rxsong
/

bert-finetuned-promo

Text Classification Transformers PyTorch TensorBoard bert generated_from_trainer Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

Edit model card

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

bert-finetuned-promo

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

Loss: 0.0383
Mse: 0.0383
Mae: 0.0466
R2: 0.9586
Accuracy: 0.9839

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Mae	R2	Accuracy
0.57	1.0	950	0.1458	0.1458	0.1299	0.8426	0.9335
0.0698	2.0	1900	0.0514	0.0514	0.0578	0.9445	0.9664
0.0306	3.0	2850	0.0383	0.0383	0.0466	0.9586	0.9839

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Downloads last month: 0

Evaluation results

Metadata error: specify a dataset to view leaderboard