sbert_yelp2class_fast

This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the yelp_polarity dataset. It achieves the following results on the evaluation set:

• Loss: 0.0831
• Accuracy: 0.9733

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
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• 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
0.0915	1.0	17500	0.0855	0.9710
0.0676	2.0	35000	0.0831	0.9733

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2