
<!-- 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

{"license": "mit", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "Ashraf-kasem/custom_gpt2_frames_text_original_tokenizer", "results": []}]}
transformers tf tensorboard gpt2 text-generation generated_from_keras_callback license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #tf #tensorboard #gpt2 #text-generation #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

Ashraf-kasem/custom\_gpt2\_frames\_text\_original\_tokenizer
============================================================


This model is a fine-tuned version of 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



### Framework versions


* Transformers 4.25.1
* TensorFlow 2.9.0
* Datasets 2.8.0
* Tokenizers 0.13.2



### 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 ### Framework versions


* Transformers 4.25.1
* TensorFlow 2.9.0
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #tensorboard #gpt2 #text-generation #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### 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 ### Framework versions


* Transformers 4.25.1
* TensorFlow 2.9.0
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #tensorboard #gpt2 #text-generation #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### 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### Framework versions


* Transformers 4.25.1
* TensorFlow 2.9.0
* Datasets 2.8.0
* Tokenizers 0.13.2