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# 1a5e2b8e

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the udpos28 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3219
- Precision: 0.8943
- Recall: 0.8577
- F1: 0.8681
- Accuracy: 0.9471

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0423        | 7.58  | 1000 | 0.3219          | 0.8943    | 0.8577 | 0.8681 | 0.9471   |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["udpos28"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "xlm-roberta-base", "model-index": [{"name": "1a5e2b8e", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "udpos28", "type": "udpos28", "config": "te", "split": "validation", "args": "te"}, "metrics": [{"type": "precision", "value": 0.894336015358501, "name": "Precision"}, {"type": "recall", "value": 0.8576779328683283, "name": "Recall"}, {"type": "f1", "value": 0.8680916339670367, "name": "F1"}, {"type": "accuracy", "value": 0.947129909365559, "name": "Accuracy"}]}]}]}
transformers safetensors xlm-roberta token-classification generated_from_trainer dataset:udpos28 base_model:xlm-roberta-base license:mit model-index autotrain_compatible endpoints_compatible region:us