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

Loss: 0.4970
Accuracy: 0.818
F1: 0.8167

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	Accuracy	F1
0.593	1.0	500	0.4723	0.799	0.7976
0.3714	2.0	1000	0.4679	0.818	0.8177
0.2652	3.0	1500	0.4970	0.818	0.8167

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

arize-ai/distilbert_reviews_with_language_drift

distilbert_reviews_with_language_drift

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

arize-ai/
distilbert_reviews_with_language_drift