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# bert_sst5_padding0model

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: 4.1289
- Accuracy: 0.5348

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2571        | 1.0   | 534   | 1.1825          | 0.4674   |
| 0.9473        | 2.0   | 1068  | 1.0990          | 0.5344   |
| 0.7153        | 3.0   | 1602  | 1.3597          | 0.5122   |
| 0.5464        | 4.0   | 2136  | 1.4853          | 0.5140   |
| 0.3754        | 5.0   | 2670  | 1.7687          | 0.5222   |
| 0.2672        | 6.0   | 3204  | 2.0400          | 0.5294   |
| 0.1965        | 7.0   | 3738  | 2.3921          | 0.5149   |
| 0.1593        | 8.0   | 4272  | 2.5796          | 0.5262   |
| 0.1308        | 9.0   | 4806  | 2.9764          | 0.5281   |
| 0.1074        | 10.0  | 5340  | 3.1247          | 0.5299   |
| 0.0922        | 11.0  | 5874  | 3.4653          | 0.5290   |
| 0.0602        | 12.0  | 6408  | 3.6541          | 0.5217   |
| 0.0487        | 13.0  | 6942  | 3.8270          | 0.5294   |
| 0.0364        | 14.0  | 7476  | 3.9558          | 0.5276   |
| 0.0367        | 15.0  | 8010  | 3.8927          | 0.5380   |
| 0.0218        | 16.0  | 8544  | 4.0195          | 0.5326   |
| 0.0166        | 17.0  | 9078  | 4.0571          | 0.5312   |
| 0.0145        | 18.0  | 9612  | 4.1334          | 0.5335   |
| 0.0102        | 19.0  | 10146 | 4.0970          | 0.5294   |
| 0.0073        | 20.0  | 10680 | 4.1289          | 0.5348   |


### 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_padding0model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us