
<!-- 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_sst5_padding40model

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: 4.1036
- Accuracy: 0.5290

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3762        | 1.0   | 534   | 1.2877          | 0.4308   |
| 1.0166        | 2.0   | 1068  | 1.0554          | 0.5434   |
| 0.7789        | 3.0   | 1602  | 1.1840          | 0.5285   |
| 0.5955        | 4.0   | 2136  | 1.3969          | 0.5226   |
| 0.4112        | 5.0   | 2670  | 1.7375          | 0.5059   |
| 0.298         | 6.0   | 3204  | 2.0244          | 0.5113   |
| 0.2306        | 7.0   | 3738  | 2.3077          | 0.5122   |
| 0.171         | 8.0   | 4272  | 2.4897          | 0.5127   |
| 0.1473        | 9.0   | 4806  | 2.8175          | 0.5240   |
| 0.1223        | 10.0  | 5340  | 3.0553          | 0.5348   |
| 0.102         | 11.0  | 5874  | 3.3033          | 0.5262   |
| 0.0812        | 12.0  | 6408  | 3.5173          | 0.5199   |
| 0.0647        | 13.0  | 6942  | 3.7110          | 0.5330   |
| 0.0468        | 14.0  | 7476  | 3.7872          | 0.5299   |
| 0.0324        | 15.0  | 8010  | 3.9852          | 0.5195   |
| 0.0206        | 16.0  | 8544  | 4.0106          | 0.5285   |
| 0.0172        | 17.0  | 9078  | 4.0319          | 0.5276   |
| 0.0151        | 18.0  | 9612  | 4.0855          | 0.5308   |
| 0.0089        | 19.0  | 10146 | 4.0883          | 0.5294   |
| 0.01          | 20.0  | 10680 | 4.1036          | 0.5290   |


### 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_sst5_padding40model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us