metadata
base_model: tner/xlm-roberta-base-panx-dataset-ar
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-ar
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.ar
split: validation
args: PAN-X.ar
metrics:
- name: F1
type: f1
value: 0.8836184741904691
xlm-roberta-base-finetuned-panx-ar
This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.2007
- F1: 0.8836
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.2229 | 1.0 | 188 | 0.2007 | 0.8836 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1