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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: nguyennghia0902/electra-small-discriminator_2e-05_16 |
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results: [] |
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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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# nguyennghia0902/electra-small-discriminator_2e-05_16 |
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This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.8204 |
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- Train End Logits Accuracy: 0.5584 |
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- Train Start Logits Accuracy: 0.5303 |
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- Validation Loss: 1.5543 |
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- Validation End Logits Accuracy: 0.6127 |
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- Validation Start Logits Accuracy: 0.5972 |
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- Epoch: 9 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 31270, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch | |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:| |
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| 3.3122 | 0.2821 | 0.2485 | 2.6648 | 0.3797 | 0.3553 | 0 | |
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| 2.6687 | 0.3873 | 0.3537 | 2.3167 | 0.4510 | 0.4297 | 1 | |
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| 2.4256 | 0.4356 | 0.4051 | 2.1007 | 0.4965 | 0.4787 | 2 | |
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| 2.2600 | 0.4678 | 0.4373 | 1.9512 | 0.5271 | 0.5112 | 3 | |
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| 2.1384 | 0.4927 | 0.4626 | 1.8342 | 0.5512 | 0.5353 | 4 | |
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| 2.0404 | 0.5101 | 0.4814 | 1.7279 | 0.5752 | 0.5598 | 5 | |
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| 1.9575 | 0.5275 | 0.4978 | 1.6628 | 0.5890 | 0.5718 | 6 | |
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| 1.8962 | 0.5405 | 0.5127 | 1.5958 | 0.6047 | 0.5877 | 7 | |
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| 1.8478 | 0.5503 | 0.5211 | 1.5622 | 0.6112 | 0.5964 | 8 | |
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| 1.8204 | 0.5584 | 0.5303 | 1.5543 | 0.6127 | 0.5972 | 9 | |
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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 |
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