
<!-- 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. -->

# majikayo

This model is a fine-tuned version of [citizenlab/twitter-xlm-roberta-base-sentiment-finetunned](https://huggingface.co/citizenlab/twitter-xlm-roberta-base-sentiment-finetunned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7697
- Accuracy: 0.7152

## 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
- lr_scheduler_warmup_steps: 600
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8094        | 1.0   | 1832 | 0.7750          | 0.6982   |
| 0.7201        | 2.0   | 3664 | 0.7987          | 0.7034   |
| 0.6835        | 3.0   | 5496 | 0.7697          | 0.7152   |


### 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": "citizenlab/twitter-xlm-roberta-base-sentiment-finetunned", "model-index": [{"name": "majikayo", "results": []}]}
transformers tensorboard safetensors xlm-roberta text-classification generated_from_trainer base_model:citizenlab/twitter-xlm-roberta-base-sentiment-finetunned autotrain_compatible endpoints_compatible region:us