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This an NLP model which is able to classify imdb movie reviews as either positive or negative. l also uses the comet platform in order to visualize our model results as well as the model pipeline.

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.gitignore
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CPU Utilization (1).jpeg
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Code.ipynb
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Jupyter interactive
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LICENSE
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epoch,eval_accuracy,eval_f1,eval_loss,eval_precision,eval_recall,eval_steps_per_second,eval_accuracy,eval_f1,eval_loss,eval_precision,eval_recall,eval_steps_per_second,train_loss,train_samples_per_second,train_ste.jpeg
epoch,eval_accuracy,eval_f1,eval_loss,eval_precision,eval_recall,eval_steps_per_second,eval_accuracy,eval_f1,eval_loss,eval_precision,eval_recall,eval_steps_per_second,train_loss,train_samples_per_second,train_ste.jpeg
 
 
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Dashboard_Visualizer-ML-Project

This an NLP model which is able to classify imdb movie reviews as either positive or negative. We will also be making use of the comet platform inorder to visualize our model results as well as the model pipeline.

You can see my work here on Comit ("https://www.comet.com/anuragsharma5893/imdb-distrilbart/ecb2ca1898ad44d3ba6d70ca21965d8d?experiment-tab=chart&showOutliers=true&smoothing=0&transformY=smoothing&xAxis=step")

All the datasete I took from ("https://huggingface.co/distilbert-base-uncased")

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This an NLP model which is able to classify imdb movie reviews as either positive or negative. l also uses the comet platform in order to visualize our model results as well as the model pipeline.

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python machine-learning colab-notebook

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