0.3106	0.8667
0.3363	1.92	1200	0.3158	0.8933
0.2972	2.0	1250	0.3122	0.88
0.2453	2.08	1300	0.3327	0.8867
0.2467	2.16	1350	0.3767	0.8667
0.273	2.24	1400	0.3549	0.8667
0.2672	2.32	1450	0.3470	0.88
0.2352	2.4	1500	0.4092	0.8667
0.2763	2.48	1550	0.3472	0.9
0.2858	2.56	1600	0.3440	0.9
0.2206	2.64	1650	0.3770	0.88
0.2928	2.72	1700	0.3280	0.8867
0.2478	2.8	1750	0.3426	0.8867
0.2362	2.88	1800	0.3578	0.8933
0.2107	2.96	1850	0.3986	0.8933
0.2191	3.04	1900	0.3819	0.8933
0.2267	3.12	1950	0.4047	0.8867
0.2076	3.2	2000	0.4303	0.8867
0.1868	3.28	2050	0.4385	0.8933
0.2239	3.36	2100	0.4175	0.8933
0.2082	3.44	2150	0.4142	0.8933
0.2423	3.52	2200	0.4002	0.8867
0.1878	3.6	2250	0.4662	0.88
0.1892	3.68	2300	0.4783	0.88
0.2259	3.76	2350	0.4487	0.88
0.1859	3.84	2400	0.4456	0.8933
0.2042	3.92	2450	0.4468	0.8933
0.2096	4.0	2500	0.4153	0.8867
0.178	4.08	2550	0.4100	0.8933
0.1621	4.16	2600	0.4292	0.8933
0.1682	4.24	2650	0.4602	0.8933
0.1813	4.32	2700	0.4680	0.8933
0.2033	4.4	2750	0.4735	0.8933
0.1662	4.48	2800	0.4750	0.88
0.1686	4.56	2850	0.4830	0.8933
0.1603	4.64	2900	0.4909	0.8933
0.148	4.72	2950	0.4784	0.8933
0.162	4.8	3000	0.4750	0.8867
0.153	4.88	3050	0.4759	0.8867
0.1657	4.96	3100	0.4796	0.8933

Framework versions

Transformers 4.24.0
Pytorch 1.13.0
Datasets 2.3.2
Tokenizers 0.13.1

pig4431/Sentiment140_roBERTa_5E

Sentiment140_roBERTa_5E

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pig4431/
Sentiment140_roBERTa_5E