Update README.md

README.md

@@ -24,7 +24,7 @@ After pre-training, the model is instruction-tuned on two additional datasets (8
 - an educational dataset based on an augmented version of Simple English Wikipedia (to be released soon).
 
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+<!-- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
 - **Developed by:** [More Information Needed]
 - **Funded by [optional]:** [More Information Needed]
@@ -36,8 +36,10 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 
 ### Model Sources [optional]
 
-<!-- Provide the basic links for the model. -->
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+<!-- Provide the basic links for the model. -->
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 - **Paper [optional]:** [More Information Needed]
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@@ -46,28 +48,33 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
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 ### Direct Use
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
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 [More Information Needed]
 
 ### Downstream Use [optional]
 
 <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
 
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 ### Out-of-Scope Use
 
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
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 ## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
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 ### Recommendations
@@ -76,6 +83,7 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 
 Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
 
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 ## How to Get Started with the Model
 
 Use the code below to get started with the model.
@@ -88,50 +96,57 @@ Use the code below to get started with the model.
 
 <!-- This should link to a Dataset 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. -->
 
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 ### Training Procedure
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 
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 #### Preprocessing [optional]
 
 [More Information Needed]
 
 
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 #### Training Hyperparameters
 
 - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
 
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 #### Speeds, Sizes, Times [optional]
 
 <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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 ## Evaluation
 
 The model has been submitted to the 2025 BabyLM Challenge – Interaction Track:
 https://huggingface.co/spaces/BabyLM-community/babylm-leaderboard-2025-all-tasks
 
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 ### Testing Data, Factors & Metrics
 
 #### Testing Data
 
 <!-- This should link to a Dataset Card if possible. -->
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 #### Factors
 
 <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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 #### Metrics
 
 <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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 ### Results
@@ -145,7 +160,7 @@ https://huggingface.co/spaces/BabyLM-community/babylm-leaderboard-2025-all-tasks
 ## Model Examination [optional]
 
 <!-- Relevant interpretability work for the model goes here -->
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 ## Environmental Impact
@@ -153,7 +168,7 @@ https://huggingface.co/spaces/BabyLM-community/babylm-leaderboard-2025-all-tasks
 <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
 
 Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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@@ -181,7 +196,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 ## Citation [optional]
 
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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 **BibTeX:**
 
 [More Information Needed]
@@ -193,7 +208,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 ## Glossary [optional]
 
 <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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 ## More Information [optional]
@@ -206,4 +221,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 ## Model Card Contact
 
-[More Information Needed]
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