metadata

license: mit
base_model: xlm-roberta-base
tags:
  - generated_from_trainer
datasets:
  - xtreme
metrics:
  - f1
model-index:
  - name: xlm-roberta-base-finetuned-panx-fr
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: xtreme
          type: xtreme
          config: PAN-X.fr
          split: validation
          args: PAN-X.fr
        metrics:
          - name: F1
            type: f1
            value: 0.8324143692564745

xlm-roberta-base-finetuned-panx-fr

This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:

Loss: 0.2814
F1: 0.8324

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: 192
eval_batch_size: 192
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	24	0.5559	0.6516
No log	2.0	48	0.3394	0.7818
No log	3.0	72	0.2994	0.8059
No log	4.0	96	0.2888	0.8221
No log	5.0	120	0.2853	0.8326
No log	6.0	144	0.2814	0.8324

Framework versions

Transformers 4.34.1
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1