README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - amazon_us_reviews
metrics:
  - accuracy
model-index:
  - name: test_trainer
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: amazon_us_reviews
          type: amazon_us_reviews
          config: Books_v1_01
          split: train[:1%]
          args: Books_v1_01
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.7441424554826617

test_trainer

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

• Loss: 0.9348
• Accuracy: 0.7441

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
0.6471	1.0	7500	0.6596	0.7376
0.5235	2.0	15000	0.6997	0.7423
0.3955	3.0	22500	0.9348	0.7441

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.2