Update README.md

README.md

@@ -1,6 +1,10 @@
 ---
 library_name: peft
 base_model: HuggingFaceM4/idefics-9b
+datasets:
+- TheFusion21/PokemonCards
+language:
+- en
 ---
 
 # Model Card for Model ID
@@ -13,7 +17,7 @@ base_model: HuggingFaceM4/idefics-9b
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
+The model is a fine-tuned derivative of the large-scale [`HuggingFaceM4/idefics-9b`](https://huggingface.co/HuggingFaceM4/idefics-9b-instruct), leveraging the PEFT. It is specialized in tasks related to Pokémon card data, capable of various NLP tasks like text generation, classification, and analysis within the context of Pokémon trading cards.
 
 
 
@@ -22,7 +26,7 @@ base_model: HuggingFaceM4/idefics-9b
 - **Model type:** [More Information Needed]
 - **Language(s) (NLP):** [More Information Needed]
 - **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Finetuned from model [optional]:** [HuggingFaceM4/idefics-9b](https://huggingface.co/HuggingFaceM4/idefics-9b-instruct)
 
 ### Model Sources [optional]
 
@@ -34,36 +38,28 @@ base_model: HuggingFaceM4/idefics-9b
 
 ## Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
 ### Direct Use
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+The model is designed for direct use in applications involving Pokémon card data analysis, generation, and enrichment tasks.
 
-[More Information Needed]
+### Downstream Use 
 
-### Downstream Use [optional]
+Further fine-tuning on other niche domains could enable the model to perform specialized tasks in additional contexts beyond Pokémon cards.
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
 
 ### Out-of-Scope Use
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+The model may not perform well on general NLP tasks unrelated to Pokémon data or vastly different domains without further fine-tuning.
 
-[More Information Needed]
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+The model may inherit biases present in the Pokémon card dataset and may not generalize well to other contexts. Use in sensitive areas should be with caution.
 
-[More Information Needed]
 
 ### Recommendations
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
+Users should be aware of the model's specialized nature and its limitations when applied outside its intended domain.
 Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
 
 ## How to Get Started with the Model
@@ -76,14 +72,11 @@ Use the code below to get started with the model.
 
 ### Training Data
 
-<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
+The model was trained on the `TheFusion21/PokemonCards` dataset from HuggingFace. Initially, the dataset underwent a cleaning process to remove any invalid URLs that could disrupt the training pipeline. Subsequently, the data was preprocessed to align with the model's input requirements, ensuring efficient and error-free training.
 
 ### Training Procedure 
 
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
+The dataset was preprocessed to fit the model's input requirements, with special attention to tokenization and formatting.
 #### Preprocessing [optional]
 
 [More Information Needed]
@@ -216,4 +209,4 @@ The following `bitsandbytes` quantization config was used during training:
 ### Framework versions
 
 
-- PEFT 0.6.2.dev0
+- PEFT 0.6.2.dev0