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albert-base-v2-SST2-_incremental_pre_training
xinyixiuxiu/albert-base-v2-SST2-_incremental_pre_training
albert-base-v2-SST2-_incremental_pre_training is a text classification model from xinyixiuxiu. Use it when you need a label for a piece of text. It is set up for transformers.
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
- Apr 30, 2023
- Updated
- Apr 30, 2023
- SHA
- 2508355e
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
xinyixiuxiu/albert-base-v2-SST2-_incremental_pre_training
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2295
- Train Accuracy: 0.9080
- Validation Loss: 0.2354
- Validation Accuracy: 0.9243
- Epoch: 0
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:
- optimizer: {'name': 'Adam', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.2295 | 0.9080 | 0.2354 | 0.9243 | 0 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.7.0
- Datasets 2.10.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- Created
- Apr 30, 2023
- Updated
- Apr 30, 2023