SentimentAnalysis-YelpReviews-OptimizedModel-Tryout

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

• Loss: 0.9073
• Accuracy: 0.6781
• F1: 0.6779

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: 8
• eval_batch_size: 8
• 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
0.3425	1.0	81250	0.8438	0.6780	0.6775
0.447	2.0	162500	0.7894	0.6826	0.6836
0.4338	3.0	243750	0.9073	0.6781	0.6779

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1