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@@ -35,6 +35,7 @@ pipe = pipeline(model='Ngit/MiniLMv2-L6-H384-goemotions-v2', task='text-classifi
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  pipe("I am angry")
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  # [{'label': 'anger', 'score': 0.9722517132759094}]
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  ```
 
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  The following hyperparameters were used during training:
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  - learning_rate: 6e-05
@@ -53,3 +54,7 @@ The following hyperparameters were used during training:
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  | tasinhoque/text-classification-goemotions (355M) | MiniLMv2-L6-H384-goemotions-v2 | Validation | 0.514252 |0.484898 |
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  | tasinhoque/text-classification-goemotions (33M) | MiniLMv2-L6-H384-goemotions-v2 | Test | 0.501937 | 0.486890 |
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  pipe("I am angry")
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  # [{'label': 'anger', 'score': 0.9722517132759094}]
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  ```
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+ # Training hyperparameters
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  The following hyperparameters were used during training:
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  - learning_rate: 6e-05
 
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  | tasinhoque/text-classification-goemotions (355M) | MiniLMv2-L6-H384-goemotions-v2 | Validation | 0.514252 |0.484898 |
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  | tasinhoque/text-classification-goemotions (33M) | MiniLMv2-L6-H384-goemotions-v2 | Test | 0.501937 | 0.486890 |
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+ # Training Code, Evaluation & Deployment
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+
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+ Check
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+