yelp_review_rating_reberta_base

This model was trained from scratch on the yelp_review_full dataset. It achieves the following results on the evaluation set:

• Loss: 0.8071
• Accuracy: 0.6709

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: cosine
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.8355	1.0	40625	0.6449	0.8211
0.7709	2.0	81250	0.6615	0.7877
0.7141	3.0	121875	0.6712	0.7689
0.6511	4.0	162500	0.6724	0.7845
0.6229	5.0	203125	0.6719	0.8009
0.6036	6.0	243750	0.8071	0.6709

Framework versions

• Transformers 4.22.2
• Pytorch 1.12.1+cu102
• Datasets 2.6.1
• Tokenizers 0.12.1