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
1.6286	1.0	12	1.5624	0.2692
1.5581	2.0	24	1.4706	0.5192
1.4708	3.0	36	1.2967	0.5385
1.3022	4.0	48	1.1556	0.4615
0.9735	5.0	60	1.0354	0.5385
0.7914	6.0	72	1.1014	0.4423
0.7376	7.0	84	1.1087	0.4808
0.692	8.0	96	0.9630	0.6346
0.6586	9.0	108	0.9429	0.6346
0.5799	10.0	120	0.9332	0.6346
0.5557	11.0	132	1.1712	0.5192
0.5233	12.0	144	1.0447	0.5577
0.4427	13.0	156	0.8928	0.6538
0.5043	14.0	168	1.0120	0.5962
0.4167	15.0	180	0.9241	0.6923
0.4601	16.0	192	0.8848	0.6538
0.4619	17.0	204	0.9239	0.6923
0.3822	18.0	216	0.9208	0.6731
0.3707	19.0	228	1.0374	0.5769
0.365	20.0	240	0.9900	0.6538
0.3412	21.0	252	1.0541	0.6538
0.3265	22.0	264	0.9913	0.6731
0.3096	23.0	276	1.0355	0.6346
0.3603	24.0	288	0.9986	0.6538
0.2924	25.0	300	1.0046	0.6731
0.3489	26.0	312	1.0560	0.6346
0.2974	27.0	324	1.0076	0.6538
0.2924	28.0	336	1.0164	0.6538
0.3369	29.0	348	1.0260	0.6346
0.2884	30.0	360	1.0293	0.6346