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hierarchical-bert-model
Lavesh-Akhadkar/hierarchical-bert-model
hierarchical-bert-model is a machine learning model from Lavesh-Akhadkar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras.
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At a glance
- Library
- keras
- Access
- Public
- Created
- Oct 14, 2024
- Updated
- Oct 14, 2024
- SHA
- 7eca7157
Model card
From the Hugging Face model README
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:
| Hyperparameters | Value |
|---|---|
| name | Adam |
| weight_decay | None |
| clipnorm | None |
| global_clipnorm | None |
| clipvalue | None |
| use_ema | False |
| ema_momentum | 0.99 |
| ema_overwrite_frequency | None |
| jit_compile | True |
| is_legacy_optimizer | False |
| learning_rate | 4.999999873689376e-05 |
| beta_1 | 0.9 |
| beta_2 | 0.999 |
| epsilon | 1e-07 |
| amsgrad | False |
| training_precision | float32 |
Model Plot
<details> <summary>View Model Plot</summary>
- Library
- keras
- Created
- Oct 14, 2024
- Updated
- Oct 14, 2024