bert-base-uncased-finetuned-autext23

andricValdez/bert-base-uncased-finetuned-autext23

bert-base-uncased-finetuned-autext23 is a machine learning model from andricValdez. 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: Oct 13, 2024
Updated: Oct 13, 2024
SHA: 74b404cf

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

bert-base-uncased-finetuned-autext23

This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7841
Accuracy: 0.8924
F1: 0.8916

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	F1
No log	1.0	1481	0.3827	0.8562	0.8539
0.2087	2.0	2962	0.4941	0.8861	0.8850
0.2087	3.0	4443	0.6297	0.8894	0.8885
0.0383	4.0	5924	0.8646	0.8669	0.8650
0.0383	5.0	7405	0.7841	0.8924	0.8916

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Oct 13, 2024
Updated: Oct 13, 2024