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yt-title-grader

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
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yt-title-grader / README.md
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metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - text-classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: yt-title-grader
    results: []

yt-title-grader

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

  • Loss: 0.4606
  • Accuracy: 0.7959

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: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.5255 1.0 1357 0.4761 0.7782
0.3791 2.0 2714 0.4606 0.7959
0.264 3.0 4071 0.5174 0.7982

Framework versions

  • Transformers 4.32.1
  • Pytorch 1.13.1
  • Datasets 2.14.4
  • Tokenizers 0.13.3