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electra-small-doa-finetuned-ms-en-v3 – AI Model by Hazqeel | AlphaNeural AI
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Hazqeel
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electra-small-doa-finetuned-ms-en-v3
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transformers
pytorch
tensorboard
electra
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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electra-small-doa-finetuned-ms-en-v3
This model is a fine-tuned version of
Hazqeel/electra-small-finetuned-malay-english
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0066
Accuracy: 0.9987
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: 2.714001199331585e-05
train_batch_size: 128
eval_batch_size: 128
seed: 39
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3555
1.0
2110
0.0303
0.9907
0.0273
2.0
4220
0.0089
0.9979
0.0111
3.0
6330
0.0069
0.9986
0.0066
4.0
8440
0.0074
0.9984
0.0044
5.0
10550
0.0066
0.9987
Framework versions
Transformers 4.27.1
Pytorch 2.0.1+cu117
Datasets 2.10.1
Tokenizers 0.12.1
