This fine tunned model will do sentiment analysis,based on 6 sentiments - 
sadness (0), joy (1), love (2), anger (3), fear (4), surprise (5)

Download and run Colab Notebook "FineTunnedBertBaseModel_Use.ipynb" for step by step guidance, which is in "Files and Versions" section.
When you run above google colab file you will require following 3 files which is in "Files and versions" section
1. model.index
2. checkpoint
3. model.data-00000-of-00001
Create a folder on you google drive name, folder name should be "model2.1" and save all these 3 files in it.
If you want to change folder name instead of model2.1, you want folder name should be "sentimentXYZ" then you have to change
line "classifier_2.load_weights('/content/drive/MyDrive/FineTunning2/model2.1/model')" in "FineTunnedBertBaseModel_Use.ipynb" to
"classifier_2.load_weights('/content/drive/MyDrive/FineTunning2/setimentXYZ/model')" this is the path of your save weights on
In the following path '/content/drive/MyDrive/FineTunning2/model2.1/model'
 
Overview 
BaseModel : "bert-base-uncased"
DataSet: dair-ai/emotion

Training:
After first epoch, accuracy: 0.6497
After third epoch, accuracy: 0.9360

Test:
accuracy: 0.9265

For any contribution or discussion please let me know in Discussion section.
{"language": ["en"], "tags": ["Transformers", "Text Classification", "bert-base-uncased", "emotion-classification"], "datasets": ["dair-ai/emotion", "SetFit/emotion"], "pipeline_tag": "text-classification"}
Transformers Text Classification bert-base-uncased emotion-classification text-classification en dataset:dair-ai/emotion dataset:SetFit/emotion region:us
TAGS
#Transformers #Text Classification #bert-base-uncased #emotion-classification #text-classification #en #dataset-dair-ai/emotion #dataset-SetFit/emotion #region-us 

This fine tunned model will do sentiment analysis,based on 6 sentiments - 
sadness (0), joy (1), love (2), anger (3), fear (4), surprise (5)

Download and run Colab Notebook "FineTunnedBertBaseModel_Use.ipynb" for step by step guidance, which is in "Files and Versions" section.
When you run above google colab file you will require following 3 files which is in "Files and versions" section
1. URL
2. checkpoint
3. URL-00000-of-00001
Create a folder on you google drive name, folder name should be "model2.1" and save all these 3 files in it.
If you want to change folder name instead of model2.1, you want folder name should be "sentimentXYZ" then you have to change
line "classifier_2.load_weights('/content/drive/MyDrive/FineTunning2/model2.1/model')" in "FineTunnedBertBaseModel_Use.ipynb" to
"classifier_2.load_weights('/content/drive/MyDrive/FineTunning2/setimentXYZ/model')" this is the path of your save weights on
In the following path '/content/drive/MyDrive/FineTunning2/model2.1/model'
 
Overview 
BaseModel : "bert-base-uncased"
DataSet: dair-ai/emotion

Training:
After first epoch, accuracy: 0.6497
After third epoch, accuracy: 0.9360

Test:
accuracy: 0.9265

For any contribution or discussion please let me know in Discussion section.
TAGS
#Transformers #Text Classification #bert-base-uncased #emotion-classification #text-classification #en #dataset-dair-ai/emotion #dataset-SetFit/emotion #region-us 
