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# N_distilbert_sst2_padding0model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8371
- Accuracy: 0.9072

## 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  | 0.2637          | 0.8951   |
| 0.3398        | 2.0   | 866  | 0.2966          | 0.8979   |
| 0.1677        | 3.0   | 1299 | 0.5400          | 0.8852   |
| 0.0745        | 4.0   | 1732 | 0.5148          | 0.9061   |
| 0.0376        | 5.0   | 2165 | 0.5925          | 0.9017   |
| 0.0208        | 6.0   | 2598 | 0.6006          | 0.9039   |
| 0.0179        | 7.0   | 3031 | 0.6727          | 0.9028   |
| 0.0179        | 8.0   | 3464 | 0.6872          | 0.9050   |
| 0.0154        | 9.0   | 3897 | 0.7194          | 0.9061   |
| 0.009         | 10.0  | 4330 | 0.7977          | 0.8984   |
| 0.004         | 11.0  | 4763 | 0.8141          | 0.9033   |
| 0.005         | 12.0  | 5196 | 0.8024          | 0.9077   |
| 0.0048        | 13.0  | 5629 | 0.7693          | 0.9055   |
| 0.0076        | 14.0  | 6062 | 0.7940          | 0.9094   |
| 0.0076        | 15.0  | 6495 | 0.8173          | 0.9105   |
| 0.0063        | 16.0  | 6928 | 0.7915          | 0.9055   |
| 0.0069        | 17.0  | 7361 | 0.8337          | 0.9033   |
| 0.002         | 18.0  | 7794 | 0.8250          | 0.9077   |
| 0.0029        | 19.0  | 8227 | 0.8175          | 0.9072   |
| 0.0011        | 20.0  | 8660 | 0.8371          | 0.9072   |


### 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": "distilbert-base-uncased", "model-index": [{"name": "N_distilbert_sst2_padding0model", "results": []}]}
transformers pytorch tensorboard safetensors distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us