metadata

license: mit
base_model: vonewman/xlm-roberta-large-finetuned-wolof
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: wolof-finetuned-ner
    results: []

wolof-finetuned-ner

This model is a fine-tuned version of vonewman/xlm-roberta-large-finetuned-wolof on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2264
Precision: 0.7135
Recall: 0.8639
F1: 0.7815
Accuracy: 0.9831

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: 2e-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
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	226	0.2264	0.7135	0.8639	0.7815	0.9831

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3