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