---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
duplicated_from: autoevaluate/natural-language-inference
model-index:
- name: autoevaluate/natural-language-inference-not-evaluated
  results:
  - task:
      type: natural-language-inference
      name: Natural Language Inference
    dataset:
      name: glue
      type: glue
      config: mrpc
      split: validation
    metrics:
    - type: accuracy
      value: 0.8284313725490197
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzNjOTc5YTVkNGVhNjVhMGZlZDhlYmJmYTVjNjU4M2MzYmEzZjFlNjA1NjRmMGJkNzYxMzRlOWIxYWNiNDcxYiIsInZlcnNpb24iOjF9.w2yR3GN0vCif0WVealSXWA5BOsOckjglV_MNtvJFtcIzzdtQ_ttBzz092wXSq_Ikc21dETjP8rlX4VutIX8ZDg
    - type: precision
      value: 0.8317460317460318
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzhmYzExMjNhZTZhNjYzMTBkZDYzNGQ3YTQzYTdkYzNjNmI1ODZjMTY2ZmU2NDhhZWM5NzQyM2NlMTcwYjkyNCIsInZlcnNpb24iOjF9.NQJgypOCQrPavNNNFb4XcvGWi0QAs6dnGZhzMlPahrs3h667hiVR6bBfHDoiPjGEWULN9_5jO9G8ZW_CqutbBg
    - type: recall
      value: 0.9390681003584229
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWZiNzBkMzA3ODI5OGMxYTdlMGQxNGY0MGMxZmMzMDJlYzZjMDI5NjY1YWY5OTRiMDVlMzE5MjZhN2MxZDc0ZSIsInZlcnNpb24iOjF9.OtR_lHw_Qis0vpWCGCBltUmQ--iVJm6FZjmajIiKe9Hyn9rn9cG-_ZhSBc1geAwXUIcwy4oGW65DhXLeu0UKCA
    - type: auc
      value: 0.8847906421049706
      name: AUC
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGIyYjU5N2M1MzM5MDY1MzZmYTQwY2MyYTZiZmU4YjM0ZjliZjAxOTk1NDlhNTI5ZDUyMDY4NDkzMTY3NTc1OSIsInZlcnNpb24iOjF9.ok5fv946G94PFiT-RHxSG9IIY_syDgh_YA2Kc7bPCeX-7m3z0W75qKGfmGwLkE3fc9f31tjhNpQfGvc6pQG9Cg
    - type: f1
      value: 0.8821548821548822
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTkyMGM2NWIzZjhkZDZlMzQzYzdmZjFmMThjZGU1NzJkMDYzYWUzMzZhZjdjNjQxY2UwNTExZDI4MmNiODZjNyIsInZlcnNpb24iOjF9.24PUrTlGWeZGLAsEyjPHArMiAU1Mw6_QkmU59jSsOc6f1L53qLEx4X2W8SbfVauDMnuo4edGZMkzumzHGj6bDA
    - type: loss
      value: 0.4118819236755371
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzRhODg5YjM2MTRhODEyYjA3ZWM5NGNmYmQ1YTVhY2Q0YWIzNDhkNDRkNTk2YzlkYTYzM2VjM2I5MDhjMDM0NiIsInZlcnNpb24iOjF9.C9DA-vmM8wi2H8Rc3qg1g_UNoGmtOqyHiJD7Z85IViVX4eU40T_J1zW1DSlx73YtesXooVVGX1ZsOBnsfCI0Aw
---

<!-- 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. -->

# natural-language-inference

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: 0.4120
- Accuracy: 0.8284
- F1: 0.8822

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 230  | 0.4288          | 0.8039   | 0.8644 |
| No log        | 2.0   | 460  | 0.4120          | 0.8284   | 0.8822 |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1