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AoDistilBERT_Fine_tuned
kumbi500/AoDistilBERT_Fine_tuned
AoDistilBERT_Fine_tuned is a text classification model from kumbi500. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Feb 24, 2024
- Updated
- Feb 24, 2024
- SHA
- 0593433a
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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. -->
AoDistilBERT_Fine_tuned
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2923
- Accuracy: 0.8802
- F1: 0.8800
- Precision: 0.8814
- Recall: 0.8796
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3218 | 1.0 | 1000 | 0.2923 | 0.8802 | 0.8800 | 0.8814 | 0.8796 |
| 0.2408 | 2.0 | 2000 | 0.2934 | 0.8852 | 0.8852 | 0.8853 | 0.8851 |
| 0.194 | 3.0 | 3000 | 0.3367 | 0.8822 | 0.8821 | 0.8826 | 0.8819 |
| 0.149 | 4.0 | 4000 | 0.3915 | 0.8778 | 0.8774 | 0.8790 | 0.8770 |
| 0.1238 | 5.0 | 5000 | 0.4527 | 0.8745 | 0.8744 | 0.8746 | 0.8742 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Feb 24, 2024
- Updated
- Feb 24, 2024