eBERT_sa_cv_10_fold1

DiederikMartens/eBERT_sa_cv_10_fold1

eBERT_sa_cv_10_fold1 is a text classification model from DiederikMartens. 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: May 26, 2024
Updated: May 26, 2024
SHA: 03766623

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Base models

google-bert/bert-base-cased

Model card

From the Hugging Face model README

eBERT_sa_cv_10_fold1

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

Loss: 0.4772
F1: 0.4637

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: 4.47e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	401	0.6262	0.2953
0.6031	2.0	802	0.5669	0.4470
0.4469	3.0	1203	0.4772	0.4637

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: May 26, 2024
Updated: May 26, 2024