Upload folder using huggingface_hub

README.md

@@ -1,67 +1,207 @@
 ---
-license: apache-2.0
+base_model: LiquidAI/LFM2.5-350M
+library_name: peft
 pipeline_tag: text-generation
 tags:
-  - lfm2
-  - data-use
-  - provenance
-  - usage
-  - impact
-  - sft
-  - lora
+- base_model:adapter:LiquidAI/LFM2.5-350M
+- lora
+- transformers
 ---
 
-# lfm2.5-350M-multitask-datause
+# Model Card for Model ID
 
-LoRA SFT of `LiquidAI/LFM2.5-350M` for data-mention provenance attributes
-(producer / year / geography / acronym) and usage/impact classification
-(data_type / usage_action / impact_label / usage_summary).
+<!-- Provide a quick summary of what the model is/does. -->
 
-## Training
-- base model: `LiquidAI/LFM2.5-350M`
-- dataset: `rafmacalaba/data-use-sft`
-- epochs: 3
-- learning rate: 0.0002
-- LoRA: r=16 alpha=32 dropout=0.05
-- completion-only masking (loss on assistant JSON turn)
 
-## real holdout
 
-Holdout n=9540. Exact string match of each emitted attribute against the gold label.
+## Model Details
 
-| attribute | tp | fp | fn | precision | recall | f0.5 | f1 |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| producer | 1474 | 568 | 752 | 0.7218 | 0.6622 | 0.7091 | 0.6907 |
-| year | 1737 | 370 | 488 | 0.8244 | 0.7807 | 0.8153 | 0.8019 |
-| geography | 2159 | 751 | 652 | 0.7419 | 0.7681 | 0.7470 | 0.7548 |
-| acronym | 1586 | 358 | 291 | 0.8158 | 0.8450 | 0.8215 | 0.8301 |
-| **overall** | 6956 | 2047 | 2183 | 0.7726 | 0.7611 | 0.7703 | 0.7668 |
+### Model Description
 
-Usage/impact macro-F1 (per head):
-- data_type: 0.6985
-- usage_action: 0.6339
-- impact_label: 0.5977
-- usage_summary: mean_sim=0.5934 grounded_rate=0.7552
+<!-- Provide a longer summary of what this model is. -->
 
-Verbatim rate (emitted values that are substrings of the context): 8964/9003 = 0.9957
 
-## synthetic holdout
 
-Holdout n=2305. Exact string match of each emitted attribute against the gold label.
+- **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]
 
-| attribute | tp | fp | fn | precision | recall | f0.5 | f1 |
-| --- | --- | --- | --- | --- | --- | --- | --- |
-| producer | 252 | 23 | 35 | 0.9164 | 0.8780 | 0.9084 | 0.8968 |
-| year | 259 | 30 | 46 | 0.8962 | 0.8492 | 0.8864 | 0.8721 |
-| geography | 355 | 62 | 42 | 0.8513 | 0.8942 | 0.8596 | 0.8722 |
-| acronym | 139 | 40 | 42 | 0.7765 | 0.7680 | 0.7748 | 0.7722 |
-| **overall** | 1005 | 155 | 165 | 0.8664 | 0.8590 | 0.8649 | 0.8627 |
+### Model Sources [optional]
 
-Usage/impact macro-F1 (per head):
-- data_type: 0.7857
-- usage_action: 0.6625
-- impact_label: 0.5738
-- usage_summary: mean_sim=0.5708 grounded_rate=0.6823
+<!-- Provide the basic links for the model. -->
 
-Verbatim rate (emitted values that are substrings of the context): 1156/1160 = 0.9966
+- **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

adapter_config.json

@@ -31,14 +31,14 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "in_proj",
+    "out_proj",
     "w1",
+    "w2",
+    "in_proj",
     "k_proj",
+    "v_proj",
     "q_proj",
-    "w3",
-    "w2",
-    "out_proj"
+    "w3"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f50f51c0b36871436f9e5d20b6436ed7d8af11557798c291b8a856d76c581e70
+oid sha256:f5c282e0142de13dbdcac4492aa2b580a23ce1daed5b5709155b1bd15df0589e
 size 24010560