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text_analyzer_albert_new
antonioalvarado/text_analyzer_albert_new
text_analyzer_albert_new 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- Sep 6, 2023
- Updated
- Sep 13, 2023
- SHA
- 738f5b8d
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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_new
This model is a fine-tuned version of /home/antonio/code/trainer-build/text.analyzer.trainer/src/resource/model/config.json on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0541
- Accuracy: 0.4472
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 29.7818 | 1.0 | 9132 | 15.8758 | 0.4437 |
| 21.4171 | 2.0 | 18264 | 6.4477 | 0.4472 |
| 3.1718 | 3.0 | 27396 | 1.0541 | 0.4472 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.12.0+cpu
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- Created
- Sep 6, 2023
- Updated
- Sep 13, 2023