metadata

license: mit
tags:
  - generated_from_trainer
metrics:
  - f1
base_model: xlm-roberta-base
model-index:
  - name: xlm-roberta-base-finetuned-panx-de
    results: []

xlm-roberta-base-finetuned-panx-de

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1700
F1: 0.8349

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: 12
eval_batch_size: 12
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
0.2716	1.0	1430	0.1700	0.8349

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu117
Datasets 2.12.0
Tokenizers 0.13.3