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Bert_Bourse_new
Hermann-Meier/Bert_Bourse_new
Bert_Bourse_new is a machine learning model from Hermann-Meier. 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 transformers.
probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024
- SHA
- 5cd93b73
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
Bert_Bourse_new
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 6.6190
- Validation Loss: 6.6945
- Epoch: 1
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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': 1.0, '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': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 7.0902 | 6.8328 | 0 |
| 6.6190 | 6.6945 | 1 |
Framework versions
- Transformers 4.46.0.dev0
- TensorFlow 2.17.0
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- transformers
- Type
- bert
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024