Jo Kristian Bergum
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Update readme with links to training routine
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README.md
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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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model-index:
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- name: xtremedistil-
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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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# 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
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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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---
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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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model-index:
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- name: xtremedistil-emotion
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results:
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- task:
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name: Multi Label 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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metrics:
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- name: Accuracy
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type: accuracy
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value: NaN
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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
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[go_emotions dataset](https://huggingface.co/datasets/go_emotions).
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[![Training Notebook](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jobergum/emotion/blob/main/TrainGoEmotions.ipynb)
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This model is deployed to [aiserv.cloud](https://aiserv.cloud/) for live demo of in-Browser ML inference
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See [https://github.com/jobergum/browser-ml-inference](https://github.com/jobergum/browser-ml-inference)
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### Training hyperparameters
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- batch size 128
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- learning_rate=3e-05
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- epocs 4
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<pre>
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Num examples = 211225
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Num Epochs = 4
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