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--- |
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license: mit |
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base_model: indobenchmark/indogpt |
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tags: |
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- generated_from_trainer |
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datasets: |
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- id-review-gen |
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model-index: |
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- name: gpt2-finetune-id-review-gen |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# gpt2-finetune-id-review-gen |
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This model is a fine-tuned version of [indobenchmark/indogpt](https://huggingface.co/indobenchmark/indogpt) on the id-review-gen dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.6747 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 3.878 | 1.0 | 5267 | 3.7784 | |
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| 3.6296 | 2.0 | 10534 | 3.7042 | |
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| 3.4928 | 3.0 | 15801 | 3.6790 | |
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| 3.3693 | 4.0 | 21068 | 3.6747 | |
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| 3.2966 | 5.0 | 26335 | 3.6788 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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