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bert-base-casedhealth_model1
mr-rov/bert-base-casedhealth_model1
bert-base-casedhealth_model1 is a text classification model from mr-rov. 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
- Feb 21, 2024
- Updated
- Feb 21, 2024
- SHA
- b3e852d9
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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. -->
test_trainer
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1319
- Accuracy: {'accuracy': 0.7010869565217391}
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 92 | 0.9215 | {'accuracy': 0.625} |
| No log | 2.0 | 184 | 0.8079 | {'accuracy': 0.6739130434782609} |
| No log | 3.0 | 276 | 1.1221 | {'accuracy': 0.6902173913043478} |
| No log | 4.0 | 368 | 1.7338 | {'accuracy': 0.6684782608695652} |
| No log | 5.0 | 460 | 1.9489 | {'accuracy': 0.6847826086956522} |
| 0.3959 | 6.0 | 552 | 1.9017 | {'accuracy': 0.7065217391304348} |
| 0.3959 | 7.0 | 644 | 1.9854 | {'accuracy': 0.7065217391304348} |
| 0.3959 | 8.0 | 736 | 2.0787 | {'accuracy': 0.7010869565217391} |
| 0.3959 | 9.0 | 828 | 2.1006 | {'accuracy': 0.7119565217391305} |
| 0.3959 | 10.0 | 920 | 2.1319 | {'accuracy': 0.7010869565217391} |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cpu
- Datasets 2.16.1
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024