---
license: mit
base_model: indobenchmark/indogpt
tags:
- generated_from_trainer
datasets:
- id-review-gen
model-index:
- name: gpt2-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-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: 3.7620

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 3.9882        | 1.0   | 21065  | 3.7872          |
| 3.6107        | 2.0   | 42130  | 3.7341          |
| 3.3933        | 3.0   | 63195  | 3.7304          |
| 3.2175        | 4.0   | 84260  | 3.7434          |
| 3.0871        | 5.0   | 105325 | 3.7620          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1