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distil-bert-fintuned-subissue-cfpb-complaints
Mahesh9/distil-bert-fintuned-subissue-cfpb-complaints
distil-bert-fintuned-subissue-cfpb-complaints is a text classification model from Mahesh9. 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.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 28, 2024
- Updated
- Mar 29, 2024
- SHA
- 24dfeabd
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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. -->
distil-bert-fintuned-subissue-cfpb-complaints
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the Consumer Financial Protection Bureau(CFPB) dataset. It achieves the following results on the evaluation set:
- Loss: 0.9809
- Accuracy: 0.7110
- Precision: 0.4293
- Recall: 0.3614
- F1: 0.3474
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.998 | 1.0 | 11603 | 0.9809 | 0.7110 | 0.4293 | 0.3614 | 0.3474 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 28, 2024
- Updated
- Mar 29, 2024