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age_gender_ft_1
s8n29/age_gender_ft_1
age_gender_ft_1 is a machine learning model from s8n29. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- distilbert
- Access
- Public
- Created
- Sep 6, 2024
- Updated
- Sep 8, 2024
- SHA
- 78d33a10
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. -->
finance_stereotype_detection
This model is a fine-tuned version of wu981526092/Sentence-Level-Stereotype-Detector on a custom dataset. It achieves the following results on the evaluation set:
- Loss: 0.1719
- Accuracy: 0.9782
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 387 | 0.2058 | 0.9501 |
| 0.2945 | 2.0 | 774 | 0.1557 | 0.9632 |
| 0.1004 | 3.0 | 1161 | 0.1389 | 0.9714 |
| 0.0681 | 4.0 | 1548 | 0.1481 | 0.9695 |
| 0.0681 | 5.0 | 1935 | 0.1211 | 0.9733 |
| 0.0361 | 6.0 | 2322 | 0.1796 | 0.9729 |
| 0.016 | 7.0 | 2709 | 0.1419 | 0.9782 |
| 0.007 | 8.0 | 3096 | 0.1687 | 0.9762 |
| 0.007 | 9.0 | 3483 | 0.1721 | 0.9777 |
| 0.0017 | 10.0 | 3870 | 0.1719 | 0.9782 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- mit
- Created
- Sep 6, 2024
- Updated
- Sep 8, 2024