metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - pquad
base_model: xlm-roberta-base
model-index:
  - name: xlm-roberta-base-finetuned-pquad
    results: []

xlm-roberta-base-finetuned-pquad

This model is a fine-tuned version of xlm-roberta-base on the pquad dataset. It achieves the following results on the evaluation set:

eval_loss: 0.7779
eval_runtime: 173.6451
eval_samples_per_second: 46.036
eval_steps_per_second: 2.879
epoch: 1.0
step: 4020

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: 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: 2

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2