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bert-finetuned-advisor-feedback
ElliotWeiner/bert-finetuned-advisor-feedback
bert-finetuned-advisor-feedback is a text classification model from ElliotWeiner. 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
- Sep 23, 2024
- Updated
- Sep 23, 2024
- SHA
- bb60ae8b
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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-finetuned-advisor-feedback
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: 0.0577
- F1: 0.9377
- Roc Auc: 0.9605
- Accuracy: 0.8564
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 404 | 0.2224 | 0.4395 | 0.6424 | 0.0866 |
| 0.2972 | 2.0 | 808 | 0.1361 | 0.8395 | 0.8720 | 0.5866 |
| 0.1464 | 3.0 | 1212 | 0.0951 | 0.9056 | 0.9269 | 0.7599 |
| 0.0841 | 4.0 | 1616 | 0.0770 | 0.9226 | 0.9472 | 0.8168 |
| 0.0529 | 5.0 | 2020 | 0.0653 | 0.9344 | 0.9569 | 0.8540 |
| 0.0529 | 6.0 | 2424 | 0.0603 | 0.9357 | 0.9565 | 0.8490 |
| 0.0384 | 7.0 | 2828 | 0.0577 | 0.9377 | 0.9605 | 0.8564 |
| 0.0323 | 8.0 | 3232 | 0.0569 | 0.9366 | 0.9579 | 0.8540 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 23, 2024
- Updated
- Sep 23, 2024