README.md

---
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.eyJoYXNoIjoiM2YyZGU5NjQzNGE2ZDAyNzMzMTE5OTA1ZGI3MGZlYTEyOWZkZGMyMzFmOWY2OGMzZDJkNzIwMzViYWFkMGJmNyIsInZlcnNpb24iOjF9.wnq3Nmc_iieKBGDD6Yz4crhORG7Rb5go0DgbUotEQv633amBJkjgAIQL3BvcNQWeMKxsQPomGBxYyhGbxdqxCQ
    - type: precision
      value: 0.8898678414096917
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDJlMDA3Mjk3OGY2ZTM1NWRlZGZhMDk5MWY3MDIyOWU5ZjFlY2U0NTBiOTg3YzQzYjljN2Y2MzhkMTI0MWM4YSIsInZlcnNpb24iOjF9.CTkQlCYw7Gd_SXTf8SsUrkjmPbCoA-JzkawIWqLM3o3527KjW6aeD-ZXI5SlfJC-yMFmZXI7b9HbKkICTaSxDQ
    - type: recall
      value: 0.9099099099099099
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTMwOTA5ZWZmNDRhOGFmN2ZmY2M5Njg0ZjUzOWYyZTUyZmNjMTkxMGYxZWQ5YmMxNTg0M2RmOGQ4ZTY4MzJlMiIsInZlcnNpb24iOjF9.bIt71RznYodCLorax-sun6kJkYrp9untPiG4aTKfw_OWXJQmW8tOOkx5a2l230kR0zi64bUnFYdx2jczOxExCQ
    - type: auc
      value: 0.9672186789593331
      name: AUC
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDllMjM5YWNjMTljNzg0OWRlZGM3YjZlMmRmODg3NDM4MjFjZjllMDE4MzIyYjE0ZTk1MDgyMWVhMGNlODgxZiIsInZlcnNpb24iOjF9.FTqqzim42RGWAy-RgiQ3mGc7DbRGcThJ4TiByh6AjxFsJHUgX2SWqV1LTSTN6WmkYitdiErM28aEhhDhLnD0Bw
    - type: f1
      value: 0.8997772828507795
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODY3MDc4ODZmODBmMTMyODUzOGQzODg0MjdlNWEyM2ZhNjJjNGY2MWE1Y2IyNDY0ZmI2YjdhNGIxYzJhOWRhNCIsInZlcnNpb24iOjF9.rnPDttnVCjPQsNaD8WQCtyi-AveeLm0M5Xz8gQftq_XOMydPOJuR9h0I-5o-RXfQzGnHFoqzJspqtgJWi2dADA
    - type: loss
      value: 0.30092036724090576
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjg5ZjU4ZDdlNjc3NzYxNDk5NTYwYjlhZWY4ZjkwMDcwYjliMGI4MmM1MWVlZmJlMWRlZjUxNjA5NTczMTA3NyIsInZlcnNpb24iOjF9.Ayx_RZ_j3iSWm2Lz8YwsKxA4n4BEdwqNqjQGzeKlHOuwDn9tSHgsFiEW4i7EgroNGZWsMqJjrucu1g8s1VU7Cw
    - type: matthews_correlation
      value: 0.793630584795814
      name: matthews_correlation
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDNhMDc2YjBkNjk5MDY5MDU0NGExMWE0ZDlkZWYxZTczZDY4ZmVlOGE3ZmU0OWNhNmFlYzM3NjQxMWI5MjdhYyIsInZlcnNpb24iOjF9.hoed2rRtuZzXGz7LUGnrqOUL4wm-s_kO-_T3PTCpM5-A4ZtdZzixUl-WCeQRpzOw9wpKOuuD0K06U73lALQyAg
---

<!-- 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