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model_2_stage3-seed_2025
maud-dr/model_2_stage3-seed_2025
model_2_stage3-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 5, 2025
- Updated
- Jun 5, 2025
- SHA
- 38a5b0c9
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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. -->
model_2_stage3-seed_2025
This model is a fine-tuned version of maud-dr/model_2_stage2-seed_42 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0962
- Precision: 0.6270
- Recall: 0.6059
- F1: 0.6163
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 |
|---|---|---|---|---|---|---|
| 0.1634 | 1.0 | 745 | 1.0563 | 0.6333 | 0.5991 | 0.6157 |
| 0.1316 | 2.0 | 1490 | 1.2545 | 0.5962 | 0.6982 | 0.6432 |
| 0.1042 | 3.0 | 2235 | 1.3465 | 0.6123 | 0.6509 | 0.6310 |
| 0.0982 | 4.0 | 2980 | 1.3607 | 0.6086 | 0.6689 | 0.6373 |
| 0.0584 | 5.0 | 3725 | 1.5593 | 0.6231 | 0.6441 | 0.6334 |
| 0.0523 | 6.0 | 4470 | 1.4722 | 0.6571 | 0.5698 | 0.6104 |
| 0.0403 | 7.0 | 5215 | 1.1651 | 0.6167 | 0.6306 | 0.6236 |
| 0.0547 | 8.0 | 5960 | 1.4298 | 0.6171 | 0.6171 | 0.6171 |
| 0.0266 | 9.0 | 6705 | 1.9920 | 0.6174 | 0.6216 | 0.6195 |
| 0.0275 | 10.0 | 7450 | 1.6296 | 0.6316 | 0.6216 | 0.6266 |
| 0.0262 | 11.0 | 8195 | 1.7069 | 0.5832 | 0.6712 | 0.6241 |
| 0.0285 | 12.0 | 8940 | 1.6690 | 0.6542 | 0.5495 | 0.5973 |
| 0.0032 | 13.0 | 9685 | 1.9120 | 0.6259 | 0.5991 | 0.6122 |
| 0.0012 | 14.0 | 10430 | 2.0423 | 0.6194 | 0.6194 | 0.6194 |
| 0.0001 | 15.0 | 11175 | 2.0962 | 0.6270 | 0.6059 | 0.6163 |
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 5, 2025
- Updated
- Jun 5, 2025