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bart_informative_canon_tpuv4-16
arthd24/bart_informative_canon_tpuv4-16
bart_informative_canon_tpuv4-16 is a machine learning model from arthd24. 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 cc-by-sa-3.0.
probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-sa-3.0
- Model type
- bart
- Access
- Public
- Created
- May 12, 2025
- Updated
- May 12, 2025
- SHA
- a313d2f4
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. -->
arthd24/bart_informative_canon_tpuv4-16
This model is a fine-tuned version of cahya/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.9645
- Validation Loss: 1.3407
- 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': 0.00016, '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 |
|---|---|---|
| 1.4942 | 1.3048 | 0 |
| 1.2638 | 1.2892 | 1 |
| 1.1444 | 1.3026 | 2 |
| 1.0489 | 1.3232 | 3 |
| 0.9645 | 1.3407 | 4 |
Framework versions
- Transformers 4.51.3
- TensorFlow 2.16.1
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- bart
- License
- cc-by-sa-3.0
- Created
- May 12, 2025
- Updated
- May 12, 2025