| --- |
| library_name: transformers |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: Financial-Document-Classification-using-Deep-Learning |
| results: [] |
| license: mit |
| language: |
| - en |
| metrics: |
| - confusion_matrix |
| - precision |
| - recall |
| - f1 |
| pipeline_tag: text-classification |
| base_model: |
| - yiyanghkust/finbert-pretrain |
| --- |
| |
|
|
| # Financial-Document-Classification-using-Deep-Learning |
|
|
| This model is a fine-tuned version of [yiyanghkust/finbert-pretrain](https://huggingface.co/yiyanghkust/finbert-pretrain) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
|
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|
|
| ## Model description |
|
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| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - 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} |
| - training_precision: float32 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.48.3 |
| - TensorFlow 2.18.0 |
| - Datasets 3.3.1 |
| - Tokenizers 0.21.0 |
