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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-completion-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-completion-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: 1.3547 |
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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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| 1.6024 | 1.0 | 2065 | 1.5079 | |
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| 1.4878 | 2.0 | 4130 | 1.4249 | |
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| 1.4336 | 3.0 | 6195 | 1.3837 | |
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| 1.4006 | 4.0 | 8260 | 1.3625 | |
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| 1.3912 | 5.0 | 10325 | 1.3547 | |
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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 2.17.0 |
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- Tokenizers 0.15.1 |
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