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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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+
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+ ## Model description:
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+
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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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+
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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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+
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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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+ ```