Kast-KIIT/distilbert-base-uncased-finetuned-sepsis

<!-- 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. -->

Kast-KIIT/distilbert-base-uncased-finetuned-sepsis

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: 1.6860
• —Validation Loss: 1.5830
• —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': 'AdamWeightDecay', 'learningrate': {'module': 'transformers.optimizationtf', 'classname': 'WarmUp', 'config': {'initiallearningrate': 2e-05, 'decayschedulefn': {'module': 'keras.optimizers.schedules', 'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 2e-05, 'decaysteps': -974, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registeredname': None}, 'warmupsteps': 1000, 'power': 1.0, 'name': None}, 'registeredname': 'WarmUp'}, 'decay': 0.0, 'beta1': np.float32(0.9), 'beta2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weightdecayrate': 0.01}
• —trainingprecision: mixedfloat16

Training results

Framework versions

• —Transformers 4.51.3
• —TensorFlow 2.18.0
• —Datasets 3.5.1
• —Tokenizers 0.21.1