---
license: mit
tags:
- generated_from_keras_callback
base_model: prajjwal1/bert-small
model-index:
- name: Review_model_1_Sentiment
  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. -->

# Review_model_1_Sentiment

This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.1172
- Train Accuracy: 0.3355
- Epoch: 9

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

### Training results

| Train Loss | Train Accuracy | Epoch |
|:----------:|:--------------:|:-----:|
| 1.1234     | 0.3324         | 0     |
| 1.1213     | 0.3307         | 1     |
| 1.1214     | 0.3325         | 2     |
| 1.1192     | 0.3366         | 3     |
| 1.1225     | 0.3346         | 4     |
| 1.1189     | 0.3297         | 5     |
| 1.1188     | 0.3316         | 6     |
| 1.1212     | 0.3340         | 7     |
| 1.1263     | 0.3337         | 8     |
| 1.1172     | 0.3355         | 9     |


### Framework versions

- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1