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rob-base-superqa1 – AI Model by nbroad | AlphaNeural AI

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nbroad/
rob-base-superqa1

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rob-base-superqa

This model is a fine-tuned version of roberta-base 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: 7e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 256
total_eval_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.21.1
Pytorch 1.11.0a0+gita4c10ee
Datasets 2.4.0
Tokenizers 0.12.1