bhadresh-savani
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README.md
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---
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language:
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- en
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thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
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tags:
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- text-classification
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- go-emotion
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- pytorch
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license: apache-2.0
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datasets:
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- go_emotions
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metrics:
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- Accuracy
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---
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# Distilbert-Base-Uncased-Go-Emotion
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## Model description:
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## Training Parameters:
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```
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Num Epochs = 3
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Instantaneous batch size per device = 32
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Total train batch size (w. parallel, distributed & accumulation) = 32
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Gradient Accumulation steps = 1
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Total optimization steps = 15831
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```
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## TrainOutput:
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```
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'train_loss': 0.105500
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```
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## Evalution Output:
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```
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'eval_accuracy_thresh': 0.962023913860321,
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'eval_loss': 0.11090277135372162,
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```
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