---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- go_emotions

model-index:
- name: xtremedistil-l6-h384-go-emotion
  results:
  - task:
      name: Text Classification
      type: multi_label_classification
    dataset:
      name: go_emotions
      type: emotion
      args: default
    
---
# xtremedistil-l6-h384-go-emotion
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.


### Training hyperparameters
- learning_rate=3e-05
<pre>
  Num examples = 211225
  Num Epochs = 4
  Instantaneous batch size per device = 128
  Total train batch size (w. parallel, distributed & accumulation) = 128
  Gradient Accumulation steps = 1
  Total optimization steps = 6604
 [6604/6604 53:23, Epoch 4/4]
Step	Training Loss
500	0.263200
1000	0.156900
1500	0.152500
2000	0.145400
2500	0.140500
3000	0.135900
3500	0.132800
4000	0.129400
4500	0.127200
5000	0.125700
5500	0.124400
6000	0.124100
6500	0.123400
</pre>