Shunian Chen
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metadata
tags:
  - generated_from_trainer
datasets:
  - yelp_review_full
metrics:
  - accuracy
model-index:
  - name: yelp_review_rating_reberta_base
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: yelp_review_full
          type: yelp_review_full
          config: yelp_review_full
          split: train
          args: yelp_review_full
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.67086

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