---
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.eyJoYXNoIjoiYjQ3YmFiNmE0Y2FmNWUwZTQ2NDViMzEzMjk1ZWQyZTkyMDBmNzZkNzhmNWRmZDJiZjc0ZTEzODVhYTRlNmUxZSIsInZlcnNpb24iOjF9.qb-M6CZpsMnr7FGCaSL8vti0sh85bfzuwGqKM5nNW7fcbyi1SbIxDisDxVQ0SmZwl2Plif6lT3bBU9mer1NmCQ
    - type: precision
      value: 0.8898678414096917
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjE1MmVmODU2OTYwMTNlZjE5ZjlmY2Y5NTM3M2E4YjQ1MmE5Yjc1OTAwYjIwYWRjNGI5ZmZlZjI5NTYwZWJlYiIsInZlcnNpb24iOjF9.yf-1IHvGFLLBUPwWXCvlxblTTyeTU_KLqRLuCWDKO2coWWFKvGl_dYteujY1bUGqqzX2Ig6geTt0tVi5MuX9Aw
    - type: recall
      value: 0.9099099099099099
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTJlYTdlYWFkZDQzZjJjNjdhMDk1ZGYxYWUzNzczNGQ0MmRjMzdkNmQyYTI2YjA4N2RlNDEzN2Y4MDRmMWYwYyIsInZlcnNpb24iOjF9.Hw9PHkve1f8IiZTNAolCMmPpyyFiAOhZO7FhTxlQPGNJ3oUjzJi7S1wxVte0ZLOOXNa-jNfC-x6qOfHbJqbQDA
    - type: auc
      value: 0.9672186789593331
      name: AUC
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjhiNjBjYzQzNTg2ZDI0MDU4YWIyYjhlYzNjYjg0ODdkNTE5ZmUxNzk0OWQ0ZTFiNDY2OWMxNjVjMzk5ZTg0ZCIsInZlcnNpb24iOjF9.t9A1giBHzuGtEYs4KexQNWuj4QoSQppx30xmB6Thqhs4tE8JpglMyGB2P8KDhCquA-3a2gK2LiVT90VaHUcwAw
    - type: f1
      value: 0.8997772828507795
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODM4ZWZlNmNmODI5NmI1NmEzYTQ3MDI4ZDUxNjQxZTczY2VmMmY5ODg3OWM3ZjhlZTRlYmJkOTVlZmNkYWMyZiIsInZlcnNpb24iOjF9.P_w0jtDB66s20puJ_hvpad7JPGGgvDHHBhMxhfqmxGKU1oxba_OXgREKOxNzogsPsbXGlq7xtCPoSQSdR9VyCw
    - type: loss
      value: 0.30092036724090576
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWVhNDQ4ZDEwNzg3NGY0MjdiNmRiZGQ2ZDM5ZTI0MzNlZGZjMTNkY2I2OWIwYjk4MmIyZDk0YjgxYTZmMWE5NSIsInZlcnNpb24iOjF9.5y2feXY4wZUF1xfADCM5JQ4SOqduuUtD_p0BZzkrV7iKoJOvYDtaIpeKcGLHuX6Ikj_Kwx_nPVqBVwK6ALdEAg
    - type: matthews_correlation
      value: 0.793630584795814
      name: matthews_correlation
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWQxMzk2MzM2NmJiOWMwMGIwZDlkNTNiZmI0MWU1NjBjNTViZjk3YjQxYzU2NTUxMmFkNmM4NTYyOTJjZDQwZCIsInZlcnNpb24iOjF9.Vb_ZGOXUXO2pD0F1UuUczgDr2DusYAMpQF0cm8xpVtPhPIYGQba6AKiDJh12MoeNZIKVMUwi3cmYO1erGsbUAQ
---

<!-- 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