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historical-events-reimagined
Kaludi/historical-events-reimagined
historical-events-reimagined is a machine learning model from Kaludi. 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 mit.
probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Mar 27, 2023
- Updated
- Mar 27, 2023
- SHA
- 12b000f5
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. -->
historical-events-reimagined
This model is a fine-tuned version of philschmid/bart-large-cnn-samsum on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5102
- Validation Loss: 2.2624
- Epoch: 4
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 |
|---|---|---|
| 2.7539 | 2.1578 | 0 |
| 1.6416 | 1.9498 | 1 |
| 1.1524 | 1.9922 | 2 |
| 0.7703 | 2.1343 | 3 |
| 0.5102 | 2.2624 | 4 |
Framework versions
- Transformers 4.27.3
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Mar 27, 2023
- Updated
- Mar 27, 2023