l3-unc
/

qwen2.5-7b_edited_object_counting_v1

@@ -1,199 +1,56 @@
 ---
 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. -->
-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
-<!-- This section describes the evaluation protocols and provides the results. -->
-### 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]

 ---
 library_name: transformers
+license: mit
+datasets:
+- l3-unc/CausalDiagnosticity
+language:
+- en
+base_model:
+- Qwen/Qwen2.5-7B
 ---
 # Model Card for Model ID
+This model is derived from **[Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B)** and has been edited using **MEMIT** for the **`object_counting`** task from the [Causal Diagnosticity](https://huggingface.co/datasets/l3-unc/CausalDiagnosticity) dataset.
+# Versioning
+- **`_v1`** → The model is edited such that new knowledge is based on **`target_1`** from the `related_edits` field of each dataset item.
+- **`_v2`** → The model is edited such that new knowledge is based on **`target_2`** from the `related_edits` field of each dataset item.
+---
+# MEMIT Hyperparameters
+```yaml
+alg_name: "MEMIT"
+layers: [4, 5, 6, 7, 8]
+clamp_norm_factor: 4
+layer_selection: "all"
+fact_token: "subject_last"
+v_num_grad_steps: 25
+v_lr: 5e-1
+v_loss_layer: 27
+v_weight_decay: 1e-3
+kl_factor: 0.0625
+mom2_adjustment: true
+mom2_update_weight: 15000
+rewrite_module_tmp: "model.layers.{}.mlp.down_proj"
+layer_module_tmp: "model.layers.{}"
+mlp_module_tmp: "model.layers.{}.mlp"
+attn_module_tmp: "model.layers.{}.self_attn"
+ln_f_module: "model.norm"
+lm_head_module: "lm_head"
+mom2_dataset: "wikipedia"
+mom2_n_samples: 100000
+mom2_dtype: "float32"
+model_parallel: False
+```
+## Additional Resources
+For more information about the dataset, editing details, and the associated paper, see:
+- 📄 [Paper](https://arxiv.org/abs/2502.18848)
+- 📊 [Dataset](https://huggingface.co/datasets/l3-unc/CausalDiagnosticity)
+- 💻 [Code](https://github.com/KeremZaman/CausalDiagnosticity)