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--- |
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license: apache-2.0 |
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base_model: google/electra-small-discriminator |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: textming_proj01_electra |
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results: [] |
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language: |
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- vi |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# textming_proj01_electra |
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This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on [Vietnamese dataset - Kaggle](https://www.kaggle.com/datasets/duyminhnguyentran/csc15105). |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.4494 |
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- Train Accuracy: 0.7976 |
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- Validation Loss: 0.5521 |
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- Validation Accuracy: 0.7456 |
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- Epoch: 5 |
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- Batch size: 32 |
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## Model description |
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This model is fine-tuned by 19120600@student.hcmus.edu.vn in [Kaggle](https://www.kaggle.com/code/nguynnghabi/training-electra) |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'epsilon': 1e-08} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 0.5951 | 0.6936 | 0.5818 | 0.6966 | 1 | |
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| 0.5484 | 0.7291 | 0.5681 | 0.7054 | 2 | |
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| 0.5119 | 0.7543 | 0.5284 | 0.7423 | 3 | |
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| 0.4769 | 0.7800 | 0.5306 | 0.7432 | 4 | |
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| 0.4494 | 0.7976 | 0.5521 | 0.7456 | 5 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- TensorFlow 2.15.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
