Downloads · 30 days
4
20% of all-time downloads
my_Med
AtherMob/my_Med
my_Med is a machine learning model from AtherMob. 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. --
All-time downloads
20
Public
Repo size
374 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.h5374 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 4, 2022
- Updated
- Dec 4, 2022
- SHA
- a848cef1
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. -->
my_Med
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.5902
- Validation Loss: 1.3655
- Epoch: 9
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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.8689 | 2.0671 | 0 |
| 2.2250 | 1.8456 | 1 |
| 2.0132 | 1.7104 | 2 |
| 1.9079 | 1.6828 | 3 |
| 1.8237 | 1.5935 | 4 |
| 1.7651 | 1.5240 | 5 |
| 1.7246 | 1.4930 | 6 |
| 1.6565 | 1.4191 | 7 |
| 1.6166 | 1.3944 | 8 |
| 1.5902 | 1.3655 | 9 |
Framework versions
- Transformers 4.25.1
- TensorFlow 2.9.2
- Datasets 2.7.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 4, 2022
- Updated
- Dec 4, 2022