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trungpq/
slac-new-palate-upsample_replacement

Name: slac-new-palate-upsample_replacement
Availability: InStock

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slac-new-palate-upsample_replacement

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
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
lr_scheduler_warmup_steps: 336
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Precision Macro	Recall Macro	F1 Micro	Precision Micro	Recall Micro	Total Tf
0.2061	1.0	337	0.1905	0.9386	0.8585	0.8484	0.8694	0.9386	0.9386	0.9386	[1452, 95, 1452, 95]
0.0784	2.0	674	0.2541	0.9270	0.8428	0.8154	0.8791	0.9270	0.9270	0.9270	[1434, 113, 1434, 113]
0.0338	3.0	1011	0.2829	0.9425	0.8611	0.8673	0.8552	0.9425	0.9425	0.9425	[1458, 89, 1458, 89]
0.0276	4.0	1348	0.2982	0.9470	0.8686	0.8861	0.8531	0.9470	0.9470	0.9470	[1465, 82, 1465, 82]
0.0224	5.0	1685	0.3440	0.9438	0.8574	0.8845	0.8349	0.9438	0.9438	0.9438	[1460, 87, 1460, 87]
0.0096	6.0	2022	0.4022	0.9367	0.8460	0.8546	0.8379	0.9367	0.9367	0.9367	[1449, 98, 1449, 98]
0.008	7.0	2359	0.4061	0.9386	0.8503	0.8600	0.8413	0.9386	0.9386	0.9386	[1452, 95, 1452, 95]
0.006	8.0	2696	0.4193	0.9438	0.8588	0.8814	0.8396	0.9438	0.9438	0.9438	[1460, 87, 1460, 87]
0.0012	9.0	3033	0.4604	0.9457	0.8605	0.8942	0.8337	0.9457	0.9457	0.9457	[1463, 84, 1463, 84]
0.003	10.0	3370	0.4691	0.9412	0.8559	0.8677	0.8451	0.9412	0.9412	0.9412	[1456, 91, 1456, 91]
0.0016	11.0	3707	0.4729	0.9457	0.8612	0.8924	0.8360	0.9457	0.9457	0.9457	[1463, 84, 1463, 84]
0.0037	12.0	4044	0.4790	0.9438	0.8581	0.8829	0.8373	0.9438	0.9438	0.9438	[1460, 87, 1460, 87]
0.007	13.0	4381	0.4749	0.9451	0.8621	0.8848	0.8427	0.9451	0.9451	0.9451	[1462, 85, 1462, 85]
0.003	14.0	4718	0.4791	0.9457	0.8626	0.8890	0.8407	0.9457	0.9457	0.9457	[1463, 84, 1463, 84]
0.001	15.0	5055	0.4783	0.9457	0.8626	0.8890	0.8407	0.9457	0.9457	0.9457	[1463, 84, 1463, 84]