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# distilbert_sst2_padding50model

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: 0.8513
- Accuracy: 0.9044

## 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  | 0.2978          | 0.8770   |
| 0.3562        | 2.0   | 866  | 0.2957          | 0.8951   |
| 0.1837        | 3.0   | 1299 | 0.4247          | 0.8979   |
| 0.0926        | 4.0   | 1732 | 0.5261          | 0.9006   |
| 0.0468        | 5.0   | 2165 | 0.5621          | 0.8995   |
| 0.0273        | 6.0   | 2598 | 0.6392          | 0.8995   |
| 0.017         | 7.0   | 3031 | 0.6437          | 0.9006   |
| 0.017         | 8.0   | 3464 | 0.6567          | 0.8973   |
| 0.0198        | 9.0   | 3897 | 0.6843          | 0.9017   |
| 0.0092        | 10.0  | 4330 | 0.7951          | 0.8984   |
| 0.0049        | 11.0  | 4763 | 0.8085          | 0.8984   |
| 0.0073        | 12.0  | 5196 | 0.7651          | 0.9055   |
| 0.011         | 13.0  | 5629 | 0.7794          | 0.9055   |
| 0.0066        | 14.0  | 6062 | 0.8064          | 0.9044   |
| 0.0066        | 15.0  | 6495 | 0.7824          | 0.9039   |
| 0.0063        | 16.0  | 6928 | 0.8132          | 0.9039   |
| 0.0065        | 17.0  | 7361 | 0.8399          | 0.9050   |
| 0.0024        | 18.0  | 7794 | 0.8511          | 0.9017   |
| 0.0056        | 19.0  | 8227 | 0.8723          | 0.9017   |
| 0.0025        | 20.0  | 8660 | 0.8513          | 0.9044   |


### 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_padding50model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us