Distilbert Goodreads Genres | Sweet Tea Studio
Resources / Distilbert Goodreads Genres Distilbert Goodreads Genres Fine-tuned DistilBERT model for classifying book reviews into 8 genres. Training Hyperparameters Epochs: 3 Batch Size: 16 Learning Rate: 5e-05 Optimizer: AdamW Evaluation Results
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Kind text-classification Version v8c2591fbf5ef715c928de59c4852ba08f3f5aa6a License apache-2.0 Publisher @Pujaniitj C grade Model source
Kind text-classification
Version v8c2591fbf5ef715c928de59c4852ba08f3f5aa6a
License apache-2.0
Source Hugging Face --- license: apache-2.0 tags: - text-classification - distilbert - goodreads - genre-classification metrics: - accuracy - f1 --- # DistilBERT Goodreads Genre Classification ## Model Description Fine-tuned DistilBERT model for classifying book reviews into 8 genres. ## Training Hyperparameters - **Epochs:** 3 - **Batch Size:** 16 - **Learning Rate:** 5e-05 - **Optimizer:** AdamW ## Evaluation Results | Metric | Score | |-----------|-----------| | Accuracy | 0.5956 | | F1 Score | 0.5988 | | Eval Loss | 1.1631| ## Links - **W&B Run:** https://wandb.ai/pujaniitj-iit-jodpur/mlops-assignment2/runs/l3ka09fm - **Kaggle Notebook:** https://www.kaggle.com/code/g25ait2076/mlops-final - **GitHub Repository:** https://github.com/pujaniitj/Complete-mlops-workflow
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3 excerpts license: apache-2.0 tags: text-classification distilbert goodreads genre-classification metrics: accuracy f1
Fine-tuned DistilBERT model for classifying book reviews into 8 genres. Training Hyperparameters Epochs: 3 Batch Size: 16 Learning Rate: 5e-05 Optimizer: AdamW Evaluation Results
Pujaniitj/distilbert-goodreads-genres