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olober
oloberin/olober
olober is a tabular classification model from oloberin. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. It is set up for tf-keras. The card lists the license as cc0-1.0.
This repo contains the model and the notebook on how to build and train a Keras model for Collaborative Filtering for Movie Recommendations.
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Repo size
6.5 MB
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At a glance
- Task
- Tabular Classification
- Library
- tf-keras
- License
- cc0-1.0
- Access
- Public
- Created
- Oct 3, 2024
- Updated
- Oct 3, 2024
- SHA
- f20006ed
Model card
From the Hugging Face model README
Model description
This repo contains the model and the notebook on how to build and train a Keras model for Collaborative Filtering for Movie Recommendations.
Full credits to Siddhartha Banerjee.
Intended uses & limitations
Based on a user and movies they have rated highly in the past, this model outputs the predicted rating a user would give to a movie they haven't seen yet (between 0-1). This information can be used to find out the top recommended movies for this user.
Training and evaluation data
The dataset consists of user's ratings on specific movies. It also consists of the movie's specific genres.
Training procedure
The model was trained for 5 epochs with a batch size of 64.
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training Metrics
| Epochs | Train Loss | Validation Loss |
|---|---|---|
| 1 | 0.637 | 0.619 |
| 2 | 0.614 | 0.616 |
| 3 | 0.609 | 0.611 |
| 4 | 0.608 | 0.61 |
| 5 | 0.608 | 0.609 |
Model Plot
<details> <summary>View Model Plot</summary>
- Task
- Tabular Classification
- Library
- tf-keras
- License
- cc0-1.0
- Created
- Oct 3, 2024
- Updated
- Oct 3, 2024