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# idk_yet

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: 1.3447
- Accuracy: 0.7273

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6961        | 1.0   | 1648  | 0.6887          | 0.7217   |
| 0.5895        | 2.0   | 3296  | 0.6574          | 0.7274   |
| 0.4933        | 3.0   | 4944  | 0.6801          | 0.7365   |
| 0.4106        | 4.0   | 6592  | 0.7265          | 0.7340   |
| 0.3658        | 5.0   | 8240  | 0.8390          | 0.7359   |
| 0.2842        | 6.0   | 9888  | 0.9351          | 0.7333   |
| 0.2443        | 7.0   | 11536 | 1.0887          | 0.7268   |
| 0.2234        | 8.0   | 13184 | 1.1726          | 0.7297   |
| 0.1881        | 9.0   | 14832 | 1.2748          | 0.7267   |
| 0.1792        | 10.0  | 16480 | 1.3447          | 0.7273   |


### 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", "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