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albert-xxlarge-v2-SST2-finetuned-try
xinyixiuxiu/albert-xxlarge-v2-SST2-finetuned-try
albert-xxlarge-v2-SST2-finetuned-try 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. The card lists the license as apache-2.0.
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
- Mar 24, 2023
- Updated
- Mar 24, 2023
- SHA
- 7f98f9ae
Try a prompt
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-xxlarge-v2-SST2-finetuned-try
This model is a fine-tuned version of albert-xxlarge-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3689
- Train Accuracy: 0.8560
- Validation Loss: 0.3286
- Validation Accuracy: 0.8899
- Epoch: 2
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': 3e-06, '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 |
|---|---|---|---|---|
| 0.6923 | 0.5660 | 0.6693 | 0.5814 | 0 |
| 0.6081 | 0.6550 | 0.5309 | 0.7431 | 1 |
| 0.3689 | 0.8560 | 0.3286 | 0.8899 | 2 |
Framework versions
- Transformers 4.21.1
- TensorFlow 2.7.0
- Datasets 2.10.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Mar 24, 2023
- Updated
- Mar 24, 2023