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grammatical_mt5_model
rishikeshgautam/grammatical_mt5_model
grammatical_mt5_model is a machine learning model from rishikeshgautam. 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. The card lists the license as apache-2.0.
probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Feb 14, 2025
- Updated
- Feb 15, 2025
- SHA
- 6811d00d
Base models
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. -->
grammatical_mt5_model
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Epoch: 0
- Train Loss: 49.2615
- Train Accuracy: 0.0051
- Validation Loss: 46.5507
- Validation Accuracy: 0.0313
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': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.99, 'epsilon': 0.1, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Epoch | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy |
|---|---|---|---|---|
| 0 | 49.2615 | 0.0051 | 46.5507 | 0.0313 |
Framework versions
- Transformers 4.47.0
- TensorFlow 2.17.1
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Feb 14, 2025
- Updated
- Feb 15, 2025