---
base_model: indonesian-nlp/gpt2-medium-indonesian
tags:
- generated_from_keras_callback
model-index:
- name: gpt2-pos-neg-vibe
  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. -->

# gpt2-pos-neg-vibe

This model is a fine-tuned version of [indonesian-nlp/gpt2-medium-indonesian](https://huggingface.co/indonesian-nlp/gpt2-medium-indonesian) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.5004
- Epoch: 14

## 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: {'inner_optimizer': {'module': 'keras.optimizers', 'class_name': 'Adam', 'config': {'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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 375, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}, 'registered_name': None}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Epoch |
|:----------:|:-----:|
| 5.9419     | 0     |
| 3.7470     | 1     |
| 2.8806     | 2     |
| 2.4959     | 3     |
| 2.5001     | 4     |
| 2.5031     | 5     |
| 2.4947     | 6     |
| 2.4993     | 7     |
| 2.5025     | 8     |
| 2.4977     | 9     |
| 2.5018     | 10    |
| 2.4995     | 11    |
| 2.4963     | 12    |
| 2.5009     | 13    |
| 2.5004     | 14    |


### Framework versions

- Transformers 4.33.3
- TensorFlow 2.13.0
- Tokenizers 0.13.3