metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-large-finetuned-augument-visquad2-6-4-2023-1
results: []
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