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translate_med_term_ev_final
phuong123/translate_med_term_ev_final
translate_med_term_ev_final is a machine learning model from phuong123. 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 openrail.
probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- openrail
- Model type
- t5
- Access
- Public
- Created
- May 17, 2024
- Updated
- May 18, 2024
- SHA
- c105962c
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. -->
translate_med_term_ev_final
This model is a fine-tuned version of phuong123/translate_med_term_ev_final on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3185
- Validation Loss: 0.3968
- 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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1886, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 |
|---|---|---|
| 0.6435 | 0.4200 | 0 |
| 0.3185 | 0.3968 | 1 |
Framework versions
- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- openrail
- Created
- May 17, 2024
- Updated
- May 18, 2024