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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - go_emotions
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+
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+ model-index:
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+ - name: xtremedistil-l6-h384-go-emotion
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: multi_label_classification
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+ dataset:
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+ name: go_emotions
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+ type: emotion
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+ args: default
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+
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+ ---
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+ # xtremedistil-l6-h384-go-emotion
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+ This model is a fine-tuned version of [microsoft/xtremedistil-l6-h384-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h384-uncased) on the go_emotions dataset.
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+
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+
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+ ### Training hyperparameters
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+ - learning_rate=3e-05
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+ <pre>
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+ Num examples = 211225
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+ Num Epochs = 4
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+ Instantaneous batch size per device = 128
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+ Total train batch size (w. parallel, distributed & accumulation) = 128
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+ Gradient Accumulation steps = 1
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+ Total optimization steps = 6604
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+ [6604/6604 53:23, Epoch 4/4]
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+ Step Training Loss
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+ 500 0.263200
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+ 1000 0.156900
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+ 1500 0.152500
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+ 2000 0.145400
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+ 2500 0.140500
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+ 3000 0.135900
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+ 3500 0.132800
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+ 4000 0.129400
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+ 4500 0.127200
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+ 5000 0.125700
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+ 5500 0.124400
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+ 6000 0.124100
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+ 6500 0.123400
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+ </pre>