
<!-- 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_padding80model

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: 3.9364
- Accuracy: 0.5367

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3796        | 1.0   | 534   | 1.3990          | 0.3833   |
| 1.0718        | 2.0   | 1068  | 1.0650          | 0.5344   |
| 0.8586        | 3.0   | 1602  | 1.1671          | 0.5163   |
| 0.6983        | 4.0   | 2136  | 1.2731          | 0.5362   |
| 0.5278        | 5.0   | 2670  | 1.5800          | 0.5195   |
| 0.403         | 6.0   | 3204  | 1.8418          | 0.5181   |
| 0.2944        | 7.0   | 3738  | 1.9392          | 0.5317   |
| 0.238         | 8.0   | 4272  | 2.1068          | 0.5208   |
| 0.1969        | 9.0   | 4806  | 2.4820          | 0.5362   |
| 0.1571        | 10.0  | 5340  | 2.9684          | 0.5222   |
| 0.1358        | 11.0  | 5874  | 3.0886          | 0.5249   |
| 0.1232        | 12.0  | 6408  | 3.1854          | 0.5290   |
| 0.0877        | 13.0  | 6942  | 3.4065          | 0.5258   |
| 0.0738        | 14.0  | 7476  | 3.5549          | 0.5308   |
| 0.0438        | 15.0  | 8010  | 3.7069          | 0.5235   |
| 0.0429        | 16.0  | 8544  | 3.7658          | 0.5294   |
| 0.0349        | 17.0  | 9078  | 3.8455          | 0.5299   |
| 0.0218        | 18.0  | 9612  | 3.8512          | 0.5353   |
| 0.0174        | 19.0  | 10146 | 3.9104          | 0.5357   |
| 0.0159        | 20.0  | 10680 | 3.9364          | 0.5367   |


### 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_padding80model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us