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# testing_finetune123

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: 1.3182
- Accuracy: 0.7366

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.7348        | 1.0   | 7327  | 0.6944          | 0.7244   |
| 0.6696        | 2.0   | 14654 | 0.8731          | 0.7311   |
| 0.6027        | 3.0   | 21981 | 1.3112          | 0.7279   |
| 0.5827        | 4.0   | 29308 | 1.3182          | 0.7366   |


### 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": "testing_finetune123", "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