finetuned_bert_model

danieladeeko/finetuned_bert_model

finetuned_bert_model is a machine learning model from danieladeeko. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: bert
Access: Public
Created: Sep 1, 2024
Updated: Sep 1, 2024
SHA: 157c913e

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

finetuned_bert_model

This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0747
Precision: 0.6614
Recall: 0.7090
F1: 0.6844
Accuracy: 0.9700

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0571	1.0	2185	0.0775	0.6470	0.7164	0.6800	0.9689
0.0573	2.0	4370	0.0747	0.6614	0.7090	0.6844	0.9700
0.0476	3.0	6555	0.0809	0.6638	0.7208	0.6911	0.9690
0.0405	4.0	8740	0.0870	0.6628	0.7297	0.6946	0.9691

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Sep 1, 2024
Updated: Sep 1, 2024