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yahoo-bert-32shot-stratified_augm
otausendschoen/yahoo-bert-32shot-stratified_augm
yahoo-bert-32shot-stratified_augm 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
- eead34af
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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. -->
yahoo-bert-32shot-stratified_augm
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: 2.3091
- Accuracy: 0.1003
- Precision: 0.0667
- Recall: 0.0940
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 |
|---|---|---|---|---|---|---|
| 2.3296 | 1.0 | 1 | 2.3323 | 0.1055 | 0.0723 | 0.0993 |
| 2.2688 | 2.0 | 2 | 2.3335 | 0.1082 | 0.0472 | 0.1003 |
| 2.2159 | 3.0 | 3 | 2.3345 | 0.1097 | 0.0462 | 0.1010 |
| 2.3002 | 4.0 | 4 | 2.3286 | 0.1095 | 0.0489 | 0.1007 |
| 2.2269 | 5.0 | 5 | 2.3215 | 0.1109 | 0.0529 | 0.1021 |
| 2.1969 | 6.0 | 6 | 2.3147 | 0.1098 | 0.0500 | 0.1012 |
| 2.1892 | 7.0 | 7 | 2.3093 | 0.1105 | 0.1683 | 0.1022 |
| 2.1293 | 8.0 | 8 | 2.3050 | 0.1091 | 0.1656 | 0.1011 |
| 2.0481 | 9.0 | 9 | 2.3031 | 0.1086 | 0.0692 | 0.1008 |
| 2.0046 | 10.0 | 10 | 2.3034 | 0.1054 | 0.0545 | 0.0981 |
| 1.9887 | 11.0 | 11 | 2.3055 | 0.0992 | 0.0780 | 0.0926 |
| 1.9415 | 12.0 | 12 | 2.3091 | 0.1003 | 0.0667 | 0.0940 |
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