---
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.eyJoYXNoIjoiOWY0OWI1MDEwOGU0OGU1MDkwN2RhZDIxYWUzNjc0ZTdhYzBlZjZlODY4NjdhYTAzZWQ5YjM5OGE2ZmIzMWQzOSIsInZlcnNpb24iOjF9.hcAWhrsrj1jbkjutDTvsIbfTMW3LCQ5ASMdPRme84tnPETSxMvyD3Jdap24XySAEdglhI-8e7Bzxhriur7CQAQ
    - type: precision
      value: 0.8898678414096917
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTZkNTY0N2IyODEwN2Q2YjY5NDk5NTlmNTBhMTIyOGYyNzUzZmE1NjEwNmEzODhkZmZhZmU3OGZmNTdiMDk4OCIsInZlcnNpb24iOjF9.1rIs3ZnUAUjXnd6rAihsUDDtmG8uBNPDdV429_-8RoBijGm9EZoWTg3-naCFAVJC3IMfSrdTKt1PHChcd5aiAw
    - type: recall
      value: 0.9099099099099099
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWFlNmEwNDVkY2JlNDgxOTYwZThhZDc4NTMwOGQ1ZDc5YjM4OTllMTRiMDk3ZTJlZGExNjg0NWYwN2VkZWYyOCIsInZlcnNpb24iOjF9.4L8Wzz4m7InEScIVH7Xv2M0Dvf9ej7K_xzpfV67ckE7Bho4snFQ9NrDihpxloErMuqNgYa16X8b3yRcDtNI-Cw
    - type: auc
      value: 0.9672186789593331
      name: AUC
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGExZWU4MjgwZWU2OTgxYjJkODZmZjE0Y2M3MWZjNWNiNzk4YjhkYjZhZWQ4NjE1MjQzZmIxMDc3MGM4ZGY1MSIsInZlcnNpb24iOjF9.p0sDV5eJ0-yETPadJ7abgS-FdmzFsRs4jpAk8oRtAP2y5IhauTBbN9ki7-6aZFvAL2_FBTXE2tkktrqkwdDhBw
    - type: f1
      value: 0.8997772828507795
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2ZlMzlmYjI0NjMzNDM5MGY0YzBhMWY3YjNkMGI4MTgzNDBjYzcxMzhiZWIxOWI3MjJiYzkwOTc3YmY1ZGViZCIsInZlcnNpb24iOjF9.ZlLSiUiws0lzlnYzntz8xLcNigC80b9ABzZy53hpxJss1aS-o_Kjv-UZvQCD6Wy9cDNwpuTjCvX8Ouqq9kyBBA
    - type: loss
      value: 0.30092036724090576
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDZlNjRhOGM1ODA2M2VhZTAzOGQ5MjdiOTJlMDMxYWYzNGU5ODc3OTM4MjE3YzNiMmYxMzBmOTJiZGYxOGQ4MyIsInZlcnNpb24iOjF9.NCTGeW0ejTEZeulWUzjurbjSG5o91tEWyqm9-OcYHWY3yLoGEkMZ-6AvCJiKV3YEFejSdMU4keUGGAQF-U6uAw
    - type: matthews_correlation
      value: 0.793630584795814
      name: matthews_correlation
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWU1ZjhmZjg2M2YzZDkwOTBmNjMzODM2ODJhZTRiMzI2NGNkNzgxZDM2MGViMjNkNmI2MWMxNmU4OTA2MDM2ZCIsInZlcnNpb24iOjF9.j43XA6x_UMKgss0KOM337iHq-0SAOZoxOmhJxkP7On_bdUPboOlG16j_lRJwDGhwdtGlylZPhA71AS-AcFafDw
---

<!-- 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