hf_fine_tune_hello_world

poojakabber1997/hf_fine_tune_hello_world

hf_fine_tune_hello_world is a text classification model from poojakabber1997. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Oct 26, 2022
Updated: Nov 26, 2022
SHA: 66949e15

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Datasets

yelp_review_full

Model card

From the Hugging Face model README

hf_fine_tune_hello_world

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

Loss: 0.9796
Accuracy: 0.616

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	125	1.1352	0.504
No log	2.0	250	1.0559	0.572
No log	3.0	375	0.9796	0.616

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu102
Datasets 2.5.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 26, 2022
Updated: Nov 26, 2022