learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.6215	1.0	655	1.0384	0.8342
1.0518	2.0	1310	0.5333	0.8892
0.676	3.0	1965	0.3383	0.9228
0.3837	4.0	2620	0.2589	0.9373
0.3307	5.0	3275	0.2148	0.9415
0.2926	6.0	3930	0.1872	0.9492
0.2465	7.0	4585	0.1698	0.9530
0.2338	8.0	5240	0.1585	0.9553
0.2156	9.0	5895	0.1486	0.9599
0.2078	10.0	6550	0.1429	0.9603
0.2	11.0	7205	0.1392	0.9603
0.1973	12.0	7860	0.1362	0.9614
0.184	13.0	8515	0.1339	0.9622
0.1884	14.0	9170	0.1326	0.9622
0.1871	15.0	9825	0.1321	0.9618

vishnun0027/intent_classfication2

intent_classfication2