Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
No log	4.0	20	0.0231
0.7287	8.0	40	0.0001
0.0002	12.0	60	0.0000
0.0000	16.0	80	0.0000
0.0000	20.0	100	0.0000
0.0000	24.0	120	0.0000
0.0000	28.0	140	0.0000
0.0000	32.0	160	0.0000
0.0000	36.0	180	0.0000
0.0000	40.0	200	0.0000
0.0000	44.0	220	0.0000
0.0000	48.0	240	0.0000
0.0000	52.0	260	0.0000
0.0000	56.0	280	0.0000
0.0000	60.0	300	0.0000
0.0000	64.0	320	0.0000
0.0000	68.0	340	0.0000
0.0000	72.0	360	0.0000
0.0000	76.0	380	0.0000
0.0000	80.0	400	0.0000
0.0000	84.0	420	0.0000
0.0000	88.0	440	0.0000
0.0000	92.0	460	0.0000
0.0000	96.0	480	0.0000
0.0000	100.0	500	0.0000