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@@ -3,8 +3,6 @@ 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: []
@@ -15,9 +13,7 @@ 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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@@ -42,20 +38,9 @@ The following hyperparameters were used during training:
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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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-
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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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-
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-
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  ### Framework versions
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  - Transformers 4.37.0
 
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  base_model: indobenchmark/indogpt
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  tags:
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  - generated_from_trainer
 
 
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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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  # 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 an unknown dataset.
 
 
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  ## Model description
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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: 10
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.37.0