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# majikayo1

This model is a fine-tuned version of [afiqlol/TESTING-ROBERTA](https://huggingface.co/afiqlol/TESTING-ROBERTA) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8106
- Accuracy: 0.7143

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8723        | 1.0   | 14   | 0.6904          | 0.7321   |
| 0.7973        | 2.0   | 28   | 0.6736          | 0.7321   |
| 0.7457        | 3.0   | 42   | 0.7150          | 0.75     |
| 0.6288        | 4.0   | 56   | 0.7054          | 0.7321   |
| 0.6086        | 5.0   | 70   | 0.7726          | 0.7143   |
| 0.5364        | 6.0   | 84   | 0.7468          | 0.7143   |
| 0.5192        | 7.0   | 98   | 0.7847          | 0.7143   |
| 0.4596        | 8.0   | 112  | 0.8159          | 0.7143   |
| 0.5134        | 9.0   | 126  | 0.8146          | 0.6964   |
| 0.4598        | 10.0  | 140  | 0.8106          | 0.7143   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cpu
- Datasets 2.14.5
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "afiqlol/TESTING-ROBERTA", "model-index": [{"name": "majikayo1", "results": []}]}
transformers tensorboard safetensors xlm-roberta text-classification generated_from_trainer base_model:afiqlol/TESTING-ROBERTA autotrain_compatible endpoints_compatible region:us