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funcname_roberta_20233731_1737
VictorEigen/funcname_roberta_20233731_1737
funcname_roberta_20233731_1737 is a machine learning model from VictorEigen. 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
- encoder-decoder
- Access
- Public
- Created
- Jul 31, 2023
- Updated
- Jul 31, 2023
- SHA
- 6464a2fc
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. -->
VictorEigen/funcname_roberta_20233731_1737
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 6.7800
- Validation Loss: 7.5572
- Epoch: 0
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 283, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 6.7800 | 7.5572 | 0 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.2
- Tokenizers 0.13.3
- Library
- transformers
- Type
- encoder-decoder
- Created
- Jul 31, 2023
- Updated
- Jul 31, 2023