metadata

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

roberta-finetuned-qa-policy_long

This model is a fine-tuned version of deepset/roberta-base-squad2 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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1