amazon-reviews-finetuning-bert-base-sentiment

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

• Loss: 1.0136
• Accuracy: 0.5764
• F1: 0.5739

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.9867	1.0	1563	0.9814	0.5792	0.5677
0.8435	2.0	3126	1.0136	0.5764	0.5739

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.0
• Datasets 2.14.6.dev0
• Tokenizers 0.13.3