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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: hfnlpmodels/eos_prediction_distilbert_1 |
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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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# hfnlpmodels/eos_prediction_distilbert_1 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0879 |
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- Train Accuracy: 0.9714 |
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- Validation Loss: 0.2180 |
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- Validation Accuracy: 0.9305 |
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- Epoch: 2 |
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## Model description |
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Predicts (or should predict) whether a given sentence is complete. Trained on sentences that were randomly truncate as '0' labels, hence some sentences which were grammatically correct may have been labelled as incomplete. Overall accuracy near 0.9 means that this was most likely a small factor. |
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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': 4165, '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 Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 0.2709 | 0.8942 | 0.2015 | 0.9211 | 0 | |
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| 0.1421 | 0.9505 | 0.2055 | 0.9318 | 1 | |
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| 0.0879 | 0.9714 | 0.2180 | 0.9305 | 2 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- TensorFlow 2.15.0 |
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- Tokenizers 0.15.2 |
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