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metadata
license: apache-2.0
base_model: sentence-transformers/all-MiniLM-L6-v2
tags:
  - generated_from_trainer
datasets:
  - yelp_polarity
metrics:
  - accuracy
model-index:
  - name: sbert_yelp2class_fast
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: yelp_polarity
          type: yelp_polarity
          config: plain_text
          split: test
          args: plain_text
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9733421052631579

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