bert_finetuned_resume

bayesian4042/bert_finetuned_resume

bert_finetuned_resume is a text classification model from bayesian4042. 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: distilbert
Access: Public
Created: Jan 25, 2024
Updated: Jan 25, 2024
SHA: db502fcb

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Base models

Model card

From the Hugging Face model README

bert_finetuned_resume

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

Loss: 0.2759
Accuracy: 0.9356
F1: 0.9340

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	114	0.3235	0.9158	0.9150
No log	2.0	228	0.2864	0.9307	0.9294
No log	3.0	342	0.2798	0.9307	0.9297
No log	4.0	456	0.2785	0.9356	0.9340
No log	5.0	570	0.2759	0.9356	0.9340

Framework versions

Transformers 4.37.1
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jan 25, 2024
Updated: Jan 25, 2024