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--- |
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library_name: transformers |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Financial-Document-Classification-using-Deep-Learning |
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results: [] |
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license: mit |
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language: |
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- en |
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metrics: |
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- confusion_matrix |
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- precision |
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- recall |
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- f1 |
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pipeline_tag: text-classification |
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base_model: |
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- yiyanghkust/finbert-pretrain |
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--- |
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# Financial-Document-Classification-using-Deep-Learning |
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This model is a fine-tuned version of [yiyanghkust/finbert-pretrain](https://huggingface.co/yiyanghkust/finbert-pretrain) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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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': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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### Framework versions |
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- Transformers 4.48.3 |
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- TensorFlow 2.18.0 |
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- Datasets 3.3.1 |
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- Tokenizers 0.21.0 |
