Downloads · 30 days
8
21% of all-time downloads
tensorflowt5banel
fia24/tensorflowt5banel
tensorflowt5banel is a machine learning model from fia24. 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
38
Public
Repo size
3.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.h53.9 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Aug 15, 2023
- Updated
- Aug 15, 2023
- SHA
- 2b0056b9
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. -->
tensorflowt5banel
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6064
- Train Accuracy: 0.9061
- Validation Loss: 0.4564
- Validation Accuracy: 0.9326
- Epoch: 3
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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 8.0095 | 0.6595 | 0.8290 | 0.8899 | 0 |
| 1.0025 | 0.8851 | 0.6393 | 0.8900 | 1 |
| 0.7252 | 0.8958 | 0.5124 | 0.9151 | 2 |
| 0.6064 | 0.9061 | 0.4564 | 0.9326 | 3 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Aug 15, 2023
- Updated
- Aug 15, 2023