README.md

metadata

license: mit
base_model: FacebookAI/roberta-large
tags:
  - generated_from_trainer
datasets:
  - yelp_polarity
metrics:
  - accuracy
model-index:
  - name: roberta_large_yelp2class
    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: 0.9809736842105263

roberta_large_yelp2class

This model is a fine-tuned version of FacebookAI/roberta-large on the yelp_polarity dataset. It achieves the following results on the evaluation set:

• Loss: 0.0859
• Accuracy: 0.9810

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
0.0975	1.0	35000	0.1078	0.9779
0.0614	2.0	70000	0.0859	0.9810

Framework versions

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