Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
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
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
No log	1.0	32	0.0061	0.9862	0.9919	0.9891
No log	2.0	64	0.0102	0.9863	0.9931	0.9897
No log	3.0	96	0.0128	0.9795	0.9908	0.9851
No log	4.0	128	0.0106	0.9784	0.9931	0.9857
No log	5.0	160	0.0120	0.9873	0.9896	0.9885
No log	6.0	192	0.0134	0.9817	0.9908	0.9862
No log	7.0	224	0.0097	0.9817	0.9908	0.9862
No log	8.0	256	0.0084	0.9840	0.9942	0.9891
No log	9.0	288	0.0077	0.9885	0.9931	0.9908
No log	10.0	320	0.0101	0.9851	0.9908	0.9879
No log	11.0	352	0.0102	0.9851	0.9919	0.9885
No log	12.0	384	0.0105	0.9862	0.9919	0.9891
No log	13.0	416	0.0102	0.9885	0.9919	0.9902
No log	14.0	448	0.0098	0.9885	0.9919	0.9902
No log	15.0	480	0.0099	0.9885	0.9919	0.9902