learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
label_smoothing_factor: 0.1

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
3.3242	0.1361	100	2.9016	0.5510	0.4600
2.1047	0.2721	200	1.7308	0.9109	0.9011
1.3316	0.4082	300	1.0783	0.9776	0.9773
0.9219	0.5442	400	0.8120	0.9905	0.9905
0.7627	0.6803	500	0.7448	0.9939	0.9939
0.7325	0.8163	600	0.7346	0.9959	0.9959
0.7239	0.9524	700	0.7223	0.9980	0.9980
0.7137	1.0884	800	0.7182	0.9980	0.9980
0.711	1.2245	900	0.7175	0.9966	0.9966
0.7103	1.3605	1000	0.7139	0.9986	0.9986
0.7088	1.4966	1100	0.7134	0.9973	0.9973
0.708	1.6327	1200	0.7131	0.9973	0.9973
0.7071	1.7687	1300	0.7102	0.9980	0.9980
0.7056	1.9048	1400	0.7096	0.9986	0.9986
0.7093	2.0408	1500	0.7081	0.9993	0.9993
0.7046	2.1769	1600	0.7069	0.9993	0.9993
0.705	2.3129	1700	0.7063	0.9993	0.9993
0.7035	2.4490	1800	0.7063	0.9993	0.9993
0.7041	2.5850	1900	0.7071	0.9993	0.9993
0.7033	2.7211	2000	0.7065	0.9993	0.9993

yaziedmoh/disabilityy_model_final

disabilityy_model_final