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xinyixiuxiu/albert-base-v2-SST2-finetuned
This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1015
- Train Accuracy: 0.9646
- Validation Loss: 0.2434
- Validation Accuracy: 0.9117
- 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': 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 |
|---|---|---|---|---|
| 0.2285 | 0.9108 | 0.2203 | 0.9060 | 0 |
| 0.1356 | 0.9513 | 0.2264 | 0.9083 | 1 |
| 0.1015 | 0.9646 | 0.2434 | 0.9117 | 2 |
Framework versions
- Transformers 4.21.1
- TensorFlow 2.7.0
- Datasets 2.10.1
- Tokenizers 0.12.1
