---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: best_model-yelp_polarity-16-42
  results: []
---

<!-- 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. -->

# best_model-yelp_polarity-16-42

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3113
- Accuracy: 0.875

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 0.5515          | 0.75     |
| No log        | 2.0   | 2    | 0.5515          | 0.75     |
| No log        | 3.0   | 3    | 0.5515          | 0.75     |
| No log        | 4.0   | 4    | 0.5515          | 0.75     |
| No log        | 5.0   | 5    | 0.5514          | 0.75     |
| No log        | 6.0   | 6    | 0.5513          | 0.75     |
| No log        | 7.0   | 7    | 0.5512          | 0.75     |
| No log        | 8.0   | 8    | 0.5510          | 0.75     |
| No log        | 9.0   | 9    | 0.5508          | 0.75     |
| 0.4598        | 10.0  | 10   | 0.5506          | 0.75     |
| 0.4598        | 11.0  | 11   | 0.5503          | 0.75     |
| 0.4598        | 12.0  | 12   | 0.5500          | 0.75     |
| 0.4598        | 13.0  | 13   | 0.5497          | 0.75     |
| 0.4598        | 14.0  | 14   | 0.5493          | 0.75     |
| 0.4598        | 15.0  | 15   | 0.5489          | 0.75     |
| 0.4598        | 16.0  | 16   | 0.5486          | 0.75     |
| 0.4598        | 17.0  | 17   | 0.5482          | 0.75     |
| 0.4598        | 18.0  | 18   | 0.5478          | 0.75     |
| 0.4598        | 19.0  | 19   | 0.5475          | 0.75     |
| 0.4323        | 20.0  | 20   | 0.5472          | 0.75     |
| 0.4323        | 21.0  | 21   | 0.5469          | 0.75     |
| 0.4323        | 22.0  | 22   | 0.5467          | 0.75     |
| 0.4323        | 23.0  | 23   | 0.5464          | 0.75     |
| 0.4323        | 24.0  | 24   | 0.5462          | 0.75     |
| 0.4323        | 25.0  | 25   | 0.5459          | 0.75     |
| 0.4323        | 26.0  | 26   | 0.5458          | 0.75     |
| 0.4323        | 27.0  | 27   | 0.5458          | 0.75     |
| 0.4323        | 28.0  | 28   | 0.5458          | 0.75     |
| 0.4323        | 29.0  | 29   | 0.5454          | 0.75     |
| 0.4032        | 30.0  | 30   | 0.5448          | 0.75     |
| 0.4032        | 31.0  | 31   | 0.5440          | 0.75     |
| 0.4032        | 32.0  | 32   | 0.5434          | 0.75     |
| 0.4032        | 33.0  | 33   | 0.5425          | 0.75     |
| 0.4032        | 34.0  | 34   | 0.5415          | 0.75     |
| 0.4032        | 35.0  | 35   | 0.5403          | 0.75     |
| 0.4032        | 36.0  | 36   | 0.5389          | 0.75     |
| 0.4032        | 37.0  | 37   | 0.5374          | 0.75     |
| 0.4032        | 38.0  | 38   | 0.5360          | 0.75     |
| 0.4032        | 39.0  | 39   | 0.5343          | 0.75     |
| 0.3556        | 40.0  | 40   | 0.5322          | 0.75     |
| 0.3556        | 41.0  | 41   | 0.5305          | 0.75     |
| 0.3556        | 42.0  | 42   | 0.5291          | 0.75     |
| 0.3556        | 43.0  | 43   | 0.5279          | 0.75     |
| 0.3556        | 44.0  | 44   | 0.5264          | 0.75     |
| 0.3556        | 45.0  | 45   | 0.5250          | 0.75     |
| 0.3556        | 46.0  | 46   | 0.5230          | 0.75     |
| 0.3556        | 47.0  | 47   | 0.5217          | 0.75     |
| 0.3556        | 48.0  | 48   | 0.5209          | 0.75     |
| 0.3556        | 49.0  | 49   | 0.5198          | 0.75     |
| 0.2992        | 50.0  | 50   | 0.5190          | 0.75     |
| 0.2992        | 51.0  | 51   | 0.5184          | 0.75     |
| 0.2992        | 52.0  | 52   | 0.5170          | 0.75     |
| 0.2992        | 53.0  | 53   | 0.5162          | 0.75     |
| 0.2992        | 54.0  | 54   | 0.5153          | 0.75     |
| 0.2992        | 55.0  | 55   | 0.5141          | 0.75     |
| 0.2992        | 56.0  | 56   | 0.5133          | 0.75     |
| 0.2992        | 57.0  | 57   | 0.5117          | 0.75     |
| 0.2992        | 58.0  | 58   | 0.5105          | 0.75     |
| 0.2992        | 59.0  | 59   | 0.5097          | 0.75     |
| 0.2515        | 60.0  | 60   | 0.5083          | 0.75     |
| 0.2515        | 61.0  | 61   | 0.5063          | 0.75     |
| 0.2515        | 62.0  | 62   | 0.5045          | 0.75     |
| 0.2515        | 63.0  | 63   | 0.5019          | 0.75     |
| 0.2515        | 64.0  | 64   | 0.4990          | 0.75     |
| 0.2515        | 65.0  | 65   | 0.4951          | 0.75     |
| 0.2515        | 66.0  | 66   | 0.4909          | 0.75     |
| 0.2515        | 67.0  | 67   | 0.4877          | 0.7812   |
| 0.2515        | 68.0  | 68   | 0.4854          | 0.7812   |
| 0.2515        | 69.0  | 69   | 0.4830          | 0.7812   |
| 0.2069        | 70.0  | 70   | 0.4801          | 0.7812   |
| 0.2069        | 71.0  | 71   | 0.4776          | 0.7812   |
| 0.2069        | 72.0  | 72   | 0.4750          | 0.7812   |
| 0.2069        | 73.0  | 73   | 0.4728          | 0.7812   |
| 0.2069        | 74.0  | 74   | 0.4715          | 0.7812   |
| 0.2069        | 75.0  | 75   | 0.4701          | 0.7812   |
| 0.2069        | 76.0  | 76   | 0.4695          | 0.7812   |
| 0.2069        | 77.0  | 77   | 0.4686          | 0.7812   |
| 0.2069        | 78.0  | 78   | 0.4681          | 0.8125   |
| 0.2069        | 79.0  | 79   | 0.4664          | 0.8125   |
| 0.1625        | 80.0  | 80   | 0.4640          | 0.8125   |
| 0.1625        | 81.0  | 81   | 0.4609          | 0.8125   |
| 0.1625        | 82.0  | 82   | 0.4572          | 0.7812   |
| 0.1625        | 83.0  | 83   | 0.4533          | 0.7812   |
| 0.1625        | 84.0  | 84   | 0.4497          | 0.7812   |
| 0.1625        | 85.0  | 85   | 0.4464          | 0.7812   |
| 0.1625        | 86.0  | 86   | 0.4433          | 0.7812   |
| 0.1625        | 87.0  | 87   | 0.4408          | 0.8125   |
| 0.1625        | 88.0  | 88   | 0.4384          | 0.8125   |
| 0.1625        | 89.0  | 89   | 0.4360          | 0.8438   |
| 0.1355        | 90.0  | 90   | 0.4335          | 0.8438   |
| 0.1355        | 91.0  | 91   | 0.4312          | 0.8438   |
| 0.1355        | 92.0  | 92   | 0.4290          | 0.8438   |
| 0.1355        | 93.0  | 93   | 0.4270          | 0.8438   |
| 0.1355        | 94.0  | 94   | 0.4252          | 0.8438   |
| 0.1355        | 95.0  | 95   | 0.4230          | 0.8438   |
| 0.1355        | 96.0  | 96   | 0.4206          | 0.8438   |
| 0.1355        | 97.0  | 97   | 0.4182          | 0.8438   |
| 0.1355        | 98.0  | 98   | 0.4160          | 0.8438   |
| 0.1355        | 99.0  | 99   | 0.4139          | 0.8438   |
| 0.1195        | 100.0 | 100  | 0.4117          | 0.8438   |
| 0.1195        | 101.0 | 101  | 0.4093          | 0.8438   |
| 0.1195        | 102.0 | 102  | 0.4067          | 0.8438   |
| 0.1195        | 103.0 | 103  | 0.4044          | 0.875    |
| 0.1195        | 104.0 | 104  | 0.4020          | 0.875    |
| 0.1195        | 105.0 | 105  | 0.3995          | 0.875    |
| 0.1195        | 106.0 | 106  | 0.3971          | 0.875    |
| 0.1195        | 107.0 | 107  | 0.3945          | 0.875    |
| 0.1195        | 108.0 | 108  | 0.3918          | 0.8438   |
| 0.1195        | 109.0 | 109  | 0.3890          | 0.8438   |
| 0.1029        | 110.0 | 110  | 0.3859          | 0.8438   |
| 0.1029        | 111.0 | 111  | 0.3827          | 0.8438   |
| 0.1029        | 112.0 | 112  | 0.3800          | 0.8438   |
| 0.1029        | 113.0 | 113  | 0.3779          | 0.8438   |
| 0.1029        | 114.0 | 114  | 0.3759          | 0.8438   |
| 0.1029        | 115.0 | 115  | 0.3747          | 0.8438   |
| 0.1029        | 116.0 | 116  | 0.3736          | 0.8438   |
| 0.1029        | 117.0 | 117  | 0.3726          | 0.8438   |
| 0.1029        | 118.0 | 118  | 0.3713          | 0.8438   |
| 0.1029        | 119.0 | 119  | 0.3695          | 0.8438   |
| 0.0883        | 120.0 | 120  | 0.3679          | 0.8438   |
| 0.0883        | 121.0 | 121  | 0.3657          | 0.8438   |
| 0.0883        | 122.0 | 122  | 0.3641          | 0.8438   |
| 0.0883        | 123.0 | 123  | 0.3627          | 0.8438   |
| 0.0883        | 124.0 | 124  | 0.3614          | 0.8438   |
| 0.0883        | 125.0 | 125  | 0.3605          | 0.8438   |
| 0.0883        | 126.0 | 126  | 0.3596          | 0.875    |
| 0.0883        | 127.0 | 127  | 0.3584          | 0.875    |
| 0.0883        | 128.0 | 128  | 0.3568          | 0.875    |
| 0.0883        | 129.0 | 129  | 0.3553          | 0.875    |
| 0.0747        | 130.0 | 130  | 0.3534          | 0.875    |
| 0.0747        | 131.0 | 131  | 0.3512          | 0.875    |
| 0.0747        | 132.0 | 132  | 0.3486          | 0.875    |
| 0.0747        | 133.0 | 133  | 0.3465          | 0.875    |
| 0.0747        | 134.0 | 134  | 0.3452          | 0.8438   |
| 0.0747        | 135.0 | 135  | 0.3436          | 0.8438   |
| 0.0747        | 136.0 | 136  | 0.3415          | 0.8438   |
| 0.0747        | 137.0 | 137  | 0.3400          | 0.8438   |
| 0.0747        | 138.0 | 138  | 0.3382          | 0.8438   |
| 0.0747        | 139.0 | 139  | 0.3366          | 0.875    |
| 0.0652        | 140.0 | 140  | 0.3352          | 0.875    |
| 0.0652        | 141.0 | 141  | 0.3341          | 0.875    |
| 0.0652        | 142.0 | 142  | 0.3327          | 0.875    |
| 0.0652        | 143.0 | 143  | 0.3295          | 0.875    |
| 0.0652        | 144.0 | 144  | 0.3268          | 0.875    |
| 0.0652        | 145.0 | 145  | 0.3241          | 0.875    |
| 0.0652        | 146.0 | 146  | 0.3216          | 0.875    |
| 0.0652        | 147.0 | 147  | 0.3187          | 0.875    |
| 0.0652        | 148.0 | 148  | 0.3162          | 0.875    |
| 0.0652        | 149.0 | 149  | 0.3138          | 0.875    |
| 0.0542        | 150.0 | 150  | 0.3113          | 0.875    |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.4.0
- Tokenizers 0.13.3