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focal_loss_exp
NCPhat2005/focal_loss_exp
focal_loss_exp is a machine learning model from NCPhat2005. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- May 31, 2026
- Updated
- May 31, 2026
- SHA
- 0c2ece65
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
focal_loss_exp
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1142
- F1 Macro: 32.1053
- Gen Len: 6.0029
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:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Gen Len |
|---|---|---|---|---|---|
| 0.1329 | 1.0 | 2494 | 0.1170 | 33.0589 | 5.9413 |
| 0.11 | 2.0 | 4988 | 0.1038 | 32.2483 | 6.0022 |
| 0.0883 | 3.0 | 7482 | 0.1142 | 32.1053 | 6.0029 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.12.0+cu130
- Datasets 4.8.5
- Tokenizers 0.21.0
- Library
- transformers
- Type
- t5
- Created
- May 31, 2026
- Updated
- May 31, 2026