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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:
## Model description
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 |