request-for-help

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cptanalatriste/request-for-help

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1342
• Train Sparse Categorical Accuracy: 1.0
• Validation Loss: 0.1514
• Validation Sparse Categorical Accuracy: 0.9796
• Epoch: 19

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-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Framework versions

• Transformers 4.17.0
• TensorFlow 2.6.2
• Datasets 1.18.4
• Tokenizers 0.11.6