distilbert_reviews_with_language_drift

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