pretrained_bert_scratch-finetuned-sst2

learningDL/pretrained_bert_scratch-finetuned-sst2

pretrained_bert_scratch-finetuned-sst2 is a text classification model from learningDL. 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: Nov 18, 2023
Updated: Nov 19, 2023
SHA: d1837312

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Base models

ayushmodi12/pretrained_bert_scratch

Datasets

glue

Model card

From the Hugging Face model README

pretrained_bert_scratch-finetuned-sst2

This model is a fine-tuned version of ayushmodi12/pretrained_bert_scratch on the glue dataset. It achieves the following results on the evaluation set:

Loss: 0.7219
Accuracy: 0.5092

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
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
0.6959	1.0	4210	0.6945	0.4908
0.6945	2.0	8420	0.7219	0.5092
0.6963	3.0	12630	0.7028	0.5092
0.699	4.0	16840	0.6938	0.5092
0.6938	5.0	21050	0.7048	0.5092

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 18, 2023
Updated: Nov 19, 2023