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bert-qwantz-coherent
paul-stansifer/bert-qwantz-coherent
bert-qwantz-coherent is a text classification model from paul-stansifer. 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 2, 2024
- Updated
- May 2, 2024
- SHA
- 20034bbc
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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-qwantz-coherent
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: 0.6861
- Accuracy: 0.8240
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: 0.0001
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4695 | 1.0 | 339 | 0.4547 | 0.7956 |
| 0.2521 | 2.0 | 678 | 0.4364 | 0.8131 |
| 0.0627 | 3.0 | 1017 | 0.6861 | 0.8240 |
Can save 90% of coherent strings by discarding 80% of dp strings (cutoff is 57.403409481048584)
Can save 95% of coherent strings by discarding 63% of dp strings (cutoff is -83.01011323928833)
Can save 98% of coherent strings by discarding 44% of dp strings (cutoff is -97.15004563331604)
Can save 99% of coherent strings by discarding 33% of dp strings (cutoff is -98.31664562225342)
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 2, 2024
- Updated
- May 2, 2024