|
|
--- |
|
|
license: mit |
|
|
tags: |
|
|
- generated_from_keras_callback |
|
|
model-index: |
|
|
- name: Ashraf-kasem/custom_gpt2_frames_text_original_tokenizer |
|
|
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. --> |
|
|
|
|
|
# Ashraf-kasem/custom_gpt2_frames_text_original_tokenizer |
|
|
|
|
|
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: 1.1074 |
|
|
- Validation Loss: 1.6432 |
|
|
- Epoch: 29 |
|
|
|
|
|
## 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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 240780, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
|
|
- training_precision: mixed_float16 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|
|:----------:|:---------------:|:-----:| |
|
|
| 4.3075 | 3.4095 | 0 | |
|
|
| 3.1973 | 2.8234 | 1 | |
|
|
| 2.7420 | 2.5057 | 2 | |
|
|
| 2.4541 | 2.3022 | 3 | |
|
|
| 2.2507 | 2.1648 | 4 | |
|
|
| 2.0962 | 2.0612 | 5 | |
|
|
| 1.9736 | 1.9885 | 6 | |
|
|
| 1.8729 | 1.9286 | 7 | |
|
|
| 1.7883 | 1.8823 | 8 | |
|
|
| 1.7153 | 1.8448 | 9 | |
|
|
| 1.6517 | 1.8113 | 10 | |
|
|
| 1.5953 | 1.7864 | 11 | |
|
|
| 1.5446 | 1.7624 | 12 | |
|
|
| 1.4994 | 1.7459 | 13 | |
|
|
| 1.4578 | 1.7294 | 14 | |
|
|
| 1.4200 | 1.7171 | 15 | |
|
|
| 1.3851 | 1.7026 | 16 | |
|
|
| 1.3528 | 1.6958 | 17 | |
|
|
| 1.3229 | 1.6846 | 18 | |
|
|
| 1.2950 | 1.6760 | 19 | |
|
|
| 1.2690 | 1.6704 | 20 | |
|
|
| 1.2448 | 1.6650 | 21 | |
|
|
| 1.2223 | 1.6599 | 22 | |
|
|
| 1.2012 | 1.6539 | 23 | |
|
|
| 1.1815 | 1.6534 | 24 | |
|
|
| 1.1635 | 1.6486 | 25 | |
|
|
| 1.1470 | 1.6457 | 26 | |
|
|
| 1.1318 | 1.6443 | 27 | |
|
|
| 1.1185 | 1.6434 | 28 | |
|
|
| 1.1074 | 1.6432 | 29 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.25.1 |
|
|
- TensorFlow 2.9.0 |
|
|
- Datasets 2.8.0 |
|
|
- Tokenizers 0.13.2 |
|
|
|
