xinyixiuxiu/albert-large-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: 0.1018
  • Train Accuracy: 0.9653
  • Validation Loss: 0.1717
  • Validation Accuracy: 0.9392
  • 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': 2e-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
0.2284 0.9105 0.1978 0.9335 0
0.1384 0.9495 0.1822 0.9346 1
0.1018 0.9653 0.1717 0.9392 2

Framework versions

  • Transformers 4.28.1
  • TensorFlow 2.7.0
  • Datasets 2.10.1
  • Tokenizers 0.12.1
Downloads last month
1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support