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text_analyzer_albert-base-v3
antonioalvarado/text_analyzer_albert-base-v3
text_analyzer_albert-base-v3 is a text classification model from antonioalvarado. 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
- albert
- Access
- Public
- Created
- Aug 8, 2023
- Updated
- Aug 10, 2023
- SHA
- 5cc0f4c6
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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. -->
text_analyzer_albert-base-v3
This model is a fine-tuned version of albert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6595
- Accuracy: 0.9663
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: 0.1
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 15.7367 | 1.0 | 1303 | 15.8615 | 0.9663 |
| 4.8046 | 2.0 | 2606 | 3.7423 | 0.9663 |
| 6.7443 | 3.0 | 3909 | 0.8369 | 0.9663 |
| 2.3222 | 4.0 | 5212 | 0.6595 | 0.9663 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.13.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Aug 8, 2023
- Updated
- Aug 10, 2023