minwook commited on
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Model save

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README.md CHANGED
@@ -14,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # git-base-cartoon
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 6.4532
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- - Bleu Score: 0.0009
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  ## Model description
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@@ -36,23 +33,16 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 16
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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: 2
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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 | Bleu Score |
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- |:-------------:|:------:|:----:|:---------------:|:----------:|
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- | 7.9416 | 1.7544 | 50 | 6.4532 | 0.0009 |
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-
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-
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  ### Framework versions
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  - Transformers 4.42.4
 
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  # git-base-cartoon
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-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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  - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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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 4.42.4
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