---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-sst-2-16-21
  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. -->

# bert-base-uncased-sst-2-16-21

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: 0.5327
- Accuracy: 0.6562

## 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    | 0.6100          | 0.5938   |
| No log        | 2.0   | 2    | 0.6101          | 0.5938   |
| No log        | 3.0   | 3    | 0.6101          | 0.5938   |
| No log        | 4.0   | 4    | 0.6101          | 0.5938   |
| No log        | 5.0   | 5    | 0.6100          | 0.5938   |
| No log        | 6.0   | 6    | 0.6099          | 0.5938   |
| No log        | 7.0   | 7    | 0.6099          | 0.5938   |
| No log        | 8.0   | 8    | 0.6099          | 0.5938   |
| No log        | 9.0   | 9    | 0.6097          | 0.5938   |
| 0.6585        | 10.0  | 10   | 0.6097          | 0.5938   |
| 0.6585        | 11.0  | 11   | 0.6095          | 0.5938   |
| 0.6585        | 12.0  | 12   | 0.6094          | 0.5938   |
| 0.6585        | 13.0  | 13   | 0.6093          | 0.5938   |
| 0.6585        | 14.0  | 14   | 0.6092          | 0.5938   |
| 0.6585        | 15.0  | 15   | 0.6088          | 0.5938   |
| 0.6585        | 16.0  | 16   | 0.6086          | 0.5938   |
| 0.6585        | 17.0  | 17   | 0.6083          | 0.5938   |
| 0.6585        | 18.0  | 18   | 0.6078          | 0.5938   |
| 0.6585        | 19.0  | 19   | 0.6074          | 0.625    |
| 0.6577        | 20.0  | 20   | 0.6070          | 0.625    |
| 0.6577        | 21.0  | 21   | 0.6064          | 0.625    |
| 0.6577        | 22.0  | 22   | 0.6058          | 0.625    |
| 0.6577        | 23.0  | 23   | 0.6051          | 0.625    |
| 0.6577        | 24.0  | 24   | 0.6044          | 0.625    |
| 0.6577        | 25.0  | 25   | 0.6038          | 0.625    |
| 0.6577        | 26.0  | 26   | 0.6035          | 0.625    |
| 0.6577        | 27.0  | 27   | 0.6033          | 0.625    |
| 0.6577        | 28.0  | 28   | 0.6033          | 0.625    |
| 0.6577        | 29.0  | 29   | 0.6030          | 0.625    |
| 0.6396        | 30.0  | 30   | 0.6028          | 0.625    |
| 0.6396        | 31.0  | 31   | 0.6025          | 0.625    |
| 0.6396        | 32.0  | 32   | 0.6021          | 0.625    |
| 0.6396        | 33.0  | 33   | 0.6019          | 0.625    |
| 0.6396        | 34.0  | 34   | 0.6016          | 0.625    |
| 0.6396        | 35.0  | 35   | 0.6015          | 0.625    |
| 0.6396        | 36.0  | 36   | 0.6014          | 0.5938   |
| 0.6396        | 37.0  | 37   | 0.6013          | 0.5938   |
| 0.6396        | 38.0  | 38   | 0.6010          | 0.5938   |
| 0.6396        | 39.0  | 39   | 0.6008          | 0.5938   |
| 0.5911        | 40.0  | 40   | 0.6006          | 0.5938   |
| 0.5911        | 41.0  | 41   | 0.6002          | 0.5938   |
| 0.5911        | 42.0  | 42   | 0.5998          | 0.5938   |
| 0.5911        | 43.0  | 43   | 0.5992          | 0.5938   |
| 0.5911        | 44.0  | 44   | 0.5985          | 0.625    |
| 0.5911        | 45.0  | 45   | 0.5980          | 0.625    |
| 0.5911        | 46.0  | 46   | 0.5976          | 0.625    |
| 0.5911        | 47.0  | 47   | 0.5974          | 0.625    |
| 0.5911        | 48.0  | 48   | 0.5975          | 0.625    |
| 0.5911        | 49.0  | 49   | 0.5977          | 0.625    |
| 0.5576        | 50.0  | 50   | 0.5980          | 0.625    |
| 0.5576        | 51.0  | 51   | 0.5984          | 0.625    |
| 0.5576        | 52.0  | 52   | 0.5990          | 0.625    |
| 0.5576        | 53.0  | 53   | 0.5992          | 0.625    |
| 0.5576        | 54.0  | 54   | 0.5995          | 0.625    |
| 0.5576        | 55.0  | 55   | 0.5999          | 0.5938   |
| 0.5576        | 56.0  | 56   | 0.6003          | 0.5938   |
| 0.5576        | 57.0  | 57   | 0.6008          | 0.5938   |
| 0.5576        | 58.0  | 58   | 0.6012          | 0.5938   |
| 0.5576        | 59.0  | 59   | 0.6015          | 0.5938   |
| 0.499         | 60.0  | 60   | 0.6017          | 0.5938   |
| 0.499         | 61.0  | 61   | 0.6018          | 0.5938   |
| 0.499         | 62.0  | 62   | 0.6016          | 0.5938   |
| 0.499         | 63.0  | 63   | 0.6017          | 0.5938   |
| 0.499         | 64.0  | 64   | 0.6019          | 0.5938   |
| 0.499         | 65.0  | 65   | 0.6018          | 0.5938   |
| 0.499         | 66.0  | 66   | 0.6016          | 0.625    |
| 0.499         | 67.0  | 67   | 0.6012          | 0.625    |
| 0.499         | 68.0  | 68   | 0.6005          | 0.625    |
| 0.499         | 69.0  | 69   | 0.5996          | 0.625    |
| 0.4607        | 70.0  | 70   | 0.5988          | 0.625    |
| 0.4607        | 71.0  | 71   | 0.5978          | 0.5938   |
| 0.4607        | 72.0  | 72   | 0.5969          | 0.5938   |
| 0.4607        | 73.0  | 73   | 0.5960          | 0.5938   |
| 0.4607        | 74.0  | 74   | 0.5952          | 0.5938   |
| 0.4607        | 75.0  | 75   | 0.5943          | 0.625    |
| 0.4607        | 76.0  | 76   | 0.5932          | 0.625    |
| 0.4607        | 77.0  | 77   | 0.5923          | 0.625    |
| 0.4607        | 78.0  | 78   | 0.5911          | 0.625    |
| 0.4607        | 79.0  | 79   | 0.5900          | 0.625    |
| 0.4053        | 80.0  | 80   | 0.5890          | 0.625    |
| 0.4053        | 81.0  | 81   | 0.5881          | 0.625    |
| 0.4053        | 82.0  | 82   | 0.5875          | 0.625    |
| 0.4053        | 83.0  | 83   | 0.5870          | 0.625    |
| 0.4053        | 84.0  | 84   | 0.5864          | 0.625    |
| 0.4053        | 85.0  | 85   | 0.5859          | 0.6562   |
| 0.4053        | 86.0  | 86   | 0.5854          | 0.625    |
| 0.4053        | 87.0  | 87   | 0.5850          | 0.625    |
| 0.4053        | 88.0  | 88   | 0.5847          | 0.625    |
| 0.4053        | 89.0  | 89   | 0.5845          | 0.625    |
| 0.3526        | 90.0  | 90   | 0.5844          | 0.6562   |
| 0.3526        | 91.0  | 91   | 0.5843          | 0.6562   |
| 0.3526        | 92.0  | 92   | 0.5844          | 0.625    |
| 0.3526        | 93.0  | 93   | 0.5842          | 0.625    |
| 0.3526        | 94.0  | 94   | 0.5839          | 0.625    |
| 0.3526        | 95.0  | 95   | 0.5835          | 0.625    |
| 0.3526        | 96.0  | 96   | 0.5829          | 0.625    |
| 0.3526        | 97.0  | 97   | 0.5824          | 0.6562   |
| 0.3526        | 98.0  | 98   | 0.5820          | 0.625    |
| 0.3526        | 99.0  | 99   | 0.5817          | 0.625    |
| 0.3275        | 100.0 | 100  | 0.5817          | 0.625    |
| 0.3275        | 101.0 | 101  | 0.5818          | 0.5938   |
| 0.3275        | 102.0 | 102  | 0.5817          | 0.5938   |
| 0.3275        | 103.0 | 103  | 0.5813          | 0.5938   |
| 0.3275        | 104.0 | 104  | 0.5806          | 0.5938   |
| 0.3275        | 105.0 | 105  | 0.5794          | 0.5938   |
| 0.3275        | 106.0 | 106  | 0.5779          | 0.5938   |
| 0.3275        | 107.0 | 107  | 0.5765          | 0.625    |
| 0.3275        | 108.0 | 108  | 0.5749          | 0.625    |
| 0.3275        | 109.0 | 109  | 0.5733          | 0.625    |
| 0.3001        | 110.0 | 110  | 0.5720          | 0.625    |
| 0.3001        | 111.0 | 111  | 0.5705          | 0.625    |
| 0.3001        | 112.0 | 112  | 0.5691          | 0.625    |
| 0.3001        | 113.0 | 113  | 0.5676          | 0.6562   |
| 0.3001        | 114.0 | 114  | 0.5660          | 0.6562   |
| 0.3001        | 115.0 | 115  | 0.5645          | 0.6875   |
| 0.3001        | 116.0 | 116  | 0.5631          | 0.6875   |
| 0.3001        | 117.0 | 117  | 0.5618          | 0.6562   |
| 0.3001        | 118.0 | 118  | 0.5606          | 0.6562   |
| 0.3001        | 119.0 | 119  | 0.5593          | 0.6562   |
| 0.2668        | 120.0 | 120  | 0.5584          | 0.6562   |
| 0.2668        | 121.0 | 121  | 0.5576          | 0.625    |
| 0.2668        | 122.0 | 122  | 0.5571          | 0.625    |
| 0.2668        | 123.0 | 123  | 0.5566          | 0.6562   |
| 0.2668        | 124.0 | 124  | 0.5560          | 0.6562   |
| 0.2668        | 125.0 | 125  | 0.5555          | 0.6562   |
| 0.2668        | 126.0 | 126  | 0.5549          | 0.6562   |
| 0.2668        | 127.0 | 127  | 0.5542          | 0.6562   |
| 0.2668        | 128.0 | 128  | 0.5531          | 0.6562   |
| 0.2668        | 129.0 | 129  | 0.5513          | 0.6562   |
| 0.2363        | 130.0 | 130  | 0.5495          | 0.6562   |
| 0.2363        | 131.0 | 131  | 0.5478          | 0.6562   |
| 0.2363        | 132.0 | 132  | 0.5461          | 0.6562   |
| 0.2363        | 133.0 | 133  | 0.5444          | 0.6875   |
| 0.2363        | 134.0 | 134  | 0.5430          | 0.6875   |
| 0.2363        | 135.0 | 135  | 0.5418          | 0.6875   |
| 0.2363        | 136.0 | 136  | 0.5409          | 0.6875   |
| 0.2363        | 137.0 | 137  | 0.5399          | 0.6875   |
| 0.2363        | 138.0 | 138  | 0.5390          | 0.6875   |
| 0.2363        | 139.0 | 139  | 0.5380          | 0.6875   |
| 0.1905        | 140.0 | 140  | 0.5376          | 0.6875   |
| 0.1905        | 141.0 | 141  | 0.5372          | 0.6875   |
| 0.1905        | 142.0 | 142  | 0.5367          | 0.6875   |
| 0.1905        | 143.0 | 143  | 0.5362          | 0.6875   |
| 0.1905        | 144.0 | 144  | 0.5357          | 0.6875   |
| 0.1905        | 145.0 | 145  | 0.5354          | 0.6875   |
| 0.1905        | 146.0 | 146  | 0.5350          | 0.6562   |
| 0.1905        | 147.0 | 147  | 0.5346          | 0.6562   |
| 0.1905        | 148.0 | 148  | 0.5340          | 0.6562   |
| 0.1905        | 149.0 | 149  | 0.5333          | 0.6562   |
| 0.1614        | 150.0 | 150  | 0.5327          | 0.6562   |


### Framework versions

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