Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 30

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.65	1.0	12	1.5637	0.3462
1.5819	2.0	24	1.4962	0.3269
1.4527	3.0	36	1.3413	0.4615
1.2853	4.0	48	1.2034	0.4423
1.0185	5.0	60	1.1204	0.4808
0.8102	6.0	72	1.1004	0.4808
0.7477	7.0	84	1.1705	0.4808
0.6684	8.0	96	1.0245	0.5192
0.6297	9.0	108	1.0010	0.5577
0.5453	10.0	120	1.1905	0.4808
0.5496	11.0	132	1.1227	0.4808
0.4993	12.0	144	0.9619	0.5577
0.4297	13.0	156	1.0743	0.5192
0.4459	14.0	168	1.0195	0.5577
0.4219	15.0	180	1.0888	0.5
0.3742	16.0	192	1.0123	0.5769
0.4603	17.0	204	1.0503	0.5192
0.3607	18.0	216	1.1305	0.5577
0.3399	19.0	228	1.1327	0.5385
0.3422	20.0	240	1.1125	0.5192
0.3254	21.0	252	1.0243	0.5769
0.3363	22.0	264	1.0753	0.5577
0.3203	23.0	276	1.0778	0.5577
0.3248	24.0	288	1.1100	0.5385
0.2446	25.0	300	1.0773	0.5577
0.3058	26.0	312	1.0875	0.5769
0.254	27.0	324	1.0673	0.5769
0.2644	28.0	336	1.1026	0.5769
0.2962	29.0	348	1.0899	0.5962
0.2579	30.0	360	1.0816	0.5962