BERT_FPB_finetuned

Elanthamiljeeva/BERT_FPB_finetuned

BERT_FPB_finetuned is a machine learning model from Elanthamiljeeva. 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: Aug 4, 2024
Updated: Aug 4, 2024
SHA: f441b85a

Base models

Model card

From the Hugging Face model README

BERT_FPB_finetuned

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

Loss: 0.5238
Accuracy: 0.8711
F1: 0.8705
Precision: 0.8706
Recall: 0.8711

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: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.6376	1.0	218	0.4370	0.8144	0.8157	0.8177	0.8144
0.4168	2.0	436	0.4208	0.8376	0.8356	0.8358	0.8376
0.2808	3.0	654	0.4520	0.8608	0.8606	0.8609	0.8608
0.0538	4.0	872	0.5238	0.8711	0.8705	0.8706	0.8711

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Aug 4, 2024
Updated: Aug 4, 2024