bert-petco-fullemailbody-ctr

yimiwang/bert-petco-fullemailbody-ctr

bert-petco-fullemailbody-ctr is a text classification model from yimiwang. 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: Apr 8, 2024
Updated: Apr 11, 2024
SHA: 5346d6f7

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Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

bert-petco-fullemailbody-ctr

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

Loss: 0.0024
Mse: 0.0024
Rmse: 0.0487
Mae: 0.0369
R2: 0.3917

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: 1e-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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Rmse	Mae	R2
0.0259	1.0	15	0.0045	0.0045	0.0671	0.0558	-0.1551
0.0131	2.0	30	0.0042	0.0042	0.0645	0.0501	-0.0669
0.0114	3.0	45	0.0037	0.0037	0.0609	0.0514	0.0488
0.0118	4.0	60	0.0033	0.0033	0.0576	0.0446	0.1471
0.0097	5.0	75	0.0036	0.0036	0.0599	0.0460	0.0790
0.0095	6.0	90	0.0037	0.0037	0.0606	0.0462	0.0568
0.0086	7.0	105	0.0040	0.0040	0.0629	0.0485	-0.0177
0.0083	8.0	120	0.0026	0.0026	0.0513	0.0392	0.3232
0.0077	9.0	135	0.0035	0.0035	0.0595	0.0445	0.0915
0.0067	10.0	150	0.0037	0.0037	0.0606	0.0462	0.0561
0.0066	11.0	165	0.0025	0.0025	0.0503	0.0394	0.3499
0.0066	12.0	180	0.0034	0.0034	0.0580	0.0475	0.1355
0.0046	13.0	195	0.0024	0.0024	0.0487	0.0369	0.3917
0.0052	14.0	210	0.0035	0.0035	0.0587	0.0454	0.1137
0.0049	15.0	225	0.0032	0.0032	0.0567	0.0438	0.1753
0.0041	16.0	240	0.0034	0.0034	0.0581	0.0445	0.1321
0.0039	17.0	255	0.0030	0.0030	0.0548	0.0412	0.2277
0.0042	18.0	270	0.0036	0.0036	0.0603	0.0465	0.0676
0.0035	19.0	285	0.0036	0.0036	0.0601	0.0461	0.0719
0.0031	20.0	300	0.0033	0.0033	0.0574	0.0435	0.1548

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Apr 8, 2024
Updated: Apr 11, 2024