metadata
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-4
results: []
roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 128
- seed: 4
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 128
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 75
Training results
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 2.0.0
- Tokenizers 0.11.6