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# results

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: 2.8299
- Accuracy: 0.6038
- F1: 0.5980

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 24   | 1.1029          | 0.1772   | 0.0627 |
| No log        | 2.0   | 48   | 1.0290          | 0.5063   | 0.3404 |
| No log        | 3.0   | 72   | 0.9006          | 0.5949   | 0.5268 |
| No log        | 4.0   | 96   | 0.8745          | 0.6013   | 0.6014 |
| No log        | 5.0   | 120  | 0.8370          | 0.5696   | 0.5730 |
| No log        | 6.0   | 144  | 0.8020          | 0.6709   | 0.6623 |
| No log        | 7.0   | 168  | 0.8105          | 0.6835   | 0.6759 |
| No log        | 8.0   | 192  | 0.9875          | 0.6329   | 0.6251 |
| No log        | 9.0   | 216  | 1.1282          | 0.6266   | 0.6317 |
| No log        | 10.0  | 240  | 1.2444          | 0.5949   | 0.5950 |
| No log        | 11.0  | 264  | 1.1916          | 0.6456   | 0.6394 |
| No log        | 12.0  | 288  | 1.5230          | 0.5886   | 0.5905 |
| No log        | 13.0  | 312  | 1.4544          | 0.6456   | 0.6381 |
| No log        | 14.0  | 336  | 1.6109          | 0.6076   | 0.6093 |
| No log        | 15.0  | 360  | 1.6181          | 0.6203   | 0.6213 |
| No log        | 16.0  | 384  | 1.6836          | 0.6392   | 0.6382 |
| No log        | 17.0  | 408  | 1.7056          | 0.6709   | 0.6648 |
| No log        | 18.0  | 432  | 1.9027          | 0.5949   | 0.5968 |
| No log        | 19.0  | 456  | 1.7156          | 0.6835   | 0.6695 |
| No log        | 20.0  | 480  | 1.8976          | 0.6392   | 0.6376 |
| 0.3619        | 21.0  | 504  | 1.8731          | 0.6139   | 0.6172 |
| 0.3619        | 22.0  | 528  | 1.8723          | 0.6709   | 0.6570 |
| 0.3619        | 23.0  | 552  | 2.1482          | 0.5886   | 0.5921 |
| 0.3619        | 24.0  | 576  | 1.8633          | 0.6203   | 0.6198 |
| 0.3619        | 25.0  | 600  | 1.7921          | 0.6392   | 0.6373 |
| 0.3619        | 26.0  | 624  | 1.8867          | 0.6203   | 0.6229 |
| 0.3619        | 27.0  | 648  | 1.8571          | 0.6646   | 0.6535 |
| 0.3619        | 28.0  | 672  | 1.9876          | 0.6266   | 0.6295 |
| 0.3619        | 29.0  | 696  | 1.8853          | 0.6519   | 0.6452 |
| 0.3619        | 30.0  | 720  | 2.0321          | 0.6266   | 0.6315 |
| 0.3619        | 31.0  | 744  | 1.8590          | 0.6646   | 0.6553 |
| 0.3619        | 32.0  | 768  | 2.2514          | 0.6266   | 0.6297 |
| 0.3619        | 33.0  | 792  | 1.8813          | 0.6646   | 0.6647 |
| 0.3619        | 34.0  | 816  | 2.1837          | 0.6139   | 0.6158 |
| 0.3619        | 35.0  | 840  | 1.8851          | 0.6709   | 0.6682 |
| 0.3619        | 36.0  | 864  | 2.0150          | 0.6329   | 0.6346 |
| 0.3619        | 37.0  | 888  | 1.9542          | 0.6709   | 0.6703 |
| 0.3619        | 38.0  | 912  | 2.0234          | 0.6582   | 0.6551 |
| 0.3619        | 39.0  | 936  | 2.1399          | 0.6329   | 0.6350 |
| 0.3619        | 40.0  | 960  | 2.1121          | 0.6329   | 0.6357 |
| 0.3619        | 41.0  | 984  | 2.0931          | 0.6266   | 0.6291 |
| 0.0321        | 42.0  | 1008 | 1.9945          | 0.6772   | 0.6757 |
| 0.0321        | 43.0  | 1032 | 2.0745          | 0.6646   | 0.6652 |
| 0.0321        | 44.0  | 1056 | 2.0226          | 0.6835   | 0.6795 |
| 0.0321        | 45.0  | 1080 | 2.1174          | 0.6582   | 0.6589 |
| 0.0321        | 46.0  | 1104 | 2.1243          | 0.6456   | 0.6467 |
| 0.0321        | 47.0  | 1128 | 2.1506          | 0.6203   | 0.6226 |
| 0.0321        | 48.0  | 1152 | 2.1542          | 0.6329   | 0.6350 |
| 0.0321        | 49.0  | 1176 | 2.1295          | 0.6582   | 0.6580 |
| 0.0321        | 50.0  | 1200 | 2.1290          | 0.6582   | 0.6580 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "results", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us