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classificacao_texto_hugging_face_v1
marcelovidigal/classificacao_texto_hugging_face_v1
classificacao_texto_hugging_face_v1 is a machine learning model from marcelovidigal. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 25, 2024
- Updated
- Sep 25, 2024
- SHA
- 1265316d
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. -->
classificacao_texto_hugging_face_v1
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3487
- Accuracy: 0.9329
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 |
|---|---|---|---|---|
| 0.2281 | 1.0 | 1563 | 0.2264 | 0.9129 |
| 0.1569 | 2.0 | 3126 | 0.2086 | 0.9316 |
| 0.0937 | 3.0 | 4689 | 0.2765 | 0.9332 |
| 0.0539 | 4.0 | 6252 | 0.3649 | 0.9253 |
| 0.0333 | 5.0 | 7815 | 0.3487 | 0.9329 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 25, 2024
- Updated
- Sep 25, 2024