README.md

metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - squad_v2
model-index:
  - name: xlm-roberta-large-finetuned-squad-v2_15102021
    results: []

xlm-roberta-large-finetuned-squad-v2_15102021

This model is a fine-tuned version of xlm-roberta-large on the squad_v2 dataset. It achieves the following results on the evaluation set:

• eval_loss: 17.5548
• eval_runtime: 168.7788
• eval_samples_per_second: 23.368
• eval_steps_per_second: 5.842
• epoch: 8.0
• step: 7600

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
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0+cu111
• Datasets 1.13.1
• Tokenizers 0.10.3