You can deploy this model and start earning money today!

lazymonster/
adaptation_diacritized

Name: adaptation_diacritized
Availability: InStock

Views

No views yet

adaptation_diacritized

This model is a fine-tuned version of lazymonster/15k-combined-diacritized-scratch on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 2e-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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Composite Score
No log	1.0	267	0.9467	0.6662	0.6397	0.6397
0.5963	2.0	534	0.9685	0.6504	0.6373	0.6373
0.5963	3.0	801	0.9401	0.6686	0.6457	0.6457
0.5689	4.0	1068	0.9578	0.6671	0.6433	0.6433
0.5689	5.0	1335	0.9699	0.6681	0.6452	0.6452
0.5488	6.0	1602	0.9692	0.6758	0.6484	0.6484
0.5488	7.0	1869	0.9762	0.6715	0.6513	0.6513
0.5263	8.0	2136	0.9864	0.6786	0.6530	0.6530
0.5263	9.0	2403	0.9853	0.6777	0.6523	0.6523
0.5072	10.0	2670	0.9843	0.6844	0.6573	0.6573
0.5072	11.0	2937	1.0037	0.6782	0.6553	0.6553
0.4946	12.0	3204	0.9960	0.6767	0.6548	0.6548
0.4946	13.0	3471	1.0123	0.6810	0.6572	0.6572
0.488	14.0	3738	1.0240	0.6734	0.6510	0.6510