---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: tests
  results: []
---

<!-- 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. -->

# tests

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2590
- F1: 0.6703

## 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: 3e-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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 65   | 1.6059          | 0.4378 |
| No log        | 2.0   | 130  | 1.1745          | 0.5973 |
| No log        | 3.0   | 195  | 1.1097          | 0.6622 |
| No log        | 4.0   | 260  | 1.1188          | 0.6459 |
| No log        | 5.0   | 325  | 1.2955          | 0.6324 |
| No log        | 6.0   | 390  | 1.5177          | 0.6541 |
| No log        | 7.0   | 455  | 1.8703          | 0.6189 |
| 0.6433        | 8.0   | 520  | 1.7936          | 0.6486 |
| 0.6433        | 9.0   | 585  | 1.9287          | 0.6459 |
| 0.6433        | 10.0  | 650  | 1.9884          | 0.6595 |
| 0.6433        | 11.0  | 715  | 2.0985          | 0.6568 |
| 0.6433        | 12.0  | 780  | 2.1248          | 0.6730 |
| 0.6433        | 13.0  | 845  | 2.1511          | 0.6676 |
| 0.6433        | 14.0  | 910  | 2.2218          | 0.6622 |
| 0.6433        | 15.0  | 975  | 2.2069          | 0.6703 |
| 0.0065        | 16.0  | 1040 | 2.2273          | 0.6676 |
| 0.0065        | 17.0  | 1105 | 2.2626          | 0.6649 |
| 0.0065        | 18.0  | 1170 | 2.2593          | 0.6703 |
| 0.0065        | 19.0  | 1235 | 2.2577          | 0.6703 |
| 0.0065        | 20.0  | 1300 | 2.2590          | 0.6703 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2