baseline_BERT_10K_steps

jordyvl/baseline_BERT_10K_steps

baseline_BERT_10K_steps is a text classification model from jordyvl. 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: Feb 4, 2024
Updated: Feb 4, 2024
SHA: c7f259d3

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Base models

Datasets

arxiv_dataset

Model card

From the Hugging Face model README

baseline_BERT_10K_steps

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

Loss: 0.0356
Accuracy: 0.9906
Precision: 0.7827
Recall: 0.0517
F1: 0.0970
Hamming: 0.0094

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: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Hamming
No log	0.0	500	0.1602	0.9902	0.0	0.0	0.0	0.0098
No log	0.0	1000	0.0573	0.9902	0.0	0.0	0.0	0.0098
No log	0.0	1500	0.0504	0.9902	0.0	0.0	0.0	0.0098
No log	0.01	2000	0.0492	0.9902	0.0	0.0	0.0	0.0098
No log	0.01	2500	0.0488	0.9902	0.0	0.0	0.0	0.0098
No log	0.01	3000	0.0485	0.9902	0.0	0.0	0.0	0.0098
No log	0.01	3500	0.0477	0.9902	0.0	0.0	0.0	0.0098
No log	0.01	4000	0.0467	0.9902	0.0	0.0	0.0	0.0098
No log	0.01	4500	0.0455	0.9902	0.0	0.0	0.0	0.0098
No log	0.01	5000	0.0442	0.9902	0.0	0.0	0.0	0.0098
No log	0.02	5500	0.0422	0.9902	0.0	0.0	0.0	0.0098
No log	0.02	6000	0.0408	0.9902	0.0	0.0	0.0	0.0098
No log	0.02	6500	0.0394	0.9902	0.0	0.0	0.0	0.0098
No log	0.02	7000	0.0385	0.9902	1.0	0.0011	0.0022	0.0098
No log	0.02	7500	0.0376	0.9903	0.7949	0.0057	0.0113	0.0097
No log	0.02	8000	0.0368	0.9903	0.8071	0.0146	0.0287	0.0097
No log	0.03	8500	0.0363	0.9905	0.7372	0.0465	0.0874	0.0095
No log	0.03	9000	0.0359	0.9905	0.7811	0.0381	0.0727	0.0095
No log	0.03	9500	0.0357	0.9906	0.8029	0.0562	0.1051	0.0094
0.0665	0.03	10000	0.0356	0.9906	0.7827	0.0517	0.0970	0.0094

Framework versions

Transformers 4.37.2
Pytorch 1.12.1+cu113
Datasets 2.16.1
Tokenizers 0.15.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Feb 4, 2024
Updated: Feb 4, 2024