Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 5e-06
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	F1 Weighted
0.9125	1.0	324	0.5410	0.7120
0.4462	2.0	648	0.2934	0.8546
0.2895	3.0	972	0.2372	0.8833
0.2172	4.0	1296	0.1978	0.9065
0.171	5.0	1620	0.1744	0.9182
0.1389	6.0	1944	0.1505	0.9325
0.116	7.0	2268	0.1402	0.9418
0.0985	8.0	2592	0.1410	0.9412
0.0849	9.0	2916	0.1341	0.9480
0.0707	10.0	3240	0.1276	0.9529
0.063	11.0	3564	0.1239	0.9531
0.0567	12.0	3888	0.1220	0.9559