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# N_distilbert_sst5_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: 4.1603
- Accuracy: 0.5100

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2711        | 1.0   | 534   | 1.2114          | 0.4484   |
| 1.0077        | 2.0   | 1068  | 1.0976          | 0.5303   |
| 0.8051        | 3.0   | 1602  | 1.2082          | 0.5240   |
| 0.6379        | 4.0   | 2136  | 1.3809          | 0.5222   |
| 0.4724        | 5.0   | 2670  | 1.6873          | 0.4932   |
| 0.3451        | 6.0   | 3204  | 1.8427          | 0.5104   |
| 0.2629        | 7.0   | 3738  | 2.0872          | 0.5145   |
| 0.1894        | 8.0   | 4272  | 2.3192          | 0.5163   |
| 0.156         | 9.0   | 4806  | 2.6154          | 0.5136   |
| 0.1447        | 10.0  | 5340  | 3.0435          | 0.4968   |
| 0.0956        | 11.0  | 5874  | 3.3029          | 0.5036   |
| 0.084         | 12.0  | 6408  | 3.5400          | 0.5045   |
| 0.0632        | 13.0  | 6942  | 3.7259          | 0.4995   |
| 0.0462        | 14.0  | 7476  | 3.9112          | 0.4946   |
| 0.0378        | 15.0  | 8010  | 4.0038          | 0.4995   |
| 0.0338        | 16.0  | 8544  | 4.0106          | 0.5118   |
| 0.0253        | 17.0  | 9078  | 4.0946          | 0.5104   |
| 0.0299        | 18.0  | 9612  | 4.1451          | 0.5041   |
| 0.022         | 19.0  | 10146 | 4.1501          | 0.5077   |
| 0.0146        | 20.0  | 10680 | 4.1603          | 0.5100   |


### 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_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