stereoset_trainer_roberta-base_finetuned

henryscheible/stereoset_trainer_roberta-base_finetuned

stereoset_trainer_roberta-base_finetuned is a text classification model from henryscheible. Use it when you need a label for a piece of text. 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

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Jan 13, 2023
Updated: Jan 13, 2023
SHA: 55bb4acc

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Datasets

stereoset

Model card

From the Hugging Face model README

stereoset_trainer_roberta-base_finetuned

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

Loss: 0.5749
Accuracy: 0.7535

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.54	50	0.6919	0.5157
No log	1.08	100	0.6944	0.4843
No log	1.61	150	0.6275	0.6664
No log	2.15	200	0.5548	0.7355
No log	2.69	250	0.5613	0.7331
No log	3.23	300	0.6062	0.7331
No log	3.76	350	0.5455	0.7488
No log	4.3	400	0.6223	0.7488
No log	4.84	450	0.5749	0.7535

Framework versions

Transformers 4.23.1
Pytorch 1.12.1
Datasets 2.6.1
Tokenizers 0.13.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Jan 13, 2023
Updated: Jan 13, 2023