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# N_distilbert_sst5_padding90model

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: 3.9075
- Accuracy: 0.5068

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.4153        | 1.0   | 534   | 1.2718          | 0.4063   |
| 1.097         | 2.0   | 1068  | 1.1023          | 0.5235   |
| 0.8991        | 3.0   | 1602  | 1.1412          | 0.5258   |
| 0.726         | 4.0   | 2136  | 1.2640          | 0.5267   |
| 0.5663        | 5.0   | 2670  | 1.5469          | 0.4860   |
| 0.4446        | 6.0   | 3204  | 1.6275          | 0.5086   |
| 0.3323        | 7.0   | 3738  | 1.8364          | 0.5118   |
| 0.2447        | 8.0   | 4272  | 2.0486          | 0.5072   |
| 0.2051        | 9.0   | 4806  | 2.3180          | 0.4950   |
| 0.1546        | 10.0  | 5340  | 2.5455          | 0.5100   |
| 0.135         | 11.0  | 5874  | 2.7967          | 0.5104   |
| 0.1104        | 12.0  | 6408  | 3.0989          | 0.5009   |
| 0.0825        | 13.0  | 6942  | 3.3861          | 0.4937   |
| 0.0788        | 14.0  | 7476  | 3.4264          | 0.5027   |
| 0.0534        | 15.0  | 8010  | 3.5892          | 0.5068   |
| 0.0428        | 16.0  | 8544  | 3.7231          | 0.4968   |
| 0.0374        | 17.0  | 9078  | 3.8164          | 0.5014   |
| 0.0236        | 18.0  | 9612  | 3.7950          | 0.5086   |
| 0.0256        | 19.0  | 10146 | 3.8540          | 0.5104   |
| 0.0202        | 20.0  | 10680 | 3.9075          | 0.5068   |


### 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_padding90model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us