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# distilbert_sst2_padding100model

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: 0.8470
- Accuracy: 0.9050

## 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  | 0.2619          | 0.9012   |
| 0.3643        | 2.0   | 866  | 0.2941          | 0.8973   |
| 0.1913        | 3.0   | 1299 | 0.3841          | 0.8951   |
| 0.0956        | 4.0   | 1732 | 0.5066          | 0.9006   |
| 0.0531        | 5.0   | 2165 | 0.7628          | 0.8786   |
| 0.0336        | 6.0   | 2598 | 0.6779          | 0.8940   |
| 0.0141        | 7.0   | 3031 | 0.7910          | 0.8913   |
| 0.0141        | 8.0   | 3464 | 0.8459          | 0.8885   |
| 0.0159        | 9.0   | 3897 | 0.6874          | 0.9023   |
| 0.0151        | 10.0  | 4330 | 0.9174          | 0.8819   |
| 0.0159        | 11.0  | 4763 | 0.7183          | 0.9033   |
| 0.012         | 12.0  | 5196 | 0.8621          | 0.8880   |
| 0.0063        | 13.0  | 5629 | 0.8841          | 0.8957   |
| 0.0064        | 14.0  | 6062 | 0.7985          | 0.9066   |
| 0.0064        | 15.0  | 6495 | 0.8537          | 0.9028   |
| 0.0075        | 16.0  | 6928 | 0.8202          | 0.9055   |
| 0.0042        | 17.0  | 7361 | 0.8655          | 0.9023   |
| 0.0029        | 18.0  | 7794 | 0.8738          | 0.9006   |
| 0.0034        | 19.0  | 8227 | 0.8642          | 0.9023   |
| 0.0012        | 20.0  | 8660 | 0.8470          | 0.9050   |


### 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": "distilbert_sst2_padding100model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us