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yahoo-bert-32shot
otausendschoen/yahoo-bert-32shot
yahoo-bert-32shot 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
- May 29, 2025
- Updated
- Jun 6, 2025
- SHA
- 13b2d60b
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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
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: 2.3118
- Accuracy: 0.1289
- Precision: 0.1064
- Recall: 0.1313
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 |
|---|---|---|---|---|---|---|
| 1.2358 | 1.0 | 1 | 2.3792 | 0.09 | 0.1152 | 0.0996 |
| 1.1843 | 2.0 | 2 | 2.3509 | 0.1013 | 0.0961 | 0.1102 |
| 1.155 | 3.0 | 3 | 2.3509 | 0.1013 | 0.0961 | 0.1102 |
| 1.1314 | 4.0 | 4 | 2.3370 | 0.1146 | 0.0899 | 0.1221 |
| 1.1329 | 5.0 | 5 | 2.3265 | 0.1179 | 0.0959 | 0.1231 |
| 1.1008 | 6.0 | 6 | 2.3205 | 0.1238 | 0.0951 | 0.1278 |
| 1.0631 | 7.0 | 7 | 2.3157 | 0.1277 | 0.0954 | 0.1297 |
| 1.0569 | 8.0 | 8 | 2.3123 | 0.1306 | 0.0985 | 0.1315 |
| 1.0326 | 9.0 | 9 | 2.3105 | 0.129 | 0.0969 | 0.1296 |
| 1.0291 | 10.0 | 10 | 2.3098 | 0.1273 | 0.0951 | 0.1283 |
| 1.0187 | 11.0 | 11 | 2.3094 | 0.1285 | 0.1041 | 0.1295 |
| 0.9912 | 12.0 | 12 | 2.3096 | 0.1296 | 0.1041 | 0.1312 |
| 0.9704 | 13.0 | 13 | 2.3106 | 0.1294 | 0.1084 | 0.1314 |
| 0.9498 | 14.0 | 14 | 2.3118 | 0.1289 | 0.1064 | 0.1313 |
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
- May 29, 2025
- Updated
- Jun 6, 2025