tags:

• generated_from_trainer datasets:
• xtreme metrics:
• f1 model-index:
• name: xlm-roberta-base-finetuned-panx-it results:
  • task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.it metrics:
    • name: F1 type: f1 value: 0.9097618003799502

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xlm-roberta-base-finetuned-panx-it

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: 0.1417
• F1: 0.9098

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
0.2754	1.0	834	0.1683	0.8717
0.1366	2.0	1668	0.1449	0.8921
0.0863	3.0	2502	0.1417	0.9098

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.11.0