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# bert_sst2_padding70model

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: 0.6816
- Accuracy: 0.9209

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 433  | 0.2422          | 0.9121   |
| 0.3225        | 2.0   | 866  | 0.3330          | 0.9094   |
| 0.15          | 3.0   | 1299 | 0.4125          | 0.9193   |
| 0.0796        | 4.0   | 1732 | 0.4849          | 0.9088   |
| 0.033         | 5.0   | 2165 | 0.6146          | 0.9023   |
| 0.0252        | 6.0   | 2598 | 0.5862          | 0.9105   |
| 0.0147        | 7.0   | 3031 | 0.6562          | 0.9121   |
| 0.0147        | 8.0   | 3464 | 0.6735          | 0.9171   |
| 0.01          | 9.0   | 3897 | 0.7122          | 0.9099   |
| 0.017         | 10.0  | 4330 | 0.6584          | 0.9149   |
| 0.0106        | 11.0  | 4763 | 0.7113          | 0.9171   |
| 0.0077        | 12.0  | 5196 | 0.7330          | 0.9149   |
| 0.0108        | 13.0  | 5629 | 0.6942          | 0.9143   |
| 0.0126        | 14.0  | 6062 | 0.6131          | 0.9160   |
| 0.0126        | 15.0  | 6495 | 0.6609          | 0.9182   |
| 0.0074        | 16.0  | 6928 | 0.6579          | 0.9193   |
| 0.0075        | 17.0  | 7361 | 0.6388          | 0.9220   |
| 0.002         | 18.0  | 7794 | 0.6524          | 0.9253   |
| 0.0014        | 19.0  | 8227 | 0.6741          | 0.9209   |
| 0.0009        | 20.0  | 8660 | 0.6816          | 0.9209   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert_sst2_padding70model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us