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---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-sst-2-16-100
  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-2-16-100

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: 0.3049
- Accuracy: 0.9375

## 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    | 0.2289          | 0.9375   |
| No log        | 2.0   | 2    | 0.2289          | 0.9375   |
| No log        | 3.0   | 3    | 0.2287          | 0.9375   |
| No log        | 4.0   | 4    | 0.2285          | 0.9375   |
| No log        | 5.0   | 5    | 0.2281          | 0.9375   |
| No log        | 6.0   | 6    | 0.2278          | 0.9375   |
| No log        | 7.0   | 7    | 0.2271          | 0.9375   |
| No log        | 8.0   | 8    | 0.2265          | 0.9375   |
| No log        | 9.0   | 9    | 0.2259          | 0.9375   |
| 0.3159        | 10.0  | 10   | 0.2250          | 0.9375   |
| 0.3159        | 11.0  | 11   | 0.2236          | 0.9375   |
| 0.3159        | 12.0  | 12   | 0.2224          | 0.9375   |
| 0.3159        | 13.0  | 13   | 0.2208          | 0.9375   |
| 0.3159        | 14.0  | 14   | 0.2190          | 0.9375   |
| 0.3159        | 15.0  | 15   | 0.2175          | 0.9375   |
| 0.3159        | 16.0  | 16   | 0.2166          | 0.9375   |
| 0.3159        | 17.0  | 17   | 0.2154          | 0.9375   |
| 0.3159        | 18.0  | 18   | 0.2143          | 0.9375   |
| 0.3159        | 19.0  | 19   | 0.2138          | 0.9375   |
| 0.3191        | 20.0  | 20   | 0.2133          | 0.9375   |
| 0.3191        | 21.0  | 21   | 0.2130          | 0.9375   |
| 0.3191        | 22.0  | 22   | 0.2127          | 0.9375   |
| 0.3191        | 23.0  | 23   | 0.2121          | 0.9375   |
| 0.3191        | 24.0  | 24   | 0.2115          | 0.9375   |
| 0.3191        | 25.0  | 25   | 0.2112          | 0.9375   |
| 0.3191        | 26.0  | 26   | 0.2115          | 0.9375   |
| 0.3191        | 27.0  | 27   | 0.2113          | 0.9375   |
| 0.3191        | 28.0  | 28   | 0.2118          | 0.9375   |
| 0.3191        | 29.0  | 29   | 0.2130          | 0.9375   |
| 0.2101        | 30.0  | 30   | 0.2134          | 0.9375   |
| 0.2101        | 31.0  | 31   | 0.2136          | 0.9375   |
| 0.2101        | 32.0  | 32   | 0.2138          | 0.9375   |
| 0.2101        | 33.0  | 33   | 0.2133          | 0.9375   |
| 0.2101        | 34.0  | 34   | 0.2124          | 0.9375   |
| 0.2101        | 35.0  | 35   | 0.2112          | 0.9375   |
| 0.2101        | 36.0  | 36   | 0.2107          | 0.9375   |
| 0.2101        | 37.0  | 37   | 0.2099          | 0.9375   |
| 0.2101        | 38.0  | 38   | 0.2095          | 0.9375   |
| 0.2101        | 39.0  | 39   | 0.2096          | 0.9375   |
| 0.1112        | 40.0  | 40   | 0.2096          | 0.9375   |
| 0.1112        | 41.0  | 41   | 0.2096          | 0.9375   |
| 0.1112        | 42.0  | 42   | 0.2093          | 0.9375   |
| 0.1112        | 43.0  | 43   | 0.2085          | 0.9375   |
| 0.1112        | 44.0  | 44   | 0.2084          | 0.9375   |
| 0.1112        | 45.0  | 45   | 0.2082          | 0.9375   |
| 0.1112        | 46.0  | 46   | 0.2083          | 0.9375   |
| 0.1112        | 47.0  | 47   | 0.2088          | 0.9375   |
| 0.1112        | 48.0  | 48   | 0.2097          | 0.9375   |
| 0.1112        | 49.0  | 49   | 0.2111          | 0.9375   |
| 0.0453        | 50.0  | 50   | 0.2127          | 0.9375   |
| 0.0453        | 51.0  | 51   | 0.2147          | 0.9375   |
| 0.0453        | 52.0  | 52   | 0.2170          | 0.9375   |
| 0.0453        | 53.0  | 53   | 0.2200          | 0.9375   |
| 0.0453        | 54.0  | 54   | 0.2239          | 0.9375   |
| 0.0453        | 55.0  | 55   | 0.2271          | 0.9375   |
| 0.0453        | 56.0  | 56   | 0.2299          | 0.9375   |
| 0.0453        | 57.0  | 57   | 0.2320          | 0.9375   |
| 0.0453        | 58.0  | 58   | 0.2352          | 0.9375   |
| 0.0453        | 59.0  | 59   | 0.2364          | 0.9375   |
| 0.0349        | 60.0  | 60   | 0.2360          | 0.9375   |
| 0.0349        | 61.0  | 61   | 0.2348          | 0.9375   |
| 0.0349        | 62.0  | 62   | 0.2320          | 0.9375   |
| 0.0349        | 63.0  | 63   | 0.2302          | 0.9375   |
| 0.0349        | 64.0  | 64   | 0.2283          | 0.9375   |
| 0.0349        | 65.0  | 65   | 0.2256          | 0.9375   |
| 0.0349        | 66.0  | 66   | 0.2244          | 0.9375   |
| 0.0349        | 67.0  | 67   | 0.2226          | 0.9375   |
| 0.0349        | 68.0  | 68   | 0.2214          | 0.9375   |
| 0.0349        | 69.0  | 69   | 0.2208          | 0.9375   |
| 0.0184        | 70.0  | 70   | 0.2199          | 0.9375   |
| 0.0184        | 71.0  | 71   | 0.2178          | 0.9375   |
| 0.0184        | 72.0  | 72   | 0.2161          | 0.9375   |
| 0.0184        | 73.0  | 73   | 0.2147          | 0.9375   |
| 0.0184        | 74.0  | 74   | 0.2151          | 0.9375   |
| 0.0184        | 75.0  | 75   | 0.2158          | 0.9375   |
| 0.0184        | 76.0  | 76   | 0.2171          | 0.9375   |
| 0.0184        | 77.0  | 77   | 0.2184          | 0.9375   |
| 0.0184        | 78.0  | 78   | 0.2189          | 0.9375   |
| 0.0184        | 79.0  | 79   | 0.2196          | 0.9375   |
| 0.0125        | 80.0  | 80   | 0.2204          | 0.9375   |
| 0.0125        | 81.0  | 81   | 0.2216          | 0.9375   |
| 0.0125        | 82.0  | 82   | 0.2227          | 0.9375   |
| 0.0125        | 83.0  | 83   | 0.2243          | 0.9375   |
| 0.0125        | 84.0  | 84   | 0.2260          | 0.9375   |
| 0.0125        | 85.0  | 85   | 0.2275          | 0.9375   |
| 0.0125        | 86.0  | 86   | 0.2288          | 0.9375   |
| 0.0125        | 87.0  | 87   | 0.2300          | 0.9375   |
| 0.0125        | 88.0  | 88   | 0.2313          | 0.9375   |
| 0.0125        | 89.0  | 89   | 0.2328          | 0.9375   |
| 0.0099        | 90.0  | 90   | 0.2347          | 0.9375   |
| 0.0099        | 91.0  | 91   | 0.2375          | 0.9375   |
| 0.0099        | 92.0  | 92   | 0.2402          | 0.9375   |
| 0.0099        | 93.0  | 93   | 0.2428          | 0.9375   |
| 0.0099        | 94.0  | 94   | 0.2453          | 0.9375   |
| 0.0099        | 95.0  | 95   | 0.2477          | 0.9375   |
| 0.0099        | 96.0  | 96   | 0.2501          | 0.9375   |
| 0.0099        | 97.0  | 97   | 0.2554          | 0.9375   |
| 0.0099        | 98.0  | 98   | 0.2604          | 0.9375   |
| 0.0099        | 99.0  | 99   | 0.2651          | 0.9375   |
| 0.0078        | 100.0 | 100  | 0.2694          | 0.9375   |
| 0.0078        | 101.0 | 101  | 0.2728          | 0.9375   |
| 0.0078        | 102.0 | 102  | 0.2759          | 0.9375   |
| 0.0078        | 103.0 | 103  | 0.2787          | 0.9375   |
| 0.0078        | 104.0 | 104  | 0.2812          | 0.9375   |
| 0.0078        | 105.0 | 105  | 0.2837          | 0.9375   |
| 0.0078        | 106.0 | 106  | 0.2856          | 0.9375   |
| 0.0078        | 107.0 | 107  | 0.2899          | 0.9375   |
| 0.0078        | 108.0 | 108  | 0.2939          | 0.9375   |
| 0.0078        | 109.0 | 109  | 0.2976          | 0.9375   |
| 0.0078        | 110.0 | 110  | 0.3010          | 0.9375   |
| 0.0078        | 111.0 | 111  | 0.3042          | 0.9375   |
| 0.0078        | 112.0 | 112  | 0.3049          | 0.9375   |
| 0.0078        | 113.0 | 113  | 0.3050          | 0.9375   |
| 0.0078        | 114.0 | 114  | 0.3051          | 0.9375   |
| 0.0078        | 115.0 | 115  | 0.3045          | 0.9375   |
| 0.0078        | 116.0 | 116  | 0.3041          | 0.9375   |
| 0.0078        | 117.0 | 117  | 0.3034          | 0.9375   |
| 0.0078        | 118.0 | 118  | 0.2994          | 0.9375   |
| 0.0078        | 119.0 | 119  | 0.2958          | 0.9375   |
| 0.006         | 120.0 | 120  | 0.2924          | 0.9375   |
| 0.006         | 121.0 | 121  | 0.2892          | 0.9375   |
| 0.006         | 122.0 | 122  | 0.2866          | 0.9375   |
| 0.006         | 123.0 | 123  | 0.2842          | 0.9375   |
| 0.006         | 124.0 | 124  | 0.2821          | 0.9375   |
| 0.006         | 125.0 | 125  | 0.2802          | 0.9375   |
| 0.006         | 126.0 | 126  | 0.2785          | 0.9375   |
| 0.006         | 127.0 | 127  | 0.2775          | 0.9375   |
| 0.006         | 128.0 | 128  | 0.2768          | 0.9375   |
| 0.006         | 129.0 | 129  | 0.2762          | 0.9375   |
| 0.005         | 130.0 | 130  | 0.2758          | 0.9375   |
| 0.005         | 131.0 | 131  | 0.2756          | 0.9375   |
| 0.005         | 132.0 | 132  | 0.2756          | 0.9375   |
| 0.005         | 133.0 | 133  | 0.2757          | 0.9375   |
| 0.005         | 134.0 | 134  | 0.2758          | 0.9375   |
| 0.005         | 135.0 | 135  | 0.2762          | 0.9375   |
| 0.005         | 136.0 | 136  | 0.2767          | 0.9375   |
| 0.005         | 137.0 | 137  | 0.2773          | 0.9375   |
| 0.005         | 138.0 | 138  | 0.2780          | 0.9375   |
| 0.005         | 139.0 | 139  | 0.2783          | 0.9375   |
| 0.0042        | 140.0 | 140  | 0.2789          | 0.9375   |
| 0.0042        | 141.0 | 141  | 0.2794          | 0.9375   |
| 0.0042        | 142.0 | 142  | 0.2799          | 0.9375   |
| 0.0042        | 143.0 | 143  | 0.2805          | 0.9062   |
| 0.0042        | 144.0 | 144  | 0.2812          | 0.9062   |
| 0.0042        | 145.0 | 145  | 0.2818          | 0.9062   |
| 0.0042        | 146.0 | 146  | 0.2826          | 0.9062   |
| 0.0042        | 147.0 | 147  | 0.2877          | 0.9375   |
| 0.0042        | 148.0 | 148  | 0.2934          | 0.9375   |
| 0.0042        | 149.0 | 149  | 0.2993          | 0.9375   |
| 0.004         | 150.0 | 150  | 0.3049          | 0.9375   |


### Framework versions

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