metadata
license: mit
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- f1
model-index:
- name: minilm-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- name: F1
type: f1
value: 0.931192
Based model: microsoft/MiniLM-L12-H384-uncased
Dataset: emotion
These are the results on the evaluation set:
| Attribute | Value |
|---|---|
| Training Loss | 0.163100 |
| Validation Loss | 0.192153 |
| F1 | 0.931192 |