baseline_bert-large-cased_epoch3_batch4_lr2e-05_w0.01

YanJiangJerry/baseline_bert-large-cased_epoch3_batch4_lr2e-05_w0.01

baseline_bert-large-cased_epoch3_batch4_lr2e-05_w0.01 is a text classification model from YanJiangJerry. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

406

Public

Repo size

5.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.3 GB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Aug 4, 2023
Updated: Aug 4, 2023
SHA: 84bdf117

Try a prompt

Base models

Model card

From the Hugging Face model README

baseline_bert-large-cased_epoch3_batch4_lr2e-05_w0.01

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

Loss: 0.5408
Accuracy: 0.8932
F1: 0.8532
Precision: 0.8746
Recall: 0.8328

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: 4
eval_batch_size: 4
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	Accuracy	F1	Precision	Recall
0.5768	1.0	788	0.5440	0.8487	0.7908	0.8159	0.7672
0.3931	2.0	1576	0.4749	0.8921	0.8537	0.8628	0.8448
0.2643	3.0	2364	0.5408	0.8932	0.8532	0.8746	0.8328

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Aug 4, 2023
Updated: Aug 4, 2023