| | --- |
| | license: mit |
| | base_model: roberta-base |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: t4ai/finetuning-classification-model-t4-roberta2 |
| | 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. --> |
| |
|
| | # t4ai/finetuning-classification-model-t4-roberta2 |
| |
|
| | This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.2905 |
| | - Epoch: 1 |
| |
|
| | ## 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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16240, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
| | - training_precision: mixed_float16 |
| | |
| | ### Training results |
| | |
| | | Train Loss | Epoch | |
| | |:----------:|:-----:| |
| | | 0.4000 | 0 | |
| | | 0.2905 | 1 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.34.0 |
| | - TensorFlow 2.13.0 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| | |
