DracoHugging's picture
Update README.md
44b8378
metadata
model-index:
  - name: DracoHugging/Distilbert-sentiment-analysis
    results:
      - task:
          type: Text Classification
          name: Sentiment Analysis
        dataset:
          type: Text-2-Text
          name: knkarthick/dialogsum
        metrics:
          - type: Validation Loss
            value: 1.08
            verified: true

Distilbert-sentiment-analysis

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

  • Loss: 1.2745

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: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
1.1633 1.0 1178 1.1116
1.0524 2.0 2356 1.0836
0.9103 3.0 3534 1.1135
0.7676 4.0 4712 1.1945
0.659 5.0 5890 1.2745

Framework versions

  • Transformers 4.30.1
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3