results_fold_4

SohailaMohammed/results_fold_4

results_fold_4 is a machine learning model from SohailaMohammed. 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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Hugging Face

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At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Dec 10, 2024
Updated: Dec 11, 2024
SHA: 8cd856e7

Base models

Model card

From the Hugging Face model README

results_fold_4

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

Loss: 0.2926
Accuracy: 0.879
Precision: 0.866
Recall: 0.899
F1: 0.882

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.205	1.0	686	0.2434	0.9	0.882	0.913	0.897
0.3799	2.0	1372	0.2525	0.895	0.867	0.922	0.894
0.3218	3.0	2058	0.2512	0.898	0.912	0.87	0.891
0.2818	4.0	2744	0.2460	0.903	0.898	0.899	0.899

Framework versions

Transformers 4.40.1
Pytorch 2.5.1+cu118
Datasets 2.19.1
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Dec 10, 2024
Updated: Dec 11, 2024