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.eyJoYXNoIjoiOTFlOTdiMDAzZGViNDg5M2I3NTgwMjc1ZjkzY2MwOTZjOWZiYmU0NmRmM2IwNDY5YmRmNTVlNDY0NDE2NWZmZCIsInZlcnNpb24iOjF9.6d1x30eSEs8YfDPPtICHQfXEg4VnrGUdVSWLf2_vUldUToSAw74qAUWSbk6sEk1mzPDPVw4RczluYWU0IZUdBw
    - type: precision
      value: 0.8898678414096917
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzhmZmViMzkzODA3ODExNWY1MDg0NzBlNGZhYTZlYzFhZDc1ZGI0Nzk1NWI0ZjBlODlhODQ4OGVmN2MwYWNhNiIsInZlcnNpb24iOjF9.1fR41yn4FE80VVRfG9dWm5icW16gBg4o_lSmnHqe3nIhenIIkoNCfks6VqNfd0QWSMM4TpUPRku5q1iiz2aIDQ
    - type: recall
      value: 0.9099099099099099
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzk0MmVjYWU4NzkzZWIyMGJhNzRlNWFkNGJmZDcyYzMxZmNiMGYzYzYyYzA5NjhhN2I4OWEwNDAzZmYwMTJkYSIsInZlcnNpb24iOjF9.zQD5ytQnIJ4UEx5lFHWny8NuPPp79Z6O7sJJsWfqR7L6cwQUx9pycU97zyL9Rw8yRcngZbgyDKldmhn5vR8dCw
    - type: auc
      value: 0.9672186789593331
      name: AUC
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGZlMGMwODQ0NmMwNDE3NzU1YWRkYTMyMGI0NWI4MDA2NTFkNWI1MWM4NjNmYTdkMjA5OTRmY2U3NDUwMWFjNyIsInZlcnNpb24iOjF9.PUmHEc87_81R2PoIxmcVLulheA475I1IIVqIP-9huiFL5mhzP6S4Li9fBe-SpcGLmWHvL1G-HyB6dMsE8e9HDw
    - type: f1
      value: 0.8997772828507795
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzkwZjYzYjI4ZGJjZjk0NWFiY2IxOTEyYmJmOGRjM2IwNzNmZTdlMjFjNzc1MmNmZTA5MDcwMTgzZTAzOWVmNyIsInZlcnNpb24iOjF9.GGM0p5vy4tdmWKk6aFLfnQHAS2xYl7VBHBsuckgbhP_UYcZp0bGorbHQkHAdB2pJaOjtc1sSUR5AV30eCBayDw
    - type: loss
      value: 0.30092036724090576
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmQ5N2Y4NDYzNzUyMGJlODQxZDA0Y2QyNmE0M2IyM2VhOTVlYWVjMDZmZmE3NWMwMTg0MGE4YTQwNzVmMjA2YyIsInZlcnNpb24iOjF9.E73R7ch2UnYuAA4KQzoefY0u6sgJ0FP-h2IWss2L0tPHXxAycSGmADAjUmBjfPWX3-XqhcZwm1-5QB-q6ujHDA
    - type: matthews_correlation
      value: 0.793630584795814
      name: matthews_correlation
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2Q5YzEyN2NhYzg2ZDVmZTA1ZTEzNjk1ZjM1NjliZDEwNjhjZDdhN2E4NTlhZjA1M2M3MmFiNGRlN2I5NjU1MiIsInZlcnNpb24iOjF9.qjSNWo5Z1_b29Rw5kH2ffWSsDx9KVVZHJ8JUyZdQ7LEDQyOvi8RIzN6ich_FlfFLmw4MuZUKOhbk5Pxocm33AA
---

<!-- 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