AgriFair GRAFT adapters: 131 adapters

README.md

@@ -29,7 +29,7 @@ census records a real difference, using Integrated Gradients. It places LoRA ada
 layers alone with rank proportional to attribution, and trains them with a condition-adaptive,
 rationale-aware objective.
 
-This repository holds **130 adapters** so that every number in the paper can be
+This repository holds **131 adapters** so that every number in the paper can be
 recomputed rather than taken on trust.
 
 ## Layout
@@ -43,7 +43,7 @@ manifest.json                 base model, revision, rank range and trainable sha
 |---|---|---|
 | `broad-instruct` | Qwen/Qwen3-4B-Instruct-2507 | 33 |
 | `general-instruct` | google/gemma-3-12b-it | 33 |
-| `general-instruct-2` | mistralai/Ministral-8B-Instruct-2410 | 31 |
+| `general-instruct-2` | mistralai/Ministral-8B-Instruct-2410 | 32 |
 | `small-instruct` | meta-llama/Llama-3.2-3B-Instruct | 33 |
 
 Methods present: `ablation_no_condition_adaptive`, `ablation_no_rationale_loss`, `ablation_placement_random`, `ablation_placement_random_draw2`, `ablation_placement_random_draw3`, `ablation_placement_uniform`, `ablation_rank_sweep_16`, `ablation_rank_sweep_32`, `ablation_rank_sweep_8`, `baseline_dart`, `baseline_fairnet`, `baseline_igu_lora`, `baseline_lftf`, `baseline_pedal`, `baseline_regift`, `graft_proposed`, `graft_proposed_loao_gender`, `graft_proposed_loao_landholding`, `graft_proposed_loao_social_group`, `graft_proposed_qlora_nf4`, `reference_vanilla_lora`, `reference_vanilla_lora_loao_gender`, `reference_vanilla_lora_loao_landholding`, `reference_vanilla_lora_loao_social_group`, `reference_vanilla_qlora`

general-instruct-2/reference_vanilla_qlora/seed_42/README.md

@@ -0,0 +1,207 @@
+---
+base_model: /workspace/Finetune_AgriFair/models/mistralai__Ministral-8B-Instruct-2410
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:/workspace/Finetune_AgriFair/models/mistralai__Ministral-8B-Instruct-2410
+- lora
+- transformers
+---
+
+# 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. -->
+
+
+
+- **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]
+### Framework versions
+
+- PEFT 0.20.0

general-instruct-2/reference_vanilla_qlora/seed_42/adapter_config.json

@@ -0,0 +1,50 @@
+{
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+  "alpha_pattern": {},
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+  "auto_mapping": null,
+  "base_model_name_or_path": "/workspace/Finetune_AgriFair/models/mistralai__Ministral-8B-Instruct-2410",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.20.0",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "gate_proj",
+    "v_proj",
+    "up_proj",
+    "k_proj",
+    "q_proj",
+    "down_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

general-instruct-2/reference_vanilla_qlora/seed_42/adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:93be9eca0bd8526f5c30e80833de5f87b6224770168d90de5ffbbd10eb3a0263
+size 87360584

manifest.json

@@ -118,7 +118,7 @@
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@@ -130,7 +130,7 @@
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@@ -142,7 +142,7 @@
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@@ -154,7 +154,7 @@
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@@ -166,7 +166,7 @@
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@@ -178,7 +178,7 @@
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@@ -190,7 +190,7 @@
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@@ -202,7 +202,7 @@
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@@ -214,7 +214,7 @@
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@@ -226,7 +226,7 @@
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@@ -330,7 +330,7 @@
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@@ -350,7 +350,7 @@
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@@ -370,7 +370,7 @@
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@@ -450,7 +450,7 @@
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@@ -654,7 +654,7 @@
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@@ -666,7 +666,7 @@
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@@ -678,7 +678,7 @@
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@@ -782,7 +782,7 @@
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@@ -802,7 +802,7 @@
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@@ -822,7 +822,7 @@
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@@ -902,7 +902,7 @@
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@@ -1022,7 +1022,7 @@
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@@ -1034,7 +1034,7 @@
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@@ -1046,7 +1046,7 @@
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@@ -1058,7 +1058,7 @@
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@@ -1070,7 +1070,7 @@
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@@ -1082,7 +1082,7 @@
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@@ -1094,7 +1094,7 @@
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@@ -1106,7 +1106,7 @@
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@@ -1118,7 +1118,7 @@
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@@ -1222,7 +1222,7 @@
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@@ -1242,7 +1242,7 @@
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@@ -1262,7 +1262,7 @@
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@@ -1324,6 +1324,26 @@
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+      "base_model_revision": "2f494a194c5b980dfb9772cb92d26cbb671fce5a",
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@@ -1442,7 +1462,7 @@
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@@ -1454,7 +1474,7 @@
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@@ -1466,7 +1486,7 @@
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@@ -1478,7 +1498,7 @@
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@@ -1490,7 +1510,7 @@
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@@ -1502,7 +1522,7 @@
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@@ -1514,7 +1534,7 @@
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@@ -1526,7 +1546,7 @@
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@@ -1538,7 +1558,7 @@
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@@ -1550,7 +1570,7 @@
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@@ -1654,7 +1674,7 @@
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@@ -1674,7 +1694,7 @@
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@@ -1694,7 +1714,7 @@
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@@ -1774,8 +1794,8 @@
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+  "count": 131
 }