sl8425/troubleshooting_steps_printer

1---2license: apache-2.03tags:4- generated_from_keras_callback5model-index:6- name: sl8425/troubleshooting_steps_printer7  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# sl8425/troubleshooting_steps_printer14 15This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.16It achieves the following results on the evaluation set:17- Train Loss: 0.864418- Validation Loss: 0.874419- Train Accuracy: 0.745720- Epoch: 221 22## Model description23 24More information needed25 26## Intended uses & limitations27 28More information needed29 30## Training and evaluation data31 32More information needed33 34## Training procedure35 36### Training hyperparameters37 38The following hyperparameters were used during training:39- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 369, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}40- training_precision: float3241 42### Training results43 44| Train Loss | Validation Loss | Train Accuracy | Epoch |45|:----------:|:---------------:|:--------------:|:-----:|46| 1.6729     | 1.1343          | 0.6428         | 0     |47| 1.0262     | 0.9056          | 0.7366         | 1     |48| 0.8644     | 0.8744          | 0.7457         | 2     |49 50 51### Framework versions52 53- Transformers 4.30.254- TensorFlow 2.12.055- Datasets 2.13.156- Tokenizers 0.13.357