fassahat/distillbert-base-uncased-finetuned-150k-patent-sentences

<!-- 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. -->

fassahat/distillbert-base-uncased-finetuned-150k-patent-sentences

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

• —Train Loss: 0.2887
• —Validation Loss: 0.4392
• —Train Accuracy: 0.8414
• —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', 'learningrate': {'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 2e-05, 'decaysteps': 22500, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.23.1
• —TensorFlow 2.9.2
• —Datasets 2.6.1
• —Tokenizers 0.13.1