README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - yelp_review_full
metrics:
  - accuracy
model-index:
  - name: hf_fine_tune_hello_world
    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: 0.553

hf_fine_tune_hello_world

This model is a fine-tuned version of bert-base-cased on the yelp_review_full dataset. It achieves the following results on the evaluation set:

• Loss: 1.0731
• Accuracy: 0.553

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: 5e-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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	125	1.1979	0.479
No log	2.0	250	1.0730	0.552
No log	3.0	375	1.0731	0.553

Framework versions

• Transformers 4.22.2
• Pytorch 1.12.1+cu102
• Datasets 2.5.2
• Tokenizers 0.12.1