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dyu-fr-t5-small
abiyo27/dyu-fr-t5-small
dyu-fr-t5-small is a machine learning model from abiyo27. 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
- t5
- Access
- Public
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024
- SHA
- 9d97a8c2
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. -->
MelioAI/dyu-fr-t5-small
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: 2.9407
- Validation Loss: 2.8077
- Epoch: 14
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 |
|---|---|---|
| 3.6834 | 3.2430 | 0 |
| 3.4664 | 3.1439 | 1 |
| 3.3758 | 3.0806 | 2 |
| 3.3119 | 3.0289 | 3 |
| 3.2570 | 2.9903 | 4 |
| 3.2105 | 2.9581 | 5 |
| 3.1684 | 2.9341 | 6 |
| 3.1278 | 2.9103 | 7 |
| 3.1003 | 2.8932 | 8 |
| 3.0670 | 2.8764 | 9 |
| 3.0360 | 2.8615 | 10 |
| 3.0159 | 2.8436 | 11 |
| 2.9895 | 2.8322 | 12 |
| 2.9633 | 2.8204 | 13 |
| 2.9407 | 2.8077 | 14 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024