| | ---
|
| | tags:
|
| | - generated_from_keras_callback
|
| | model-index:
|
| | - name: BERT_av
|
| | 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. -->
|
| |
|
| | # BERT_av
|
| |
|
| | 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: 8.5276
|
| | - Validation Loss: 8.8302
|
| | - Epoch: 0
|
| |
|
| | ## 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': False, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
|
| | - training_precision: float32
|
| |
|
| | ### Training results
|
| |
|
| | | Train Loss | Validation Loss | Epoch |
|
| | |:----------:|:---------------:|:-----:|
|
| | | 8.5276 | 8.8302 | 0 |
|
| |
|
| |
|
| | ### Framework versions
|
| |
|
| | - Transformers 4.42.0.dev0
|
| | - TensorFlow 2.16.1
|
| | - Datasets 2.20.0
|
| | - Tokenizers 0.19.1
|
| |
|
