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README.md ADDED
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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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+
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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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+
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+ # kasrahabib/gpt2-finetuned-iso29148-sward-on-promise-km-labels-f-nf-cls
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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+ "id2label": {
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+ "0": "F",
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+ "1": "NF"
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+ },
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+ "initializer_range": 0.02,
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+ "summary_proj_to_labels": true,
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+ }
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+ "transformers_version": "4.42.3",
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