textming_proj01_electra

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textming_proj01_electra

This model is a fine-tuned version of google/electra-small-discriminator on Vietnamese dataset - Kaggle. It achieves the following results on the evaluation set:

• Train Loss: 0.4494
• Train Accuracy: 0.7976
• Validation Loss: 0.5521
• Validation Accuracy: 0.7456
• Epoch: 5
• Batch size: 32

Model description

This model is fine-tuned by [email protected] in Kaggle

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'epsilon': 1e-08}
• training_precision: float32

Training results

Framework versions

• Transformers 4.39.3
• TensorFlow 2.15.0
• Datasets 2.18.0
• Tokenizers 0.15.2