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# N_distilbert_sst5_padding70model

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: 3.8170
- Accuracy: 0.5077

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4765        | 1.0   | 534   | 1.2981          | 0.4113   |
| 1.1535        | 2.0   | 1068  | 1.1111          | 0.5176   |
| 0.9575        | 3.0   | 1602  | 1.1843          | 0.5014   |
| 0.7998        | 4.0   | 2136  | 1.2742          | 0.5100   |
| 0.6303        | 5.0   | 2670  | 1.4411          | 0.5018   |
| 0.4977        | 6.0   | 3204  | 1.5945          | 0.4919   |
| 0.3945        | 7.0   | 3738  | 1.8055          | 0.4977   |
| 0.2777        | 8.0   | 4272  | 1.9519          | 0.4914   |
| 0.243         | 9.0   | 4806  | 2.1185          | 0.5131   |
| 0.2011        | 10.0  | 5340  | 2.3648          | 0.4919   |
| 0.1743        | 11.0  | 5874  | 2.7565          | 0.4995   |
| 0.1366        | 12.0  | 6408  | 2.9976          | 0.4946   |
| 0.1207        | 13.0  | 6942  | 3.0904          | 0.4986   |
| 0.0946        | 14.0  | 7476  | 3.2822          | 0.5036   |
| 0.065         | 15.0  | 8010  | 3.4680          | 0.5036   |
| 0.0558        | 16.0  | 8544  | 3.6425          | 0.5023   |
| 0.055         | 17.0  | 9078  | 3.7495          | 0.4986   |
| 0.0474        | 18.0  | 9612  | 3.7677          | 0.5054   |
| 0.0413        | 19.0  | 10146 | 3.7968          | 0.5081   |
| 0.0314        | 20.0  | 10680 | 3.8170          | 0.5077   |


### 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_sst5_padding70model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us