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mt5-small-finetuned-news-ab
jiseong/mt5-small-finetuned-news-ab
mt5-small-finetuned-news-ab is a machine learning model from jiseong. 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
- Jun 1, 2022
- Updated
- Jun 2, 2022
- SHA
- 52f361f4
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. -->
jiseong/mt5-small-finetuned-news-ab
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.0174
- Validation Loss: 1.7411
- 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 | Validation Loss | Epoch |
|---|---|---|
| 4.1124 | 2.0706 | 0 |
| 2.4090 | 1.8742 | 1 |
| 2.1379 | 1.7889 | 2 |
| 2.0174 | 1.7411 | 3 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.2
- Datasets 2.2.2
- Tokenizers 0.12.1
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jun 1, 2022
- Updated
- Jun 2, 2022