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# N_distilbert_sst2_padding10model

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: 0.8293
- Accuracy: 0.9083

## 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  | 0.2672          | 0.8929   |
| 0.3404        | 2.0   | 866  | 0.2730          | 0.9072   |
| 0.18          | 3.0   | 1299 | 0.3929          | 0.8979   |
| 0.0942        | 4.0   | 1732 | 0.5054          | 0.9006   |
| 0.048         | 5.0   | 2165 | 0.6373          | 0.8885   |
| 0.0215        | 6.0   | 2598 | 0.5832          | 0.9055   |
| 0.0115        | 7.0   | 3031 | 0.6447          | 0.9061   |
| 0.0115        | 8.0   | 3464 | 0.7011          | 0.8995   |
| 0.0121        | 9.0   | 3897 | 0.7374          | 0.9006   |
| 0.0116        | 10.0  | 4330 | 0.6765          | 0.9072   |
| 0.0133        | 11.0  | 4763 | 0.7147          | 0.9028   |
| 0.0091        | 12.0  | 5196 | 0.7716          | 0.9072   |
| 0.0043        | 13.0  | 5629 | 0.7582          | 0.9072   |
| 0.0082        | 14.0  | 6062 | 0.8606          | 0.8951   |
| 0.0082        | 15.0  | 6495 | 0.7580          | 0.9094   |
| 0.0032        | 16.0  | 6928 | 0.8095          | 0.9083   |
| 0.0024        | 17.0  | 7361 | 0.8023          | 0.9099   |
| 0.0024        | 18.0  | 7794 | 0.8096          | 0.9088   |
| 0.0038        | 19.0  | 8227 | 0.8086          | 0.9099   |
| 0.001         | 20.0  | 8660 | 0.8293          | 0.9083   |


### 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_padding10model", "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