README.md

step	Training Loss	Validation Loss	Accuracy
100	1.408000	2.027748	0.157143
200	3.115200	1.903195	0.264286
300	1.391100	1.747969	0.292857
400	1.939900	1.880145	0.260714
500	1.430700	1.627666	0.385714
600	2.042500	1.640029	0.378571
700	2.244100	1.665656	0.414286
800	1.382800	1.393861	0.442857
900	0.041200	1.501603	0.392857
1000	0.997600	1.547526	0.471429
1100	0.851200	1.427456	0.510714
1200	0.030400	1.371201	0.546429
1300	0.015900	1.251728	0.575000
1400	0.661500	1.452044	0.542857
1500	1.753200	1.673231	0.553571
1600	0.543100	1.374431	0.560714
1700	0.223200	1.466555	0.564286
1800	4.417000	2.020453	0.582143
1900	1.420700	1.788945	0.575000
2000	0.059900	1.279900	0.696429
2100	0.004900	1.520277	0.610714
2200	0.067500	1.465420	0.621429
2300	0.010000	1.283547	0.710714
2400	3.950700	1.684178	0.635714
2500	0.001800	1.535846	0.675000
2600	0.062600	1.461411	0.685714
2700	0.000800	1.647843	0.692857
2800	0.018900	1.565477	0.685714
2900	0.783800	1.612781	0.710714
3000	0.027400	1.620468	0.703571
3100	0.000300	1.756414	0.685714
3200	0.000700	1.941203	0.682143
3300	0.000200	1.673942	0.717857
3400	0.000300	1.576283	0.710714
3500	0.000400	1.698424	0.707143
3600	0.000800	1.714727	0.700000
3700	0.000400	1.731099	0.714286
3800	0.000200	1.784098	0.707143
3900	0.000400	1.781287	0.714286
4000	0.000600	1.686473	0.710714
4100	0.000600	1.682677	0.714286
4200	0.000200	1.679403	0.707143
4300	0.000300	1.664588	0.710714
4400	0.003700	1.596243	0.725000

	precision	recall	f1-score	support
anger	0.97	0.86	0.92	44
disgust	0.71	0.78	0.74	37
enthusiasm	0.51	0.80	0.62	40
fear	0.80	0.62	0.70	45
happiness	0.66	0.70	0.68	44
neutral	0.81	0.66	0.72	38
sadness	0.79	0.59	0.68	32
accuracy	0.72	280	0.442857
macro avg	0.75	0.72	0.72	280
weighted avg	0.75	0.72	0.73	280