
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# N_distilbert_sst5_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: 4.1236
- Accuracy: 0.5023

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2881        | 1.0   | 534   | 1.2448          | 0.4348   |
| 1.0196        | 2.0   | 1068  | 1.1144          | 0.5208   |
| 0.8169        | 3.0   | 1602  | 1.1867          | 0.5249   |
| 0.6703        | 4.0   | 2136  | 1.3514          | 0.5195   |
| 0.5051        | 5.0   | 2670  | 1.6276          | 0.4946   |
| 0.3893        | 6.0   | 3204  | 1.8058          | 0.4910   |
| 0.2916        | 7.0   | 3738  | 1.9627          | 0.5009   |
| 0.219         | 8.0   | 4272  | 2.1724          | 0.5036   |
| 0.1789        | 9.0   | 4806  | 2.4518          | 0.5027   |
| 0.1443        | 10.0  | 5340  | 2.7508          | 0.4986   |
| 0.1206        | 11.0  | 5874  | 3.0702          | 0.4964   |
| 0.0969        | 12.0  | 6408  | 3.2655          | 0.4928   |
| 0.0755        | 13.0  | 6942  | 3.3892          | 0.5063   |
| 0.0643        | 14.0  | 7476  | 3.7077          | 0.4986   |
| 0.042         | 15.0  | 8010  | 3.7313          | 0.4977   |
| 0.0386        | 16.0  | 8544  | 3.9008          | 0.4977   |
| 0.0275        | 17.0  | 9078  | 4.0575          | 0.4991   |
| 0.0227        | 18.0  | 9612  | 4.0796          | 0.5072   |
| 0.0203        | 19.0  | 10146 | 4.1166          | 0.5018   |
| 0.0161        | 20.0  | 10680 | 4.1236          | 0.5023   |


### 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_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