MM-MM03

This model is a fine-tuned version of prajjwal1/bert-tiny on an unknown dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	0.0	50	0.6915	0.53	0.3672
No log	0.01	100	0.6923	0.53	0.3672
No log	0.01	150	0.6919	0.53	0.3672
No log	0.01	200	0.6923	0.54	0.4195
No log	0.02	250	0.6924	0.6	0.5777
No log	0.02	300	0.6908	0.54	0.3892
No log	0.03	350	0.6893	0.55	0.4104
No log	0.03	400	0.6911	0.57	0.5437
No log	0.03	450	0.6904	0.57	0.5482
0.6938	0.04	500	0.6981	0.47	0.3005
0.6938	0.04	550	0.6953	0.47	0.3005
0.6938	0.04	600	0.6891	0.56	0.5252
0.6938	0.05	650	0.6871	0.55	0.4817
0.6938	0.05	700	0.6898	0.56	0.4975
0.6938	0.06	750	0.6899	0.55	0.4817
0.6938	0.06	800	0.6906	0.51	0.5102
0.6938	0.06	850	0.6934	0.48	0.48
0.6938	0.07	900	0.6889	0.55	0.4817
0.6938	0.07	950	0.6996	0.47	0.3175
0.6929	0.07	1000	0.6894	0.59	0.5601
0.6929	0.08	1050	0.6941	0.5	0.4777
0.6929	0.08	1100	0.6927	0.49	0.4896
0.6929	0.08	1150	0.6916	0.49	0.4903
0.6929	0.09	1200	0.6874	0.56	0.5252
0.6929	0.09	1250	0.6872	0.57	0.5203