| | --- |
| | license: mit |
| | base_model: gpt2 |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: ardanila/gpt2-vectorizer |
| | 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. --> |
| |
|
| | # ardanila/gpt2-vectorizer |
| |
|
| | This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 4.4463 |
| | - Validation Loss: 3.1108 |
| | - 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
| | - training_precision: float32 |
| |
|
| | ### Training results |
| |
|
| | | Train Loss | Validation Loss | Epoch | |
| | |:----------:|:---------------:|:-----:| |
| | | 4.4463 | 3.1108 | 0 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.3 |
| | - TensorFlow 2.13.0 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| |
|
