---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: PromptGenerator_32_topic_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. -->

# PromptGenerator_32_topic_finetuned

This model is a fine-tuned version of [kmkarakaya/turkishReviews-ds](https://huggingface.co/kmkarakaya/turkishReviews-ds) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0569
- Train Sparse Categorical Accuracy: 1.0
- Validation Loss: 0.0787
- Validation Sparse Categorical Accuracy: 1.0
- 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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
| 1.7185     | 0.7860                            | 0.5569          | 0.9868                                 | 0     |
| 0.4711     | 0.9958                            | 0.2097          | 0.9995                                 | 1     |
| 0.2016     | 1.0000                            | 0.1197          | 0.9999                                 | 2     |
| 0.1014     | 1.0                               | 0.0903          | 0.9999                                 | 3     |
| 0.0569     | 1.0                               | 0.0787          | 1.0                                    | 4     |


### Framework versions

- Transformers 4.21.1
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1