metadata

license: cc-by-4.0
tags:
  - generated_from_trainer
datasets:
  - GIZ/policy_qa_v0
base_model: deepset/roberta-base-squad2
model-index:
  - name: roberta-finetuned-qa-policy
    results: []

roberta-finetuned-qa-policy

This model is a fine-tuned version of deepset/roberta-base-squad2 on the Policy_QA dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

Policy QA

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2