learning_rate: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Confusion Matrix
0.9313	1.0	39	0.6319	0.923	0.906	[[21, 1, 0], [0, 7, 0], [1, 1, 8]]
0.6447	2.0	78	0.4791	0.923	0.918	[[19, 2, 1], [0, 7, 0], [0, 0, 10]]
0.5507	3.0	117	0.4099	0.897	0.883	[[19, 2, 1], [0, 7, 0], [0, 1, 9]]
0.4403	4.0	156	0.2977	0.949	0.942	[[20, 2, 0], [0, 7, 0], [0, 0, 10]]
0.3548	5.0	195	0.2557	0.897	0.881	[[20, 2, 0], [0, 7, 0], [1, 1, 8]]
0.3209	6.0	234	0.2620	0.897	0.881	[[20, 2, 0], [0, 7, 0], [1, 1, 8]]
0.3105	7.0	273	0.2280	0.949	0.942	[[20, 2, 0], [0, 7, 0], [0, 0, 10]]
0.2932	8.0	312	0.2310	0.923	0.918	[[20, 2, 0], [0, 7, 0], [1, 0, 9]]
0.2903	9.0	351	0.2543	0.923	0.917	[[19, 3, 0], [0, 7, 0], [0, 0, 10]]
0.2707	10.0	390	0.2299	0.949	0.942	[[20, 2, 0], [0, 7, 0], [0, 0, 10]]

nourrabee/intent_classifier

intent_classifier