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yahoo-bert-32shot-stratified_augm_2
tirdodbehbehani/yahoo-bert-32shot-stratified_augm_2
yahoo-bert-32shot-stratified_augm_2 is a text classification model from tirdodbehbehani. 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
- bert
- Access
- Public
- Created
- Jun 10, 2025
- Updated
- Jun 11, 2025
- SHA
- f6a4c6f2
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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. -->
yahoo-bert-32shot-stratified_augm_2
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3094
- Accuracy: 0.1296
- Precision: 0.1581
- Recall: 0.1268
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: 2e-05
- train_batch_size: 100
- eval_batch_size: 100
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 200
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall |
|---|---|---|---|---|---|---|
| 2.2974 | 1.0 | 1 | 2.3523 | 0.0936 | 0.0634 | 0.1038 |
| 2.3029 | 2.0 | 2 | 2.3354 | 0.1036 | 0.1318 | 0.1117 |
| 2.2841 | 3.0 | 3 | 2.3198 | 0.1216 | 0.1592 | 0.1269 |
| 2.1885 | 4.0 | 4 | 2.3089 | 0.1373 | 0.1649 | 0.1392 |
| 2.1643 | 5.0 | 5 | 2.3072 | 0.1426 | 0.1573 | 0.1415 |
| 2.1285 | 6.0 | 6 | 2.3107 | 0.1385 | 0.1385 | 0.1364 |
| 2.1014 | 7.0 | 7 | 2.3105 | 0.132 | 0.1447 | 0.1294 |
| 1.9553 | 8.0 | 8 | 2.3094 | 0.1296 | 0.1581 | 0.1268 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 10, 2025
- Updated
- Jun 11, 2025