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model_2_stage3-seed_123
maud-dr/model_2_stage3-seed_123
model_2_stage3-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 4, 2025
- Updated
- Jun 5, 2025
- SHA
- fb1c7ea5
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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_123
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: 1.9828
- Precision: 0.6416
- Recall: 0.6329
- F1: 0.6372
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 |
|---|---|---|---|---|---|---|
| 0.3227 | 1.0 | 745 | 0.8746 | 0.6085 | 0.6126 | 0.6105 |
| 0.237 | 2.0 | 1490 | 1.1767 | 0.5567 | 0.7185 | 0.6273 |
| 0.1778 | 3.0 | 2235 | 0.9108 | 0.6499 | 0.6396 | 0.6447 |
| 0.0908 | 4.0 | 2980 | 1.3926 | 0.6295 | 0.5856 | 0.6068 |
| 0.0664 | 5.0 | 3725 | 1.4232 | 0.6008 | 0.6374 | 0.6186 |
| 0.0568 | 6.0 | 4470 | 1.2964 | 0.6189 | 0.6329 | 0.6258 |
| 0.0513 | 7.0 | 5215 | 1.7220 | 0.6994 | 0.5450 | 0.6127 |
| 0.0642 | 8.0 | 5960 | 1.6545 | 0.6360 | 0.6374 | 0.6367 |
| 0.0291 | 9.0 | 6705 | 1.7990 | 0.6 | 0.6824 | 0.6386 |
| 0.0149 | 10.0 | 7450 | 1.8379 | 0.6276 | 0.6149 | 0.6212 |
| 0.0105 | 11.0 | 8195 | 1.7437 | 0.6331 | 0.6374 | 0.6352 |
| 0.0134 | 12.0 | 8940 | 1.9164 | 0.6315 | 0.6329 | 0.6322 |
| 0.0132 | 13.0 | 9685 | 1.9616 | 0.6368 | 0.6396 | 0.6382 |
| 0.0237 | 14.0 | 10430 | 1.8826 | 0.6478 | 0.6171 | 0.6321 |
| 0.0032 | 15.0 | 11175 | 1.9828 | 0.6416 | 0.6329 | 0.6372 |
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