---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: glue-mrpc
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: GLUE MRPC
      type: glue
      args: mrpc
    metrics:
    - type: accuracy
      value: 0.8553921568627451
      name: Accuracy
    - type: f1
      value: 0.897391304347826
      name: F1
  - task:
      type: natural-language-inference
      name: Natural Language Inference
    dataset:
      name: glue
      type: glue
      config: mrpc
      split: validation
    metrics:
    - type: accuracy
      value: 0.8553921568627451
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmU4NDJlOWE2NmYyNjMzYWQwZWU4MTE4Mjg1ZTFmMmUzOTYxZTU1OWRmYTRiZjY4YWI0OGQ2NTUzYzA2MDRhZSIsInZlcnNpb24iOjF9.iNArgwgVl4QZlyMf4VNiZXJxG6gjG60S2k81LPI8lMwU7dr-SUDabagR0kRGMRoOck45h4G8x7sHtQU2AnBUAQ
    - type: precision
      value: 0.8716216216216216
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWNiZjBhMjQyNGYxNjcwODFjYzBlYjMyODVmODlhNWM1OTcxYzE3NTYxOGQ4NWM1NGE3YjRhMGQ4OGNhMWRmYyIsInZlcnNpb24iOjF9.q3k_FnrmYo3pP_8l2IudhN1zctJPlUm7hrzAmc-32nt_sIJ7hRpJogm30pSrhDDDqwC-gKBz2pApetsPSw-tBQ
    - type: recall
      value: 0.9247311827956989
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWY0MTljNWY4MjE2MTU1MTg1ZDU0Nzk4MzhiMGE3OTgzNTQyZDk1YWYyMjdlYTI2NDI5Yjc1YjllMGEzYzllNSIsInZlcnNpb24iOjF9.YFaiSeGk-4BfSiAEJIj45smxjib8jBsm99IVXW2FHIDGCaJu9__afJszeWnLgnd1MaUvKlk8DushrbNaI_xrCA
    - type: auc
      value: 0.90464282737351
      name: AUC
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGJkOWNmNzUyMzUzMGNiZGIyYTdlZGVlYjFlMjg5ZTc0NGY5MWRjYjVhZDMyZGUxZjk2ZjE1NTIwN2ZjOGVlNyIsInZlcnNpb24iOjF9.YLFNmEt5Iyx2lTF0M5B9GOuNfJy4b30Cx_ccOe3EIzRHbnmvNUAYtA33AqEWFDDGBCkM3O1BBvQrB-79CYx2DQ
    - type: f1
      value: 0.897391304347826
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjJiNjUxM2YxOTVhNjg1OThlMGI2NDQ2MmZjN2YyZDM4NDI4MDUyZjFjNTQwNDAzMjEyN2M2MzQxMTZhZTE4ZiIsInZlcnNpb24iOjF9.U8RflOAuvMqrWPyy3C5tU7eWRsVNi8o1IBA_l1rgH0UbbBHDXoAvJZiZaHXXV_pfI-Mrz34E4XFhHoFAwJlbDg
    - type: loss
      value: 0.6564616560935974
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGNlZTFhZDQ0MzE3YzVkMTM1YzZmYzMzNWRhZjM1OGUwYWY5YjA2YTA2YTMyMTU4MjE4M2U1ODRjMWJlMDdmOSIsInZlcnNpb24iOjF9.zEMs0_m4UGoJpUQHkcCXUhP5QLTn6on78JJIFZEMDpL8YMuWQk75-urKgfxxb1STM0Vt6SL8JFR4bz-i7MbgCQ
---

<!-- 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. -->

# glue-mrpc

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the GLUE MRPC dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6566
- Accuracy: 0.8554
- F1: 0.8974
- Combined Score: 0.8764

## 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: 5e-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: 3.0

### Training results



### Framework versions

- Transformers 4.13.0.dev0
- Pytorch 1.10.0+cu102
- Datasets 1.15.2.dev0
- Tokenizers 0.10.3