Weekly Check-in #3
0dust
Published: 06/15/2020
What did I do this week?
I finished adding the classification models and opened the PR for review. I also worked on Question Answering model but soon realised the complexity of implementing it in Tensorflow. So I switched to Pytorch and made a good progress so far.
What's next?
I will be finishing the Accuracy and Predict methods for QA model and will open the PR for review by mentors. I will also be making changes, if any, in classification model as per the instruction of mentors.
Did I get stuck somewhere?
I got stuck while implementing accuracy method for QA model. Due to the complexity of SQuAD metric it was getting quite complex to implement it in tensorflow. Luckily its lot easier to implement in Pytorch so the problem was resolved once I switched to Pytorch.
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Weekly Check-in #2
0dust
Published: 06/08/2020
What did I do this week?
I worked on question answering and classification models using Hugging Face Transformers. Now, both question answering and classification models can be trained in DFFML.
What's next?
I will be adding the Accuracy and Prediction method for question answering model and will wrap up the classification model to open pull request for review by mentors.
Did I get stuck somewhere?
Yes, I got stuck in reading the json file of SQuAD dataset for QA model. As you already know my mentor is super helpful so it got resolved quickly.
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Weekly Check-in #1
0dust
Published: 06/02/2020
Hello there, I am Himanshu Tripathi, a final year CS undergrad from NIT Silchar. I have been contributing to DFFML from past few months and got selected to spend this summer (and lockdown :P) working on Adding Machine Learning models and Operations in DFFML
What did I do this week?
I worked on DataFlow Diagrams. Diagrams show the input and output flow of data among operations in DFFML using Mermaidjs. I added the feature to show the conditional dependence of one operation on the others if there exist any.
Ok, What's next?
I wil be working on adding Question Answering model in DFFML.
Did I get stuck somewhere?
Yes, I got stuck in few places, but we have meeting twice a week and my mentor is very active (Yayy!) so everything got resolved quickly.
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