metadata

base_model: tner/xlm-roberta-base-panx-dataset-ar
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: xlm-roberta-base-finetuned-panx-ar
    results: []

xlm-roberta-base-finetuned-panx-ar

This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1977
F1: 0.8803

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
0.2179	1.0	188	0.1977	0.8803

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1