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
1.647	1.0	655	1.0548	0.8502
1.0688	2.0	1310	0.5307	0.8945
0.683	3.0	1965	0.3331	0.9255
0.3873	4.0	2620	0.2548	0.9396
0.326	5.0	3275	0.2134	0.9480
0.29	6.0	3930	0.1842	0.9538
0.2409	7.0	4585	0.1675	0.9553
0.2292	8.0	5240	0.1594	0.9576
0.2217	9.0	5895	0.1492	0.9595
0.2029	10.0	6550	0.1433	0.9595
0.2036	11.0	7205	0.1369	0.9614
0.1865	12.0	7860	0.1347	0.9614
0.1899	13.0	8515	0.1327	0.9622
0.182	14.0	9170	0.1315	0.9622
0.181	15.0	9825	0.1313	0.9622

vishnun0027/intent_classfication

intent_classfication