| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_keras_callback |
| | base_model: distilgpt2 |
| | model-index: |
| | - name: eliwill/stoic-generator-10e |
| | 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. --> |
| |
|
| | # eliwill/stoic-generator-10e |
| |
|
| | This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 3.4753 |
| | - Validation Loss: 3.7980 |
| | - 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': '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 | |
| | |:----------:|:---------------:|:-----:| |
| | | 4.0230 | 3.9474 | 0 | |
| | | 3.8580 | 3.8982 | 1 | |
| | | 3.7757 | 3.8721 | 2 | |
| | | 3.7149 | 3.8489 | 3 | |
| | | 3.6640 | 3.8343 | 4 | |
| | | 3.6210 | 3.8152 | 5 | |
| | | 3.5796 | 3.8088 | 6 | |
| | | 3.5429 | 3.8038 | 7 | |
| | | 3.5061 | 3.7967 | 8 | |
| | | 3.4753 | 3.7980 | 9 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.22.1 |
| | - TensorFlow 2.8.2 |
| | - Datasets 2.5.1 |
| | - Tokenizers 0.12.1 |
| |
|
