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# N_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: 4.2139
- Accuracy: 0.5344

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2735        | 1.0   | 534   | 1.2001          | 0.4701   |
| 0.9729        | 2.0   | 1068  | 1.0735          | 0.5367   |
| 0.7608        | 3.0   | 1602  | 1.1589          | 0.5258   |
| 0.5806        | 4.0   | 2136  | 1.4040          | 0.5226   |
| 0.4182        | 5.0   | 2670  | 1.6600          | 0.5158   |
| 0.3021        | 6.0   | 3204  | 1.9966          | 0.5072   |
| 0.2286        | 7.0   | 3738  | 2.2465          | 0.5271   |
| 0.17          | 8.0   | 4272  | 2.5603          | 0.5258   |
| 0.1489        | 9.0   | 4806  | 2.9361          | 0.5086   |
| 0.1191        | 10.0  | 5340  | 3.1244          | 0.5208   |
| 0.0966        | 11.0  | 5874  | 3.4286          | 0.5195   |
| 0.0678        | 12.0  | 6408  | 3.6056          | 0.5195   |
| 0.0762        | 13.0  | 6942  | 3.6478          | 0.5376   |
| 0.0537        | 14.0  | 7476  | 3.8186          | 0.5258   |
| 0.0269        | 15.0  | 8010  | 4.0681          | 0.5204   |
| 0.0272        | 16.0  | 8544  | 4.0600          | 0.5380   |
| 0.0168        | 17.0  | 9078  | 4.1078          | 0.5285   |
| 0.0143        | 18.0  | 9612  | 4.1354          | 0.5371   |
| 0.0138        | 19.0  | 10146 | 4.2105          | 0.5344   |
| 0.0114        | 20.0  | 10680 | 4.2139          | 0.5344   |


### 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": "N_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