|
--- |
|
license: mit |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: textgenerator |
|
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. --> |
|
|
|
# textgenerator |
|
|
|
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: 5.7309 |
|
- Validation Loss: 6.3030 |
|
- Epoch: 19 |
|
|
|
## 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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -887, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
|
- training_precision: mixed_float16 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 10.2937 | 9.6742 | 0 | |
|
| 9.2524 | 8.8693 | 1 | |
|
| 8.2666 | 7.9135 | 2 | |
|
| 7.3757 | 7.3273 | 3 | |
|
| 6.9147 | 6.9741 | 4 | |
|
| 6.5844 | 6.7259 | 5 | |
|
| 6.3340 | 6.5383 | 6 | |
|
| 6.0966 | 6.3904 | 7 | |
|
| 5.8915 | 6.3030 | 8 | |
|
| 5.7314 | 6.3030 | 9 | |
|
| 5.7268 | 6.3030 | 10 | |
|
| 5.7300 | 6.3030 | 11 | |
|
| 5.7283 | 6.3030 | 12 | |
|
| 5.7314 | 6.3030 | 13 | |
|
| 5.7284 | 6.3030 | 14 | |
|
| 5.7323 | 6.3030 | 15 | |
|
| 5.7304 | 6.3030 | 16 | |
|
| 5.7292 | 6.3030 | 17 | |
|
| 5.7311 | 6.3030 | 18 | |
|
| 5.7309 | 6.3030 | 19 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.21.0 |
|
- TensorFlow 2.8.2 |
|
- Datasets 2.4.0 |
|
- Tokenizers 0.12.1 |
|
|
