eBERT_sa_cv_9_fold2

DiederikMartens/eBERT_sa_cv_9_fold2

eBERT_sa_cv_9_fold2 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 28, 2024
Updated: May 28, 2024
SHA: 6e80df2b

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Base models

google-bert/bert-base-cased

Model card

From the Hugging Face model README

eBERT_sa_cv_9_fold2

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: 0.5572
F1: 0.6288

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	325	0.5791	0.4552
0.6139	2.0	650	0.4915	0.5372
0.6139	3.0	975	0.5572	0.6288

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 28, 2024
Updated: May 28, 2024