README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - sms_spam
metrics:
  - accuracy
model-index:
  - name: distilbert-base-uncased-finetuned-sms-spam-detection
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: sms_spam
          type: sms_spam
          args: plain_text
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9921090387374462

distilbert-base-uncased-finetuned-sms-spam-detection

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

• Loss: 0.0426
• Accuracy: 0.9921

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
0.0375	1.0	262	0.0549	0.9892
0.0205	2.0	524	0.0426	0.9921

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.11.0