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@@ -37,7 +37,7 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- For more information on how it was created, check out the following link: {I will update this once I post the code on github.}
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  ## Intended uses & limitations
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@@ -47,6 +47,14 @@ This model is intended to demonstrate my ability to solve a complex problem usin
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  Dataset Source: https://huggingface.co/datasets/paolo-ruggirello/biomedical-dataset
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  ## Training procedure
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  ### Training hyperparameters
@@ -60,16 +68,15 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 1
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- ### Training results [^1]
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | RougeL | RougeLsum | Meteor | Prediction Lengths |
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  | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: |
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  | 1.0165 | 1.0 | 2636 | 0.9425 | 38.9893 | 0.6826 | 0.4737 | 0.6586 | 0.6585 | 0.6270 | 24.3627 |
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- <br />
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  Footnotes:
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- [^1]: All results in this table are rounded to the nearest ten-thousandths of the decimal.
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  ### Framework versions
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  ## Model description
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+ For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Machine%20Translation/Biomedical%20Translation%20(EN%20to%20IT)/Biomedical%20-%20Translation%20Project.ipynb
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  ## Intended uses & limitations
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  Dataset Source: https://huggingface.co/datasets/paolo-ruggirello/biomedical-dataset
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+ ### Histogram of English Input Word Counts
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+ ![English Input Lengths](https://raw.githubusercontent.com/DunnBC22/NLP_Projects/main/Machine%20Translation/Biomedical%20Translation%20(EN%20to%20IT)/Images/Histogram%20of%20English%20Lengths.png)
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+ ### Histogram of Italian Input Word Counts
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+ ![Italian Input Lengths](https://raw.githubusercontent.com/DunnBC22/NLP_Projects/main/Machine%20Translation/Biomedical%20Translation%20(EN%20to%20IT)/Images/Histogram%20of%20Italian%20Inputs.png)
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  ## Training procedure
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  ### Training hyperparameters
 
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  - lr_scheduler_type: linear
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  - num_epochs: 1
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+ ### Training results*
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | RougeL | RougeLsum | Meteor | Prediction Lengths |
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  | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: |
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  | 1.0165 | 1.0 | 2636 | 0.9425 | 38.9893 | 0.6826 | 0.4737 | 0.6586 | 0.6585 | 0.6270 | 24.3627 |
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  Footnotes:
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+ *: All results in this table are rounded to the nearest ten-thousandths of the decimal.
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  ### Framework versions
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