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--- |
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license: mit |
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base_model: openai-community/gpt2 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: kasrahabib/gpt2-finetuned-iso29148-sward-on-promise-km-labels-f-nf-cls |
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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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# kasrahabib/gpt2-finetuned-iso29148-sward-on-promise-km-labels-f-nf-cls |
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0043 |
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- Validation Loss: 0.4534 |
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- Epoch: 14 |
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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': 61815, '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 | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.4009 | 0.2523 | 0 | |
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| 0.2466 | 0.2587 | 1 | |
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| 0.1737 | 0.2424 | 2 | |
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| 0.1156 | 0.2541 | 3 | |
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| 0.0731 | 0.2580 | 4 | |
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| 0.0488 | 0.3160 | 5 | |
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| 0.0364 | 0.2907 | 6 | |
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| 0.0268 | 0.3266 | 7 | |
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| 0.0178 | 0.4484 | 8 | |
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| 0.0162 | 0.3838 | 9 | |
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| 0.0107 | 0.4148 | 10 | |
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| 0.0073 | 0.4724 | 11 | |
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| 0.0068 | 0.4474 | 12 | |
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| 0.0041 | 0.4823 | 13 | |
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| 0.0043 | 0.4534 | 14 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- TensorFlow 2.15.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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