sentiment_roberta_restaurant_10

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the pachequinho/restaurant_reviews dataset with only 10% of the training data. It achieves the following results on the evaluation set:

• Loss: 0.0354
• Accuracy: 0.9933

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
No log	1.0	57	0.0539	0.9889
No log	2.0	114	0.0354	0.9933

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3