Cesar42
/

bert-base-uncased-emotion_v2

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 ---
 # Model Card for Model ID
+Model IA Berta_Base_Uncased entrened with dateset emotion
 ## Model Details
+Model Base: bert_base_uncased
+dataset: dair-ai/emotion
+Config train:
+num_train_epochs= 8
+learning_rate= 2e-5
+weight_decay=0.01
+batch_size: 64
+Eval examn
+ 'test_loss': 0.14830373227596283
+ 'test_accuracy': 0.9415
+ 'test_f1': 0.9411005763302622
+ 'test_runtime': 8.372
+ 'test_samples_per_second': 238.892
+ 'test_steps_per_second': 3.822
+ ## How to Use the model:
+```python
+from transformers import pipeline
+classifier = pipeline("text-classification",model='Cesar42/bert-base-uncased-emotion_v2', return_all_scores=True)
+prediction = classifier("I love using transformers. The best part is wide range of support and its easy to use", )
+print(prediction)
+"""
+output:
+[[
+{'label': 'sadness', 'score': 0.0005138228880241513},
+{'label': 'joy', 'score': 0.9972520470619202},
+{'label': 'love', 'score': 0.0007443308713845909},
+{'label': 'anger', 'score': 0.0007404946954920888},
+{'label': 'fear', 'score': 0.00032938539516180754},
+{'label': 'surprise', 'score': 0.0004197491507511586}
+]]
+"""
+```
+### Referece
+* bhadresh-savani/bert-base-uncased-emotion
+* [Colab Notebook](https://github.com/bhadreshpsavani/ExploringSentimentalAnalysis/blob/main/SentimentalAnalysisWithDistilbert.ipynb). bhadresh-savani