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baseline_3-seed_123
maud-dr/baseline_3-seed_123
baseline_3-seed_123 is a text classification model from maud-dr. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jun 6, 2025
- Updated
- Jun 9, 2025
- SHA
- 67b74805
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Base models
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. -->
baseline_3-seed_123
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5330
- Precision: 0.3762
- Recall: 0.4239
- F1: 0.3986
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 123
- 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: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.7003 | 1.0 | 447 | 0.6781 | 0.5847 | 0.25 | 0.3503 |
| 0.6856 | 2.0 | 894 | 0.6851 | 0.4984 | 0.5580 | 0.5265 |
| 0.6807 | 3.0 | 1341 | 0.7132 | 0.4770 | 0.4891 | 0.4830 |
| 0.6466 | 4.0 | 1788 | 0.8288 | 0.4368 | 0.7391 | 0.5491 |
| 0.6199 | 5.0 | 2235 | 0.9322 | 0.3919 | 0.3877 | 0.3898 |
| 0.5555 | 6.0 | 2682 | 1.0183 | 0.4146 | 0.5362 | 0.4676 |
| 0.5314 | 7.0 | 3129 | 1.2989 | 0.4089 | 0.5688 | 0.4758 |
| 0.4984 | 8.0 | 3576 | 1.6869 | 0.3630 | 0.3986 | 0.3800 |
| 0.4826 | 9.0 | 4023 | 1.9650 | 0.3799 | 0.4529 | 0.4132 |
| 0.4688 | 10.0 | 4470 | 2.3726 | 0.3776 | 0.4022 | 0.3895 |
| 0.4172 | 11.0 | 4917 | 2.4798 | 0.3978 | 0.5145 | 0.4487 |
| 0.423 | 12.0 | 5364 | 2.8128 | 0.3827 | 0.4493 | 0.4133 |
| 0.4037 | 13.0 | 5811 | 3.0582 | 0.3863 | 0.4493 | 0.4154 |
| 0.3576 | 14.0 | 6258 | 3.2799 | 0.3830 | 0.4565 | 0.4165 |
| 0.3066 | 15.0 | 6705 | 3.5330 | 0.3762 | 0.4239 | 0.3986 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 6, 2025
- Updated
- Jun 9, 2025