trigger ci/cd workflows

[github-actions[bot]]

timestamp:

August 19, 2023 06:36:09 AM

run_id:

056e5328b9474cfa84c307fc0717d9cf

params:

Key	Value
dropout_p	0.5
lr	0.0
lr_factor	0.8
lr_patience	3
num_samples	None
num_epochs	10
batch_size	256
num_classes	4

metrics:

epoch	train_loss	val_loss
0	5.772e-01	4.937e-01
1	4.762e-01	4.175e-01
2	3.687e-01	3.735e-01
3	2.930e-01	2.755e-01
4	2.102e-01	2.391e-01
5	1.618e-01	1.977e-01
6	1.136e-01	1.599e-01
7	7.671e-02	1.742e-01
8	5.616e-02	1.525e-01
9	3.934e-02	1.604e-01

[github-actions[bot]]

timestamp:

August 19, 2023 06:36:30 AM

run_id:

056e5328b9474cfa84c307fc0717d9cf

overall:

Key	Value
precision	0.954
recall	0.953
f1	0.953
num_samples	191.0

per_class:

Key	Value
computer-vision	{'precision': 0.958, 'recall': 0.972, 'f1': 0.965, 'num_samples': 71.0}
natural-language-processing	{'precision': 0.938, 'recall': 0.974, 'f1': 0.956, 'num_samples': 78.0}
mlops	{'precision': 1.0, 'recall': 0.875, 'f1': 0.933, 'num_samples': 16.0}
other	{'precision': 0.958, 'recall': 0.885, 'f1': 0.92, 'num_samples': 26.0}

slices:

Key	Value
nlp_llm	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'num_samples': 28}
short_text	{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'num_samples': 7}