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dtran612/
velectra-base-discriminator-cased-vinli-ph

Name: velectra-base-discriminator-cased-vinli-ph
Availability: InStock

generated_from_trainer

FPTAI/velectra-base-discriminator-cased

finetune

endpoints_compatible

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velectra-base-discriminator-cased-vinli-ph

This model is a fine-tuned version of FPTAI/velectra-base-discriminator-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0482
Accuracy: 0.9885

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0884	1.0	142	1.0579	0.4673
1.0025	2.0	284	0.8797	0.6237
0.7961	3.0	426	0.5950	0.7818
0.5703	4.0	568	0.3801	0.8777
0.4407	5.0	710	0.2546	0.9209
0.2441	6.0	852	0.1451	0.9638
0.2048	7.0	994	0.1064	0.9726
0.2095	8.0	1136	0.0663	0.9837
0.1229	9.0	1278	0.0541	0.9881
0.0579	10.0	1420	0.0482	0.9885

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

dtran612/velectra-base-discriminator-cased-vinli-ph

velectra-base-discriminator-cased-vinli-ph

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dtran612/
velectra-base-discriminator-cased-vinli-ph