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# xlm-roberta-base-finetuned-panx-fr

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2797
- F1: 0.8412

## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5967        | 1.0   | 191  | 0.3386          | 0.7787 |
| 0.2715        | 2.0   | 382  | 0.2735          | 0.8274 |
| 0.1774        | 3.0   | 573  | 0.2797          | 0.8412 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["xtreme"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "xtreme", "type": "xtreme", "config": "PAN-X.fr", "split": "validation", "args": "PAN-X.fr"}, "metrics": [{"type": "f1", "value": 0.8412378069290279, "name": "F1"}]}]}]}
transformers safetensors xlm-roberta token-classification generated_from_trainer dataset:xtreme base_model:xlm-roberta-base license:mit model-index autotrain_compatible endpoints_compatible region:us