Update results on README after Cleaning up code (#41)

* Adding SentencePiece

* Rearrange

* Adding finetuning scripts

* Making dir structure more managable

* Add Random Search

* Add majority voting

* Strip notebooks

* Add nb stripout from fastai standalone version

* Move everything to one notebook

* Change the name of the file saved

* Change the parameters

* Combine common code

* Pass "name" to methods in hinglish utils

* fix imports

* Pass name as variable to add_padding

* Remove output

* Fix typo

* Change names for ensemble models

* Change from "output" to name of the LM model

* Fix typo

* Remove hardcoding for epochs

* isort and black :)

* Move everything to hinglish

* Coffe isn't good for me

* Break everything into sensible methods

* import clash

* fix run_valid

* Change notebook according to hinglish.py

* Change logs

* Fix imports

* Change method names

* Remove tf dependency

* Remove tf from requirements.txt

* Remove hardcoding from pd columns

* Use store_attr to load variables for class

* Fix the size mismatch error by changing final_test.json file

* nb-stripout worked

* Add majority voting explanation

* extract if tarfile and run_language_modeling documentation

* Split the transformers notebook

* Something broke, I don't know what.

* Remove setup

* Things would be easier if I knew OOP or Python better

* Will fix this later is this works¿

* nan sent¿

* Print eval and test metrics

* Change the label for eval

* Change the file with empty clean_text

* Remove eval testing for now

* Logfile name

* moving the part which copies things to drive here

* Fix formatting add pathlib

* add drivepath

* Changed the file paths

* Remove additional code

* Update model performance after reproducing code (#40)

- Reproduced on Monday 29th December. 
- [Training Files](https://drive.google.com/drive/folders/12qEbxbefBY24-YqahVV0v7q_IFyxz3L8?usp=sharing)
- [Model/Output files](https://drive.google.com/drive/folders/1x-6klxSJEQu5gUOR1zHUHyHjHrApKmRD?usp=sharing)

Co-authored-by: meghanabhange <[email protected]>
Co-authored-by: meghanabhange <[email protected]>
Co-authored-by: meghanabhange <[email protected]>

README.md

@@ -17,12 +17,25 @@ RoBERTa| 7.54 | 0.64|
 
 Base LM | Dataset|  Accuracy |  Precision |  Recall |  F1| LM Perplexity|
 --|--|--|--|--|--|--|
-bert-base-multilingual-cased | Test |  0.686| 0.695| 0.683|  0.685| 8.2|
+bert-base-multilingual-cased | Test |  0.688| 0.698| 0.686|  0.687| 8.2|
 bert-base-multilingual-cased | Valid |  0.62| 0.592 |  0.605|  0.55| 8.2|
-distilbert-base-uncased | Test| 0.671| 0.671| 0.691| 0.677| 6.51|
+distilbert-base-uncased | Test| 0.693| 0.694| 0.703| 0.698| 6.51|
 distilbert-base-uncased | Valid| 0.607| 0.614| 0.600| 0.592| 6.51|
 distilbert-base-multilingual-cased | Test| 0.612| 0.615| 0.616| 0.616| 8.1|
 distilbert-base-multilingual-cased | Valid| 0.55| 0.531| 0.537| 0.495| 8.1|
 roberta-base | Test| 0.630| 0.629| 0.644| 0.635| 7.54|
 roberta-base | Valid| 0.60| 0.617| 0.607| 0.595| 7.54|
-Ensemble |  Test| 0.713| 0.715| 0.722| 0.718| |
+Ensemble |  Test| 0.714| 0.718| 0.718| 0.718| |
+
+## Ensemble Performace 
+
+Model | Accuracy  | Precision  | Recall  | F1 | Config | Link to Model and output files |
+--|--|--|--|--|--|--|
+BERT | 0.68866 | 0.69821 | 0.68608 | 0.6875 | Batch Size - 16<br>Attention Dropout - 0.4<br>Learning Rate - 5e-07<br>Adam epsilon - 1e-08<br>Hidden Dropout Probability - 0.3<br>Epochs - 3 | [BERT](https://drive.google.com/drive/folders/1HAYoWX3zG7XEMaSf74K5dKvaBJdwE6U9?usp=sharing) |
+DistilBert | 0.69333 | 0.69496 | 0.70379 | 0.6982 | Batch Size - 16<br>Attention Dropout - 0.6<br>Learning Rate - 3e-05<br>Adam epsilon - 1e-08<br>Hidden Dropout Probability - 0.6<br>Epochs - 3 | [DistilBert](https://drive.google.com/drive/folders/1t_2XqwtRpui5l1prZsmCaArmqzPjPGob?usp=sharing) |
+EnsembleBert1 | 0.69233 | 0.70236 | 0.69064 | 0.68952 | Batch Size - 4<br>Attention Dropout - 0.7<br>Learning Rate - 5.01e-05<br>Adam epsilon - 4.79e-05<br>Hidden Dropout Probability - 0.1<br>Epochs - 3 | [EnsembleBert1](https://drive.google.com/drive/folders/1-ais3Y04SWFUYHF4KkUAJMDUEdsfu_GB?usp=sharing) |
+EnsembleBert2 | 0.691 | 0.7009 | 0.6889 | 0.68872 | Batch Size - 4<br>Attention Dropout - 0.6<br>Learning Rate - 5.13e-05<br>Adam epsilon - 9.72e-05<br>Hidden Dropout Probability - 0.2<br>Epochs - 3 | [EnsembleBert2](https://drive.google.com/drive/folders/1-rpWWvVruIp_WA0mveU2zHn82fZ5Mcl8?usp=sharing) |
+EnsembleDistilBert1 | 0.70166 | 0.70377 | 0.70976 | 0.7061 | Batch Size - 16<br>Attention Dropout - 0.8<br>Learning Rate - 3.02e-05<br>Adam epsilon - 9.35e-05<br>Hidden Dropout Probability - 0.4<br>Epochs - 3 | [EnsembleDistilBert1](https://drive.google.com/drive/folders/1jqcXPLysVSVCOh5ySKa-fMRIWA_djT_P?usp=sharing) |
+EnsembleDistilBert2 | 0.689 | 0.691 | 0.69666 | 0.69335 | Batch Size - 4<br>Attention Dropout - 0.6<br>Learning Rate - 5.13e-05<br>Adam epsilon - 9.72e-05<br>Hidden Dropout Probability - 0.2<br>Epochs - 3 | [EnsembleDistilBert2](https://drive.google.com/drive/folders/1-3mwr1v3OBzlSrFxOKpec8ERrqHTPaZo?usp=sharing) |
+EnsembleDistilBert3 | 0.69366 | 0.69538 | 0.70557 | 0.69905 | Batch Size - 16<br>Attention Dropout - 0.4<br>Learning Rate - 4.74e-05<br>Adam epsilon - 4.09e-05<br>Hidden Dropout Probability - 0.6<br>Epochs - 3 | [EnsembleDistilBert3](https://drive.google.com/drive/folders/1-KHIKd425T98r0lMjKCv0X7GKaU7K9D5?usp=sharing) |
+Ensemble | 0.71466 | 0.71867 | 0.71853 | 0.7182 | NA | [Ensemble](https://drive.google.com/drive/folders/12Iz0xfxszNMkQE8hxO6ajeTBACoKsWUW?usp=sharing) |