264 lines
6.9 KiB
Markdown
264 lines
6.9 KiB
Markdown
---
|
||
library_name: transformers
|
||
tags: []
|
||
---
|
||
|
||
# Model Card for Model ID
|
||
|
||
<!-- Provide a quick summary of what the model is/does. -->
|
||
|
||
|
||
<!--
|
||
## Model Details
|
||
-->
|
||
### Model Description
|
||
|
||
<!-- Provide a longer summary of what this model is. -->
|
||
CLASS-IT is a 140M parameter language model based on the LLaMA architecture.
|
||
|
||
The model is first pre-trained for 8 epochs on a cleaned version of the BabyLM Challenge strict track dataset.
|
||
After pre-training, the model is instruction-tuned on two additional datasets (8.7M words total) for 10 epochs :
|
||
|
||
- a conversational dataset derived from Switchboard, and
|
||
|
||
- 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.
|
||
|
||
- **Developed by:** [More Information Needed]
|
||
- **Funded by [optional]:** [More Information Needed]
|
||
- **Shared by [optional]:** [More Information Needed]
|
||
- **Model type:** [More Information Needed]
|
||
- **Language(s) (NLP):** [More Information Needed]
|
||
- **License:** [More Information Needed]
|
||
- **Finetuned from model [optional]:** [More Information Needed]
|
||
|
||
### Model Sources [optional]
|
||
|
||
-->
|
||
|
||
<!-- Provide the basic links for the model. -->
|
||
<!--
|
||
- **Repository:** [More Information Needed]
|
||
- **Paper [optional]:** [More Information Needed]
|
||
- **Demo [optional]:** [More Information Needed]
|
||
|
||
## 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. -->
|
||
|
||
<!--
|
||
[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 -->
|
||
|
||
<!--
|
||
[More Information Needed]
|
||
|
||
### Out-of-Scope Use
|
||
|
||
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
||
|
||
<!--
|
||
[More Information Needed]
|
||
|
||
## Bias, Risks, and Limitations
|
||
|
||
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
||
|
||
<!--
|
||
[More Information Needed]
|
||
|
||
### Recommendations
|
||
|
||
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations.
|
||
|
||
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
|
||
|
||
Use the code below to get started with the model.
|
||
|
||
[More Information Needed]
|
||
|
||
## Training Details
|
||
|
||
### Training Data
|
||
|
||
<!-- 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. -->
|
||
|
||
<!--
|
||
[More Information Needed]
|
||
|
||
### Training Procedure
|
||
|
||
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
||
|
||
<!--
|
||
#### Preprocessing [optional]
|
||
|
||
[More Information Needed]
|
||
|
||
|
||
<!--
|
||
#### 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 -->
|
||
|
||
<!--
|
||
#### Speeds, Sizes, Times [optional]
|
||
|
||
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
||
<!--
|
||
[More Information Needed]
|
||
-->
|
||
|
||
## Evaluation
|
||
|
||
The model has been submitted to the 2025 BabyLM Challenge – Interaction Track:
|
||
https://huggingface.co/spaces/BabyLM-community/babylm-leaderboard-2025-all-tasks
|
||
|
||
## Citation
|
||
|
||
This model was introduced in the paper:
|
||
**“CLASS-IT: Conversational and Lecture-Aligned Small-Scale Instruction Tuning for BabyLMs”**
|
||
*(Capone, Bondielli & Lenci, BabyLM Challange 2025)*
|
||
📄 [ArXiv: 2510.25364](https://arxiv.org/abs/2510.25364)
|
||
|
||
**Cite as (BibTeX)**:
|
||
```
|
||
@inproceedings{capone-etal-2025-class,
|
||
title = "{CLASS}-{IT}: Conversational and Lecture-Aligned Small-Scale Instruction Tuning for {B}aby{LM}s",
|
||
author = "Capone, Luca and
|
||
Bondielli, Alessandro and
|
||
Lenci, Alessandro",
|
||
editor = "Charpentier, Lucas and
|
||
Choshen, Leshem and
|
||
Cotterell, Ryan and
|
||
Gul, Mustafa Omer and
|
||
Hu, Michael Y. and
|
||
Liu, Jing and
|
||
Jumelet, Jaap and
|
||
Linzen, Tal and
|
||
Mueller, Aaron and
|
||
Ross, Candace and
|
||
Shah, Raj Sanjay and
|
||
Warstadt, Alex and
|
||
Wilcox, Ethan Gotlieb and
|
||
Williams, Adina",
|
||
booktitle = "Proceedings of the First BabyLM Workshop",
|
||
month = nov,
|
||
year = "2025",
|
||
address = "Suzhou, China",
|
||
publisher = "Association for Computational Linguistics",
|
||
url = "https://aclanthology.org/2025.babylm-main.30/",
|
||
pages = "436--444",
|
||
ISBN = "TODO"
|
||
}
|
||
```
|
||
|
||
<!--
|
||
### Testing Data, Factors & Metrics
|
||
|
||
#### Testing Data
|
||
|
||
<!-- This should link to a Dataset Card if possible. -->
|
||
<!--
|
||
[More Information Needed]
|
||
|
||
#### Factors
|
||
|
||
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||
<!--
|
||
[More Information Needed]
|
||
|
||
#### Metrics
|
||
|
||
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||
<!--
|
||
[More Information Needed]
|
||
|
||
### Results
|
||
|
||
[More Information Needed]
|
||
|
||
#### Summary
|
||
|
||
|
||
|
||
## Model Examination [optional]
|
||
|
||
<!-- Relevant interpretability work for the model goes here -->
|
||
<!--
|
||
[More Information Needed]
|
||
|
||
## Environmental Impact
|
||
|
||
<!-- 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).
|
||
-->
|
||
<!--
|
||
- **Hardware Type:** [More Information Needed]
|
||
- **Hours used:** [More Information Needed]
|
||
- **Cloud Provider:** [More Information Needed]
|
||
- **Compute Region:** [More Information Needed]
|
||
- **Carbon Emitted:** [More Information Needed]
|
||
|
||
## Technical Specifications [optional]
|
||
|
||
### Model Architecture and Objective
|
||
|
||
[More Information Needed]
|
||
|
||
### Compute Infrastructure
|
||
|
||
[More Information Needed]
|
||
|
||
#### Hardware
|
||
|
||
[More Information Needed]
|
||
|
||
#### Software
|
||
|
||
[More Information Needed]
|
||
|
||
## 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. -->
|
||
<!--
|
||
**BibTeX:**
|
||
|
||
[More Information Needed]
|
||
|
||
**APA:**
|
||
|
||
[More Information Needed]
|
||
|
||
## Glossary [optional]
|
||
|
||
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||
<!--
|
||
[More Information Needed]
|
||
|
||
## More Information [optional]
|
||
|
||
[More Information Needed]
|
||
|
||
## Model Card Authors [optional]
|
||
|
||
[More Information Needed]
|
||
|
||
## Model Card Contact
|
||
|
||
[More Information Needed]--> |