| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: darshan7/Model_xlnet_results |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # darshan7/Model_xlnet_results |
| |
|
| | This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.0058 |
| | - Validation Loss: 0.0110 |
| | - Epoch: 9 |
| |
|
| | ## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 181655, '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} |
| | - training_precision: float32 |
| | |
| | ### Training results |
| | |
| | | Train Loss | Validation Loss | Epoch | |
| | |:----------:|:---------------:|:-----:| |
| | | 0.0392 | 0.0262 | 0 | |
| | | 0.0211 | 0.0185 | 1 | |
| | | 0.0151 | 0.0161 | 2 | |
| | | 0.0110 | 0.0127 | 3 | |
| | | 0.0074 | 0.0110 | 4 | |
| | | 0.0058 | 0.0110 | 5 | |
| | | 0.0058 | 0.0110 | 6 | |
| | | 0.0058 | 0.0110 | 7 | |
| | | 0.0059 | 0.0110 | 8 | |
| | | 0.0058 | 0.0110 | 9 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.30.1 |
| | - TensorFlow 2.12.0 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| | |
