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# idk_yet_part4

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: 1.1661
- Accuracy: 0.7308

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3049        | 1.0   | 802  | 0.8413          | 0.7314   |
| 0.253         | 2.0   | 1604 | 0.9618          | 0.7304   |
| 0.2121        | 3.0   | 2406 | 1.0001          | 0.7295   |
| 0.175         | 4.0   | 3208 | 1.1020          | 0.7306   |
| 0.1514        | 5.0   | 4010 | 1.1661          | 0.7308   |


### 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": "idk_yet_part4", "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