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bert-base-uncased-disfluency-filled-pauses-detection-test
hafidev/bert-base-uncased-disfluency-filled-pauses-detection-test
bert-base-uncased-disfluency-filled-pauses-detection-test is a token classification model from hafidev. Use it when you need labels on individual words, such as names. 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
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 17, 2025
- Updated
- Apr 17, 2025
- SHA
- 7ed16a16
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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. -->
bert-base-uncased-disfluency-filled-pauses-detection-test
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0026
- Model Preparation Time: 0.0056
- Accuracy: 0.9994
- Precision: 0.9936
- Recall: 0.9968
- F1: 0.9952
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|
| 0.041 | 1.0 | 500 | 0.0022 | 0.0056 | 0.9995 | 0.9957 | 0.9968 | 0.9962 |
| 0.0035 | 2.0 | 1000 | 0.0026 | 0.0056 | 0.9994 | 0.9936 | 0.9968 | 0.9952 |
| 0.0024 | 3.0 | 1500 | 0.0024 | 0.0056 | 0.9993 | 0.9914 | 0.9968 | 0.9941 |
| 0.0018 | 4.0 | 2000 | 0.0023 | 0.0056 | 0.9994 | 0.9925 | 0.9968 | 0.9946 |
| 0.0012 | 5.0 | 2500 | 0.0026 | 0.0056 | 0.9994 | 0.9936 | 0.9968 | 0.9952 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 17, 2025
- Updated
- Apr 17, 2025