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yahoo-bert-32shot-stratified_augm_2
otausendschoen/yahoo-bert-32shot-stratified_augm_2
yahoo-bert-32shot-stratified_augm_2 is a text classification model from otausendschoen. 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 7, 2025
- Updated
- Jun 7, 2025
- SHA
- 485530b1
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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: 2.3291
- Accuracy: 0.1515
- Precision: 0.1380
- Recall: 0.1422
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 |
|---|---|---|---|---|---|---|
| 1.7648 | 1.0 | 2 | 2.3396 | 0.0927 | 0.0867 | 0.0938 |
| 1.6414 | 2.0 | 4 | 2.3354 | 0.086 | 0.1012 | 0.0911 |
| 1.5549 | 3.0 | 6 | 2.3328 | 0.1058 | 0.1048 | 0.1092 |
| 1.4778 | 4.0 | 8 | 2.3223 | 0.1263 | 0.1088 | 0.1253 |
| 1.4011 | 5.0 | 10 | 2.3180 | 0.137 | 0.1982 | 0.1331 |
| 1.3663 | 6.0 | 12 | 2.3192 | 0.1428 | 0.1584 | 0.1367 |
| 1.3215 | 7.0 | 14 | 2.3231 | 0.1478 | 0.1692 | 0.1401 |
| 1.2811 | 8.0 | 16 | 2.3291 | 0.1515 | 0.1380 | 0.1422 |
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 7, 2025
- Updated
- Jun 7, 2025