abnv15/MLMA

1---2license: apache-2.03tags:4- generated_from_keras_callback5model-index:6- name: abnv15/MLMA7  results: []8---9 10<!-- This model card has been generated automatically according to the information Keras had access to. You should11probably proofread and complete it, then remove this comment. -->12 13# abnv15/MLMA14 15This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.16It achieves the following results on the evaluation set:17- Train Loss: 0.023718- Validation Loss: 0.064719- Epoch: 220 21## Model description22 23More information needed24 25## Intended uses & limitations26 27More information needed28 29## Training and evaluation data30 31More information needed32 33## Training procedure34 35### Training hyperparameters36 37The following hyperparameters were used during training:38- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1017, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}39- training_precision: mixed_float1640 41### Training results42 43| Train Loss | Validation Loss | Epoch |44|:----------:|:---------------:|:-----:|45| 0.1291     | 0.0647          | 0     |46| 0.0406     | 0.0633          | 1     |47| 0.0237     | 0.0647          | 2     |48 49 50### Framework versions51 52- Transformers 4.18.053- TensorFlow 2.8.054- Datasets 2.1.055- Tokenizers 0.12.156