---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- crows_pairs
metrics:
- accuracy
model-index:
- name: t5-small_crows_pairs_finetuned_HBRPOI
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: crows_pairs
      type: crows_pairs
      config: crows_pairs
      split: test
      args: crows_pairs
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.6490066225165563
---

<!-- 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. -->

# t5-small_crows_pairs_finetuned_HBRPOI

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the crows_pairs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3485
- Accuracy: 0.6490
- Tp: 0.4934
- Tn: 0.1556
- Fp: 0.3411
- Fn: 0.0099

## 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: 0.0005
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Tp     | Tn     | Fp     | Fn     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|
| 0.4336        | 1.05  | 20   | 0.3559          | 0.5033   | 0.5033 | 0.0    | 0.4967 | 0.0    |
| 0.3726        | 2.11  | 40   | 0.3608          | 0.5033   | 0.5033 | 0.0    | 0.4967 | 0.0    |
| 0.317         | 3.16  | 60   | 0.3112          | 0.5099   | 0.5033 | 0.0066 | 0.4901 | 0.0    |
| 0.259         | 4.21  | 80   | 0.2822          | 0.5662   | 0.5    | 0.0662 | 0.4305 | 0.0033 |
| 0.2439        | 5.26  | 100  | 0.3249          | 0.7119   | 0.4934 | 0.2185 | 0.2781 | 0.0099 |
| 0.1824        | 6.32  | 120  | 0.3082          | 0.6093   | 0.4934 | 0.1159 | 0.3808 | 0.0099 |
| 0.1549        | 7.37  | 140  | 0.3217          | 0.5960   | 0.4967 | 0.0993 | 0.3974 | 0.0066 |
| 0.1312        | 8.42  | 160  | 0.3365          | 0.6325   | 0.4934 | 0.1391 | 0.3576 | 0.0099 |
| 0.1158        | 9.47  | 180  | 0.3485          | 0.6490   | 0.4934 | 0.1556 | 0.3411 | 0.0099 |


### Framework versions

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