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Training complete

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README.md CHANGED
@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3038
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- - Rouge1: 0.5548
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- - Rouge2: 0.3653
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- - Rougel: 0.5284
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- - Bleu: 24.1256
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- - Meteor: 0.5389
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- - Codebleu: 0.2973
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  ## Model description
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@@ -45,14 +45,14 @@ 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: 2
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- - eval_batch_size: 2
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  - seed: 42
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- - gradient_accumulation_steps: 16
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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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  ### Training results
 
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  This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2969
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+ - Rouge1: 0.5412
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+ - Rouge2: 0.3606
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+ - Rougel: 0.5202
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+ - Bleu: 20.5506
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+ - Meteor: 0.5161
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+ - Codebleu: 0.2608
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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: 6
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+ - eval_batch_size: 12
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 12
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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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