---
license: mit
base_model: indobenchmark/indogpt
tags:
- generated_from_trainer
datasets:
- id-review-gen
model-index:
- name: gpt2-completion-finetune-id-review-gen
  results: []
---

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

# gpt2-completion-finetune-id-review-gen

This model is a fine-tuned version of [indobenchmark/indogpt](https://huggingface.co./indobenchmark/indogpt) on the id-review-gen dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2807

## 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:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.5971        | 1.0   | 2065  | 1.5028          |
| 1.4759        | 2.0   | 4130  | 1.4118          |
| 1.4151        | 3.0   | 6195  | 1.3649          |
| 1.3746        | 4.0   | 8260  | 1.3400          |
| 1.3533        | 5.0   | 10325 | 1.3165          |
| 1.3273        | 6.0   | 12390 | 1.3030          |
| 1.306         | 7.0   | 14455 | 1.2944          |
| 1.2946        | 8.0   | 16520 | 1.2879          |
| 1.2829        | 9.0   | 18585 | 1.2814          |
| 1.2818        | 10.0  | 20650 | 1.2807          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.1