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baseline_1-seed_2025
maud-dr/baseline_1-seed_2025
baseline_1-seed_2025 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 4, 2025
- Updated
- Jun 5, 2025
- SHA
- d67e488b
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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_1-seed_2025
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: 3.0203
- Precision: 0.6238
- Recall: 0.7029
- F1: 0.6610
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: 2025
- 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 |
|---|---|---|---|---|---|---|
| 0.1713 | 1.0 | 447 | 1.5784 | 0.6209 | 0.6884 | 0.6529 |
| 0.1871 | 2.0 | 894 | 1.6753 | 0.6399 | 0.6630 | 0.6512 |
| 0.1613 | 3.0 | 1341 | 1.8808 | 0.6084 | 0.6304 | 0.6192 |
| 0.1367 | 4.0 | 1788 | 2.2017 | 0.6164 | 0.7101 | 0.6599 |
| 0.1101 | 5.0 | 2235 | 2.2647 | 0.6245 | 0.5725 | 0.5974 |
| 0.0603 | 6.0 | 2682 | 2.1269 | 0.6280 | 0.6667 | 0.6467 |
| 0.0642 | 7.0 | 3129 | 2.4185 | 0.5971 | 0.7355 | 0.6591 |
| 0.0757 | 8.0 | 3576 | 2.3896 | 0.6167 | 0.6703 | 0.6424 |
| 0.042 | 9.0 | 4023 | 2.1657 | 0.6295 | 0.6341 | 0.6318 |
| 0.0506 | 10.0 | 4470 | 2.5379 | 0.6254 | 0.7138 | 0.6667 |
| 0.0184 | 11.0 | 4917 | 2.7895 | 0.6171 | 0.7065 | 0.6588 |
| 0.0257 | 12.0 | 5364 | 2.9373 | 0.6246 | 0.6993 | 0.6598 |
| 0.003 | 13.0 | 5811 | 3.1143 | 0.6213 | 0.6775 | 0.6482 |
| 0.0248 | 14.0 | 6258 | 3.0020 | 0.6287 | 0.6993 | 0.6621 |
| 0.0002 | 15.0 | 6705 | 3.0203 | 0.6238 | 0.7029 | 0.6610 |
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 4, 2025
- Updated
- Jun 5, 2025