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README.md

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+# Model Card for V2 Models
+
+## Model Description
+This repository contains multiple models trained using the GPT-2 architecture for generating creative stories, superhero names, and abilities. The models are designed to assist in generating narrative content based on user prompts.
+
+## Model Variants
+- **Story Model**: Generates stories based on prompts.
+- **Name Model**: Generates superhero names based on story context.
+- **Abilities Model**: Generates superhero abilities based on story context.
+- **Midjourney Model**: Generates mid-journey prompts for storytelling.
+
+## Training Data
+The models were trained on a custom dataset stored in `batch_ds_v2.txt`, which includes various story prompts, superhero names, and abilities. The dataset was preprocessed to extract relevant parts for training.
+
+## Training Procedure
+- **Framework**: PyTorch with Hugging Face Transformers
+- **Model**: GPT-2
+- **Training Arguments**:
+  - Learning Rate: 1e-4
+  - Number of Epochs: 15
+  - Max Steps: 5000
+  - Batch Size: Auto-detected
+  - Gradient Clipping: 1.0
+  - Logging Steps: 1
+
+## Evaluation
+The models were evaluated based on their ability to generate coherent and contextually relevant text. Specific metrics were not provided, but qualitative assessments were made during development.
+
+## Inference
+To use the models for inference, you can send a POST request to the `/generate/<model_path>` endpoint of the Flask application. The input should be a JSON object containing the `input_text` key.
+
+### Example Request
+```
+json
+{
+"input_text": "[Ivan Ivanov, Lead Software Engineer, Superhero for Justice, Writing code, fixing issues, solving problems, Masculine, Long Hair, Adult]<endoftext>"
+}
+```
+
+### Example Response
+The response will contain the generated text based on the input prompt.
+
+## Limitations
+- The models may generate biased or nonsensical outputs based on the training data.
+- They may not always understand complex prompts or context, leading to irrelevant or inaccurate responses.
+- The models are sensitive to input phrasing; slight changes in the prompt can yield different results.
+
+## License
+This model is released under the MIT License. Please refer to the LICENSE file for more details.
+
+## Citation
+If you use this model in your research or applications, please cite it as follows: