metadata

license: mit
base_model: xlm-roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: xlm-roberta-base-finetuned-panx-39-langs
    results: []

xlm-roberta-base-finetuned-panx-39-langs

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

eval_loss: 0.1859
eval_f1: 0.8572
eval_runtime: 1126.3679
eval_samples_per_second: 232.784
eval_steps_per_second: 14.549
epoch: 1.2
step: 63030

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1