---
base_model: ProsusAI/finbert
tags:
- generated_from_keras_callback
model-index:
- name: mehassan/finbert-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# mehassan/finbert-finetuned

This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1000
- Train Accuracy: 0.9868
- Validation Loss: 0.2368
- Validation Accuracy: 0.9051
- Epoch: 4

## 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': False, 'is_legacy_optimizer': False, 'learning_rate': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.8773     | 0.6523         | 0.5521          | 0.9073              | 0     |
| 0.4449     | 0.9294         | 0.3423          | 0.9227              | 1     |
| 0.2584     | 0.9581         | 0.2543          | 0.9205              | 2     |
| 0.1562     | 0.9790         | 0.2481          | 0.9139              | 3     |
| 0.1000     | 0.9868         | 0.2368          | 0.9051              | 4     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1