Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	2	0.4518	0.9531
No log	2.0	4	0.4575	0.9531
No log	3.0	6	0.4656	0.9531
No log	4.0	8	0.4755	0.9531
0.3146	5.0	10	0.5047	0.9375
0.3146	6.0	12	0.5491	0.9375
0.3146	7.0	14	0.5854	0.9375
0.3146	8.0	16	0.6060	0.9375
0.3146	9.0	18	0.6187	0.9375
0.2346	10.0	20	0.6304	0.9375
0.2346	11.0	22	0.6336	0.9375
0.2346	12.0	24	0.6359	0.9375
0.2346	13.0	26	0.6345	0.9375
0.2346	14.0	28	0.6333	0.9375
0.0633	15.0	30	0.6349	0.9375
0.0633	16.0	32	0.6359	0.9375
0.0633	17.0	34	0.6298	0.9375
0.0633	18.0	36	0.6191	0.9375
0.0633	19.0	38	0.6057	0.9375
0.0003	20.0	40	0.5963	0.9375
0.0003	21.0	42	0.5988	0.9375
0.0003	22.0	44	0.6050	0.9375
0.0003	23.0	46	0.6098	0.9375
0.0003	24.0	48	0.6134	0.9375
0.0	25.0	50	0.6160	0.9375
0.0	26.0	52	0.6177	0.9375
0.0	27.0	54	0.6187	0.9375
0.0	28.0	56	0.6190	0.9375
0.0	29.0	58	0.6189	0.9375
0.0	30.0	60	0.6186	0.9375
0.0	31.0	62	0.6179	0.9375
0.0	32.0	64	0.6172	0.9375
0.0	33.0	66	0.6161	0.9375
0.0	34.0	68	0.6151	0.9375
0.0	35.0	70	0.6140	0.9375
0.0	36.0	72	0.6128	0.9375
0.0	37.0	74	0.6116	0.9375
0.0	38.0	76	0.6104	0.9375
0.0	39.0	78	0.6091	0.9375
0.0	40.0	80	0.6079	0.9375
0.0	41.0	82	0.6066	0.9375
0.0	42.0	84	0.6054	0.9375
0.0	43.0	86	0.6041	0.9375
0.0	44.0	88	0.6029	0.9375
0.0	45.0	90	0.6018	0.9375
0.0	46.0	92	0.6006	0.9375
0.0	47.0	94	0.5996	0.9375
0.0	48.0	96	0.5986	0.9375
0.0	49.0	98	0.5977	0.9375
0.0	50.0	100	0.5968	0.9375
0.0	51.0	102	0.5959	0.9375
0.0	52.0	104	0.5951	0.9375
0.0	53.0	106	0.5943	0.9375
0.0	54.0	108	0.5937	0.9375
0.0	55.0	110	0.5931	0.9375
0.0	56.0	112	0.5925	0.9375
0.0	57.0	114	0.5918	0.9375
0.0	58.0	116	0.5912	0.9375
0.0	59.0	118	0.5906	0.9375
0.0	60.0	120	0.5899	0.9375
0.0	61.0	122	0.5894	0.9375
0.0	62.0	124	0.5890	0.9375
0.0	63.0	126	0.5886	0.9375
0.0	64.0	128	0.5881	0.9375
0.0	65.0	130	0.5878	0.9375
0.0	66.0	132	0.5874	0.9375
0.0	67.0	134	0.5872	0.9375
0.0	68.0	136	0.5871	0.9375
0.0	69.0	138	0.5872	0.9375
0.0	70.0	140	0.5871	0.9375
0.0	71.0	142	0.5872	0.9375
0.0	72.0	144	0.5872	0.9375
0.0	73.0	146	0.5872	0.9375
0.0	74.0	148	0.5873	0.9375
0.0	75.0	150	0.5873	0.9375
0.0	76.0	152	0.5875	0.9375
0.0	77.0	154	0.5875	0.9375
0.0	78.0	156	0.5876	0.9375
0.0	79.0	158	0.5877	0.9375
0.0	80.0	160	0.5879	0.9375
0.0	81.0	162	0.5881	0.9375
0.0	82.0	164	0.5883	0.9375
0.0	83.0	166	0.5884	0.9375
0.0	84.0	168	0.5885	0.9375
0.0	85.0	170	0.5887	0.9375
0.0	86.0	172	0.5887	0.9375
0.0	87.0	174	0.5886	0.9375
0.0	88.0	176	0.5888	0.9375
0.0	89.0	178	0.5887	0.9375
0.0	90.0	180	0.5885	0.9375
0.0	91.0	182	0.5884	0.9375
0.0	92.0	184	0.5882	0.9375
0.0	93.0	186	0.5880	0.9375
0.0	94.0	188	0.5879	0.9375
0.0	95.0	190	0.5878	0.9375
0.0	96.0	192	0.5876	0.9375
0.0	97.0	194	0.5874	0.9375
0.0	98.0	196	0.5873	0.9375
0.0	99.0	198	0.5872	0.9375
0.0	100.0	200	0.5870	0.9375
0.0	101.0	202	0.5870	0.9375
0.0	102.0	204	0.5870	0.9375
0.0	103.0	206	0.5868	0.9375
0.0	104.0	208	0.5866	0.9375
0.0	105.0	210	0.5866	0.9375
0.0	106.0	212	0.5867	0.9375
0.0	107.0	214	0.5867	0.9375
0.0	108.0	216	0.5867	0.9375
0.0	109.0	218	0.5867	0.9375
0.0	110.0	220	0.5869	0.9375
0.0	111.0	222	0.5870	0.9375
0.0	112.0	224	0.5870	0.9375
0.0	113.0	226	0.5872	0.9375
0.0	114.0	228	0.5877	0.9375
0.0	115.0	230	0.5881	0.9375
0.0	116.0	232	0.5885	0.9375
0.0	117.0	234	0.5888	0.9375
0.0	118.0	236	0.5891	0.9375
0.0	119.0	238	0.5894	0.9375
0.0	120.0	240	0.5897	0.9375
0.0	121.0	242	0.5899	0.9375
0.0	122.0	244	0.5900	0.9375
0.0	123.0	246	0.5901	0.9375
0.0	124.0	248	0.5903	0.9375
0.0	125.0	250	0.5903	0.9375
0.0	126.0	252	0.5906	0.9375
0.0	127.0	254	0.5908	0.9375
0.0	128.0	256	0.5909	0.9375
0.0	129.0	258	0.5911	0.9375
0.0	130.0	260	0.5914	0.9375
0.0	131.0	262	0.5916	0.9375
0.0	132.0	264	0.5918	0.9375
0.0	133.0	266	0.5922	0.9375
0.0	134.0	268	0.5922	0.9375
0.0	135.0	270	0.5924	0.9375
0.0	136.0	272	0.5925	0.9375
0.0	137.0	274	0.5923	0.9375
0.0	138.0	276	0.5923	0.9375
0.0	139.0	278	0.5922	0.9375
0.0	140.0	280	0.5920	0.9375
0.0	141.0	282	0.5921	0.9375
0.0	142.0	284	0.5922	0.9375
0.0	143.0	286	0.5921	0.9375
0.0	144.0	288	0.5921	0.9375
0.0	145.0	290	0.5922	0.9375
0.0	146.0	292	0.5924	0.9375
0.0	147.0	294	0.5926	0.9375
0.0	148.0	296	0.5927	0.9375
0.0	149.0	298	0.5929	0.9375
0.0	150.0	300	0.5929	0.9375

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.4.0
Tokenizers 0.13.3

simonycl/best_model-yelp_polarity-32-87

best_model-yelp_polarity-32-87

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

simonycl/
best_model-yelp_polarity-32-87