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# N_roberta_sst5_padding0model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9677
- Accuracy: 0.5593

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.231         | 1.0   | 534   | 1.1949          | 0.4588   |
| 0.9709        | 2.0   | 1068  | 1.0009          | 0.5643   |
| 0.826         | 3.0   | 1602  | 1.0707          | 0.5548   |
| 0.6894        | 4.0   | 2136  | 1.1785          | 0.5566   |
| 0.5545        | 5.0   | 2670  | 1.2947          | 0.5566   |
| 0.4264        | 6.0   | 3204  | 1.4867          | 0.5448   |
| 0.3507        | 7.0   | 3738  | 1.6741          | 0.5584   |
| 0.2579        | 8.0   | 4272  | 1.8731          | 0.5643   |
| 0.2188        | 9.0   | 4806  | 2.2232          | 0.5566   |
| 0.1903        | 10.0  | 5340  | 2.5289          | 0.5520   |
| 0.1664        | 11.0  | 5874  | 2.9037          | 0.5633   |
| 0.1563        | 12.0  | 6408  | 3.1956          | 0.5620   |
| 0.1152        | 13.0  | 6942  | 3.3490          | 0.5538   |
| 0.1064        | 14.0  | 7476  | 3.4903          | 0.5561   |
| 0.0774        | 15.0  | 8010  | 3.6072          | 0.5602   |
| 0.0585        | 16.0  | 8544  | 3.7163          | 0.5584   |
| 0.048         | 17.0  | 9078  | 3.8144          | 0.5633   |
| 0.0418        | 18.0  | 9612  | 3.9285          | 0.5584   |
| 0.033         | 19.0  | 10146 | 3.9853          | 0.5575   |
| 0.0355        | 20.0  | 10680 | 3.9677          | 0.5593   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "N_roberta_sst5_padding0model", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us