metadata
license: mit
base_model: indobenchmark/indogpt
tags:
- generated_from_trainer
datasets:
- id-review-gen
model-index:
- name: gpt2-finetune-id-review-gen
results: []
gpt2-finetune-id-review-gen
This model is a fine-tuned version of 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