---
license: mit
tags:
- generated_from_trainer
datasets:
- crows_pairs
metrics:
- accuracy
model-index:
- name: gpt2_crows_pairs_finetuned
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: crows_pairs
      type: crows_pairs
      config: crows_pairs
      split: test
      args: crows_pairs
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.5066225165562914
---

<!-- 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. -->

# gpt2_crows_pairs_finetuned

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the crows_pairs dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0353
- Accuracy: 0.5066
- Tp: 0.3046
- Tn: 0.2020
- Fp: 0.2748
- Fn: 0.2185

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Tp     | Tn     | Fp     | Fn     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|
| 0.9942        | 1.05  | 20   | 0.6944          | 0.4801   | 0.0464 | 0.4338 | 0.0430 | 0.4768 |
| 0.6962        | 2.11  | 40   | 0.6909          | 0.5397   | 0.4205 | 0.1192 | 0.3576 | 0.1026 |
| 0.6711        | 3.16  | 60   | 0.7195          | 0.5      | 0.3344 | 0.1656 | 0.3113 | 0.1887 |
| 0.5148        | 4.21  | 80   | 0.8547          | 0.5232   | 0.2583 | 0.2649 | 0.2119 | 0.2649 |
| 0.3053        | 5.26  | 100  | 1.1929          | 0.4868   | 0.2483 | 0.2384 | 0.2384 | 0.2748 |
| 0.1268        | 6.32  | 120  | 1.7763          | 0.4901   | 0.2384 | 0.2517 | 0.2252 | 0.2848 |
| 0.0999        | 7.37  | 140  | 2.3687          | 0.5066   | 0.2914 | 0.2152 | 0.2616 | 0.2318 |
| 0.0374        | 8.42  | 160  | 2.3493          | 0.5099   | 0.2781 | 0.2318 | 0.2450 | 0.2450 |
| 0.009         | 9.47  | 180  | 5.1845          | 0.4868   | 0.3179 | 0.1689 | 0.3079 | 0.2053 |
| 0.0316        | 10.53 | 200  | 3.6149          | 0.4934   | 0.3013 | 0.1921 | 0.2848 | 0.2219 |
| 0.0223        | 11.58 | 220  | 3.7626          | 0.4934   | 0.2384 | 0.2550 | 0.2219 | 0.2848 |
| 0.0295        | 12.63 | 240  | 2.9512          | 0.5232   | 0.3411 | 0.1821 | 0.2947 | 0.1821 |
| 0.0248        | 13.68 | 260  | 3.5709          | 0.5066   | 0.3146 | 0.1921 | 0.2848 | 0.2086 |
| 0.0387        | 14.74 | 280  | 3.5248          | 0.4801   | 0.2318 | 0.2483 | 0.2285 | 0.2914 |
| 0.0223        | 15.79 | 300  | 3.7220          | 0.5066   | 0.2483 | 0.2583 | 0.2185 | 0.2748 |
| 0.0223        | 16.84 | 320  | 4.1806          | 0.5033   | 0.2384 | 0.2649 | 0.2119 | 0.2848 |
| 0.0254        | 17.89 | 340  | 4.4477          | 0.4934   | 0.2351 | 0.2583 | 0.2185 | 0.2881 |
| 0.0002        | 18.95 | 360  | 4.2539          | 0.5298   | 0.2649 | 0.2649 | 0.2119 | 0.2583 |
| 0.0238        | 20.0  | 380  | 3.9944          | 0.5033   | 0.2318 | 0.2715 | 0.2053 | 0.2914 |
| 0.0027        | 21.05 | 400  | 4.6360          | 0.5066   | 0.2285 | 0.2781 | 0.1987 | 0.2947 |
| 0.0001        | 22.11 | 420  | 5.0025          | 0.5132   | 0.2616 | 0.2517 | 0.2252 | 0.2616 |
| 0.0135        | 23.16 | 440  | 4.2408          | 0.5      | 0.2152 | 0.2848 | 0.1921 | 0.3079 |
| 0.0004        | 24.21 | 460  | 4.9804          | 0.5066   | 0.2781 | 0.2285 | 0.2483 | 0.2450 |
| 0.0213        | 25.26 | 480  | 5.5604          | 0.4967   | 0.3046 | 0.1921 | 0.2848 | 0.2185 |
| 0.0147        | 26.32 | 500  | 5.0523          | 0.5066   | 0.2815 | 0.2252 | 0.2517 | 0.2417 |
| 0.011         | 27.37 | 520  | 4.8651          | 0.5132   | 0.2682 | 0.2450 | 0.2318 | 0.2550 |
| 0.012         | 28.42 | 540  | 4.5382          | 0.5232   | 0.3278 | 0.1954 | 0.2815 | 0.1954 |
| 0.0024        | 29.47 | 560  | 4.0583          | 0.5033   | 0.2848 | 0.2185 | 0.2583 | 0.2384 |
| 0.0001        | 30.53 | 580  | 4.4274          | 0.4967   | 0.2980 | 0.1987 | 0.2781 | 0.2252 |
| 0.0005        | 31.58 | 600  | 4.6131          | 0.5099   | 0.2980 | 0.2119 | 0.2649 | 0.2252 |
| 0.0008        | 32.63 | 620  | 4.7104          | 0.5132   | 0.2748 | 0.2384 | 0.2384 | 0.2483 |
| 0.0           | 33.68 | 640  | 4.7753          | 0.5066   | 0.2947 | 0.2119 | 0.2649 | 0.2285 |
| 0.0           | 34.74 | 660  | 4.9226          | 0.5199   | 0.2682 | 0.2517 | 0.2252 | 0.2550 |
| 0.0           | 35.79 | 680  | 5.0117          | 0.4967   | 0.3179 | 0.1788 | 0.2980 | 0.2053 |
| 0.0           | 36.84 | 700  | 5.0534          | 0.5033   | 0.3079 | 0.1954 | 0.2815 | 0.2152 |
| 0.0           | 37.89 | 720  | 5.0638          | 0.5166   | 0.2682 | 0.2483 | 0.2285 | 0.2550 |
| 0.0           | 38.95 | 740  | 5.1010          | 0.5132   | 0.2649 | 0.2483 | 0.2285 | 0.2583 |
| 0.0           | 40.0  | 760  | 5.1367          | 0.5132   | 0.2649 | 0.2483 | 0.2285 | 0.2583 |
| 0.0001        | 41.05 | 780  | 5.1730          | 0.5166   | 0.2781 | 0.2384 | 0.2384 | 0.2450 |
| 0.0           | 42.11 | 800  | 5.0295          | 0.5232   | 0.2848 | 0.2384 | 0.2384 | 0.2384 |
| 0.0           | 43.16 | 820  | 5.0261          | 0.5166   | 0.2781 | 0.2384 | 0.2384 | 0.2450 |
| 0.0           | 44.21 | 840  | 5.0447          | 0.5166   | 0.2781 | 0.2384 | 0.2384 | 0.2450 |
| 0.0126        | 45.26 | 860  | 5.0130          | 0.5232   | 0.2980 | 0.2252 | 0.2517 | 0.2252 |
| 0.0           | 46.32 | 880  | 5.0184          | 0.5066   | 0.3046 | 0.2020 | 0.2748 | 0.2185 |
| 0.0           | 47.37 | 900  | 5.0276          | 0.5066   | 0.3046 | 0.2020 | 0.2748 | 0.2185 |
| 0.0           | 48.42 | 920  | 5.0332          | 0.5066   | 0.3046 | 0.2020 | 0.2748 | 0.2185 |
| 0.0           | 49.47 | 940  | 5.0353          | 0.5066   | 0.3046 | 0.2020 | 0.2748 | 0.2185 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2