xlm-roberta-large-finetuned-augument-visquad2-6-4-2023-1

This model is a fine-tuned version of xlm-roberta-large on the None dataset.

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• lr_scheduler_warmup_steps: 100
• num_epochs: 10

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.1+cu117
• Datasets 2.10.1
• Tokenizers 0.13.2