roberta-base-finetuned-swag

nmb-paperspace-hf/roberta-base-finetuned-swag

roberta-base-finetuned-swag is a machine learning model from nmb-paperspace-hf. 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. --

Downloads · 30 days

9% of all-time downloads

All-time downloads

527

Public

Repo size

3.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin249 MB · 99%

At a glance

Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Dec 16, 2022
Updated: Dec 16, 2022
SHA: 820529e7

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: 0.5161
Accuracy: 0.8266

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
1.1273	1.0	2298	0.5415	0.7898
0.2373	2.0	4596	0.4756	0.8175
0.1788	3.0	6894	0.5161	0.8266

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: Dec 16, 2022
Updated: Dec 16, 2022