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End of training

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@@ -16,13 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.0884
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- - eval_execution_accuracy: 69.2456
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- - eval_runtime: 1938.7518
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- - eval_samples_per_second: 0.533
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- - eval_steps_per_second: 0.067
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- - epoch: 13.0
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- - step: 85215
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  ## Model description
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@@ -49,6 +44,27 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 15
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  ### Framework versions
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  - PEFT 0.9.0
 
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  This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0936
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+ - Execution Accuracy: 70.5029
 
 
 
 
 
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 15
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Execution Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:------------------:|:---------------:|
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+ | 0.068 | 1.0 | 6555 | 39.4584 | 0.0767 |
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+ | 0.0432 | 2.0 | 13110 | 52.9981 | 0.0608 |
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+ | 0.033 | 3.0 | 19665 | 60.3482 | 0.0612 |
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+ | 0.0297 | 4.0 | 26220 | 62.8627 | 0.0589 |
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+ | 0.0213 | 5.0 | 32775 | 64.1199 | 0.0605 |
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+ | 0.0188 | 6.0 | 39330 | 64.3133 | 0.0619 |
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+ | 0.0166 | 7.0 | 45885 | 66.441 | 0.0611 |
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+ | 0.0162 | 8.0 | 52440 | 65.8607 | 0.0669 |
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+ | 0.0109 | 9.0 | 58995 | 68.9555 | 0.0666 |
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+ | 0.0101 | 10.0 | 65550 | 68.1818 | 0.0736 |
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+ | 0.0085 | 11.0 | 72105 | 68.0851 | 0.0764 |
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+ | 0.0069 | 12.0 | 78660 | 69.0522 | 0.0801 |
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+ | 0.0068 | 13.0 | 85215 | 69.2456 | 0.0884 |
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+ | 0.0052 | 14.0 | 91770 | 0.0883 | 70.793 |
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+ | 0.0039 | 15.0 | 98325 | 0.0936 | 70.5029 |
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  ### Framework versions
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  - PEFT 0.9.0