
<!-- 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. -->

# chatgpt-gpt4-prompts-bart-large-cnn-samsum

This model generates ChatGPT/BingChat & GPT-3 prompts and is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co/philschmid/bart-large-cnn-samsum) on an [this](https://huggingface.co/datasets/fka/awesome-chatgpt-prompts) dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.2214
- Validation Loss: 2.7584
- Epoch: 4

### Streamlit

This model supports a [Streamlit](https://streamlit.io/) Web UI to run the chatgpt-gpt4-prompts-bart-large-cnn-samsum model:
[![Open In HF Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f25463025394625413425393725323048756767696e67253230466163652d5370616365732d626c7565)](https://huggingface.co/spaces/Kaludi/ChatGPT-BingChat-GPT3-Prompt-Generator_App)

### 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 |
|:----------:|:---------------:|:-----:|
| 3.1982     | 2.6801          | 0     |
| 2.3601     | 2.5493          | 1     |
| 1.9225     | 2.5377          | 2     |
| 1.5465     | 2.6794          | 3     |
| 1.2214     | 2.7584          | 4     |


### Framework versions

- Transformers 4.27.3
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
{"license": "mit", "tags": ["generated_from_keras_callback"], "datasets": ["fka/awesome-chatgpt-prompts"], "model-index": [{"name": "chatgpt-gpt4-prompts-bart-large-cnn-samsum", "results": []}]}
transformers tf bart text2text-generation generated_from_keras_callback dataset:fka/awesome-chatgpt-prompts license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #tf #bart #text2text-generation #generated_from_keras_callback #dataset-fka/awesome-chatgpt-prompts #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 

chatgpt-gpt4-prompts-bart-large-cnn-samsum
==========================================


This model generates ChatGPT/BingChat & GPT-3 prompts and is a fine-tuned version of philschmid/bart-large-cnn-samsum on an this dataset.
It achieves the following results on the evaluation set:


* Train Loss: 1.2214
* Validation Loss: 2.7584
* Epoch: 4


### Streamlit


This model supports a Streamlit Web UI to run the chatgpt-gpt4-prompts-bart-large-cnn-samsum model:
![Open In HF Spaces](URL


### 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



### Framework versions


* Transformers 4.27.3
* TensorFlow 2.11.0
* Datasets 2.10.1
* Tokenizers 0.13.2



### Streamlit


This model supports a Streamlit Web UI to run the chatgpt-gpt4-prompts-bart-large-cnn-samsum model:
![Open In HF Spaces](URL ### 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 ### Framework versions


* Transformers 4.27.3
* TensorFlow 2.11.0
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #tf #bart #text2text-generation #generated_from_keras_callback #dataset-fka/awesome-chatgpt-prompts #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### Streamlit


This model supports a Streamlit Web UI to run the chatgpt-gpt4-prompts-bart-large-cnn-samsum model:
![Open In HF Spaces](URL ### 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 ### Framework versions


* Transformers 4.27.3
* TensorFlow 2.11.0
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #tf #bart #text2text-generation #generated_from_keras_callback #dataset-fka/awesome-chatgpt-prompts #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
### Streamlit


This model supports a Streamlit Web UI to run the chatgpt-gpt4-prompts-bart-large-cnn-samsum model:
![Open In HF Spaces](URL### 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### Framework versions


* Transformers 4.27.3
* TensorFlow 2.11.0
* Datasets 2.10.1
* Tokenizers 0.13.2