---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: autoevaluate-binary-classification
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      args: sst2
    metrics:
    - type: accuracy
      value: 0.8967889908256881
      name: Accuracy
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      config: sst2
      split: validation
    metrics:
    - type: accuracy
      value: 0.8967889908256881
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODYyYzVkYjBhYjYzYzJjOWVmNmM3ZjU0NGUwMDdlM2YzYzc0YTZhODg3OWU5MDAxNDFlYmQxYTY5NWNkODEzNSIsInZlcnNpb24iOjF9.2sVz9OnBR_sWbfCXaPECZrdxUA1ec4zOrTQa0mWMnHZO22-mb7oUUto4Zf88neSZd0GpKKFlp3_DtaZE-fR5DA
    - type: precision
      value: 0.8898678414096917
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDY2NGUxYWEzNmI0ZDg3NmRlMjA5OTVkZGY1MTlmNDM1MjczNGQxNzY4NjVmZTM2NzU5MGRhNzU3MTZmZjlkNCIsInZlcnNpb24iOjF9.0NYcCYHeHqJB7AYk2P3f2zysLIdHHVvjgKX5Rfk4bCfECDjxTzDYKyH_nNQ-Thifrd3j517NkFGeJNX22bSZCw
    - type: recall
      value: 0.9099099099099099
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGNkMGUwNTBmZDgzZDJjNDA1ZjA2MjE4ZWFjZGQ2NWQ1ZmU4NjAxMGU1Mzc5YTg4MzcwOTQ1YTgzM2EyNmZkOCIsInZlcnNpb24iOjF9.5iPQ7kP_QKTS5tdpu0KsVVLI26ala7kxBP1eilPignOLCc-gmhuJcrufQUGf0VslApT1gQUb4l6PUvP74FwDDQ
    - type: auc
      value: 0.9672186789593331
      name: AUC
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTI3MGE5NmYyNzY5YzQ3MmJmNGQ0NjgwOTk1YzY3ZjRjNjViNzcxZDgyNzMxMDJiZTc3NjE2ZGRjYzE2ZThmNSIsInZlcnNpb24iOjF9.qqFgxzJYtr7hZXTn07uXtj8sfaBxWToyDXdsigQXxgA4C7X2QK42b5x1E8j1WKp0sHHWltmBpslNPuFx9JM6DA
    - type: f1
      value: 0.8997772828507795
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWE0ZTg2NmRhMTYzZDFiZWZlNzlhMzI1OGYyOGM2OTA1NTFiOTRmZjZhODdlOWE2ZWZlMWIwNjJkZmY1ZWEzNCIsInZlcnNpb24iOjF9.6cKV-SgBLxoYCoJE77LNzhlHlGSYHlmdSH-ODl2JlisdfldiCiKcyZ81fjEwYu74uznbkVN09s_xBaZJ4Og2Aw
    - type: loss
      value: 0.30092036724090576
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzk0Y2RkYzQ5MTMxNzAzZGRlYTU2OGYwYzExZmYxYjQ2YTBkYTM1NjY0YjhlOGExMTkyYmM5ZDAxY2QwOWUxOCIsInZlcnNpb24iOjF9.i7J8HW_2QfiLWWqddRyy9d383AGwJo4QUbC-xZmNtRaUn7wq-3HCjPFCVujzTZNFjiL_6KWSEiFr7AKjRwOKDA
    - type: matthews_correlation
      value: 0.793630584795814
      name: matthews_correlation
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWM2NjViY2VjNWI5MzdjNTlhMjFhNzg0ZWE5NDBhNWYwN2ZjNjEyZTEyZTM3YWFhY2ZmZGM5NWM1YThmNDhjNyIsInZlcnNpb24iOjF9.ocagJb9gQAFPpBSGzRVAud6-nxVtNVJ-Jqy97BlUMwRl0bTurTa22TUYfZyXkF9fjvMZ9o3A5xtwPSQGuOypDw
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# binary-classification

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3009
- Accuracy: 0.8968

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.175         | 1.0   | 4210 | 0.3009          | 0.8968   |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1