---
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: scenario-KD-PR-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only_alpha-jason
  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. -->

# scenario-KD-PR-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only_alpha-jason

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 15.6971
- Accuracy: 0.4105
- F1: 0.4078

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2222
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.72  | 100  | 12.5527         | 0.3779   | 0.3087 |
| No log        | 3.45  | 200  | 12.9504         | 0.3757   | 0.3098 |
| No log        | 5.17  | 300  | 12.9363         | 0.3884   | 0.3458 |
| No log        | 6.9   | 400  | 13.3706         | 0.3951   | 0.3814 |
| 13.0874       | 8.62  | 500  | 13.5495         | 0.3849   | 0.3679 |
| 13.0874       | 10.34 | 600  | 14.1809         | 0.3739   | 0.3340 |
| 13.0874       | 12.07 | 700  | 13.9627         | 0.3814   | 0.3774 |
| 13.0874       | 13.79 | 800  | 14.6754         | 0.3907   | 0.3806 |
| 13.0874       | 15.52 | 900  | 14.1172         | 0.4136   | 0.4087 |
| 9.6129        | 17.24 | 1000 | 14.2157         | 0.3871   | 0.3752 |
| 9.6129        | 18.97 | 1100 | 14.6144         | 0.4030   | 0.3987 |
| 9.6129        | 20.69 | 1200 | 15.2951         | 0.3942   | 0.3947 |
| 9.6129        | 22.41 | 1300 | 15.0876         | 0.3933   | 0.3839 |
| 9.6129        | 24.14 | 1400 | 15.3136         | 0.4004   | 0.3987 |
| 7.2639        | 25.86 | 1500 | 15.5724         | 0.4061   | 0.4007 |
| 7.2639        | 27.59 | 1600 | 15.8778         | 0.3986   | 0.3984 |
| 7.2639        | 29.31 | 1700 | 15.6971         | 0.4105   | 0.4078 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3