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natural-language-inference

Text Classification
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natural-language-inference
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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: natural-language-inference
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      config: mrpc
      split: train
      args: mrpc
    metrics:
    - type: accuracy
      value: 0.8284313725490197
      name: Accuracy
    - type: f1
      value: 0.8821548821548822
      name: F1
  - task:
      type: natural-language-inference
      name: Natural Language Inference
    dataset:
      name: glue
      type: glue
      config: mrpc
      split: validation
    metrics:
    - type: accuracy
      value: 0.8284313725490197
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2M5YTZkYzE2NWFiYmNiNjljMjEzOWFkMzUyNDNhZmY0YjVjZmVlYjYzYzVmYTQyOGRiOTkyM2ZlZjMyMDVjMSIsInZlcnNpb24iOjF9.UjLZUc4z71OQewLCeA3tNjUpiZ8RfoojFDZBbC1hAAGUu38PKHg9EjLLE9_xV_Q0UrlQZnU_1gCjisczRnuRBQ
    - type: precision
      value: 0.8317460317460318
      name: Precision
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDUwN2JjZTgwYzI5MWJjYTY4ZjJmZmI1MzMyNzdkMmU3MzZmOGIzNDg1NjljYzQ3NDM4NDI3ZmJmN2E1ZGFlYyIsInZlcnNpb24iOjF9.2_97LjZNzaqr1Y_5KS3drJXod88tnR8nxueoykW5HyAjOZWyHUxWnVYCehp69uStMqZZdEoIcmEbUO-G9UtsBQ
    - type: recall
      value: 0.9390681003584229
      name: Recall
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmY0YTA5OTJmNDA1ZWMwODFjM2ZjYTQ2NDk3YTVjMWVlODk3MDAwNGQ5NTIxMDNmNWNiZjVjZjNkMjZkMjRhNCIsInZlcnNpb24iOjF9.lzgiHn52oU5rfHt5nn6MCLD96EQ7v617tnyBQrvyXRRhNTbRnEahIw-HlgGwttBEvIuY3sdC-PO1_27_B4NRBg
    - type: auc
      value: 0.8847906421049706
      name: AUC
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODE0NmY0MzdjMWU4OTk3YzRjYzNmZDlmODY4ZTY2MTI3ODgyMGIwNTBkYTJlZjlmYmQwMWQ5YjZmYmRiNmVhMSIsInZlcnNpb24iOjF9.w9SJJidX_yNOl3OpJ06h8uwdD1AE-29wC6h3FkzAuOg9Je3zebrIpANRCeS7Dlx0XVAYgrPx0fHGpEmE6xycAQ
    - type: f1
      value: 0.8821548821548822
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjRhNGQxYjZiMTNlNWNlZmNlMzI3YzMzNTZjYTM4ZmRlMmMwN2U2ODhhYjlkOTA2M2U5YTlhNWYzMzM1OGRiYSIsInZlcnNpb24iOjF9.mhZ9x1uP2duocbA1J5QwZ8KmjanY1bsyhS4jWXdr3Kmx6crIzTEie_7NxnoMhVvZSah-bnm9u2ZwncKevz38Dg
    - type: loss
      value: 0.4118819236755371
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGQyNzc3ZmIwMDZiY2IwNmM1NjlhNTUwOWI1OTcwOWQ0ZWQxMGNjOWFkNDkzYWVjNDcyYmNkZGJjOWIxYzg2ZiIsInZlcnNpb24iOjF9.0MSbwf_Ac8NLHAHueYvlqMpoIvn6PV0okEkJZOQyxmX0x1f8jqoIgyPciKNHxvzKJn_lyKbWmWGhbhrsDcebDQ
---

<!-- 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