roberta-base-finetuned-swag

graphcore-rahult/roberta-base-finetuned-swag

roberta-base-finetuned-swag is a machine learning model from graphcore-rahult. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Nov 29, 2022
Updated: Dec 7, 2022
SHA: 4182d3e7

Datasets

swag

Model card

From the Hugging Face model README

roberta-base-finetuned-swag

This model is a fine-tuned version of roberta-base on the swag dataset. It achieves the following results on the evaluation set:

Loss: 0.5190
Accuracy: 0.8260

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: IPU
gradient_accumulation_steps: 16
total_train_batch_size: 32
total_eval_batch_size: 10
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
training precision: Mixed Precision

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0993	1.0	2298	0.5474	0.7871
0.2222	2.0	4596	0.4744	0.8181
0.1633	3.0	6894	0.5190	0.8260

Framework versions

Transformers 4.20.1
Pytorch 1.10.0+cpu
Datasets 2.7.1
Tokenizers 0.12.1

Library: transformers
Type: roberta
License: mit
Created: Nov 29, 2022
Updated: Dec 7, 2022