| | --- |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: botGPT2_org_ds_cosine |
| | 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. --> |
| |
|
| | # botGPT2_org_ds_cosine |
| | |
| | This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.1752 |
| | - Train Accuracy: 0.0379 |
| | - Train Perplexity: 236.0702 |
| | - Validation Loss: 0.1399 |
| | - Validation Accuracy: 0.0368 |
| | - Validation Perplexity: 372.2610 |
| | - Epoch: 3 |
| | |
| | ## 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': 'AdamW', 'weight_decay': 0.004, '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': 5.4921643e-06, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
| | - training_precision: float32 |
| |
|
| | ### Training results |
| |
|
| | | Train Loss | Train Accuracy | Train Perplexity | Validation Loss | Validation Accuracy | Validation Perplexity | Epoch | |
| | |:----------:|:--------------:|:----------------:|:---------------:|:-------------------:|:---------------------:|:-----:| |
| | | 1.3340 | 0.0379 | 1745.3442 | 0.2794 | 0.0350 | 106.1728 | 0 | |
| | | 0.2532 | 0.0380 | 138.7101 | 0.1499 | 0.0374 | 397.5620 | 1 | |
| | | 0.1780 | 0.0379 | 232.5203 | 0.1403 | 0.0375 | 365.7160 | 2 | |
| | | 0.1752 | 0.0379 | 236.0702 | 0.1399 | 0.0368 | 372.2610 | 3 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.0 |
| | - TensorFlow 2.11.0 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.2 |
| |
|
