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: 16
eval_batch_size: 16
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: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	15	1.0576	0.4423	0.1956	0.4423	0.2713
No log	2.0	30	1.0491	0.4327	0.1932	0.4327	0.2672
No log	3.0	45	1.0501	0.3654	0.3072	0.3654	0.2828
No log	4.0	60	1.0507	0.4327	0.3536	0.4327	0.3849
No log	5.0	75	1.0697	0.375	0.3150	0.375	0.3423
No log	6.0	90	1.0865	0.4423	0.3999	0.4423	0.3812
No log	7.0	105	1.0720	0.375	0.3639	0.375	0.3526
No log	8.0	120	1.1018	0.4327	0.4044	0.4327	0.3992
No log	9.0	135	1.1086	0.4327	0.4083	0.4327	0.4107
No log	10.0	150	1.1107	0.4038	0.3823	0.4038	0.3871