Upload folder using huggingface_hub

.gitattributes

@@ -991,3 +991,163 @@ open-ed/A401_results/qwen3/sft_4B_cl_v2_1/3/81/tokenizer.json filter=lfs diff=lf
 open-ed/A401_results/qwen3/sft_4B_cl_v2_1/4/25/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 open-ed/A401_results/qwen3/sft_4B_cl_v2_1/4/50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 open-ed/A401_results/qwen3/sft_4B_cl_v2_1/4/75/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/0/17/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/0/34/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/0/51/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/1/26/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/1/52/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/1/78/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/2/126/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/2/42/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/2/84/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/3/27/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/3/54/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/3/81/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/4/25/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/4/50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_0_0.6B_cl/4/75/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/0/17/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/0/34/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/0/51/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/1/22/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/1/44/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/1/66/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/2/120/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/2/40/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/2/80/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/3/29/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/3/58/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/3/87/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/4/25/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/4/50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_1_0.6B_cl/4/75/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/0/17/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/0/34/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/0/51/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/1/23/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/1/46/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/1/69/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/2/28/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/2/56/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/2/84/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/3/24/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/3/48/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/3/72/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/4/135/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/4/45/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_2_0.6B_cl/4/90/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/0/23/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/0/46/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/0/69/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/1/114/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/1/38/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/1/76/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/2/21/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/2/42/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/2/63/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/3/27/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/3/54/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/3/81/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/4/25/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/4/50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_3_0.6B_cl/4/75/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/0/19/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/0/38/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/0/57/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/1/18/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/1/36/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/1/54/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/2/21/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/2/42/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/2/63/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/3/30/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/3/60/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/3/90/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/4/135/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/4/45/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/ace_4_0.6B_cl/4/90/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/0/22/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/0/44/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/0/66/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/1/28/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/1/56/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/1/84/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/2/102/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/2/34/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/2/68/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/3/120/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/3/40/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/3/80/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/4/141/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/4/47/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_0_0.6B_cl/4/94/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/0/20/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/0/40/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/0/60/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/1/25/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/1/50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/1/75/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/2/33/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/2/66/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/2/99/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/3/123/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/3/41/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/3/82/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/4/141/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/4/47/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_1_0.6B_cl/4/94/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/0/22/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/0/44/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/0/66/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/1/27/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/1/54/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/1/81/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/2/105/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/2/35/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/2/70/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/3/117/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/3/39/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/3/78/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/4/138/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/4/46/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_2_0.6B_cl/4/92/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/0/22/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/0/44/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/0/66/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/1/28/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/1/56/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/1/84/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/2/108/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/2/36/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/2/72/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/3/120/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/3/40/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/3/80/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/4/141/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/4/47/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_3_0.6B_cl/4/94/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/0/20/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/0/40/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/0/60/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/1/27/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/1/54/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/1/81/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/2/102/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/2/34/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/2/68/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/3/120/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/3/40/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/3/80/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/4/138/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/4/46/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/geneva_4_0.6B_cl/4/92/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/maven_0_0.6B_cl/0/324/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/maven_0_0.6B_cl/0/648/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/maven_0_0.6B_cl/0/972/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/maven_0_0.6B_cl/1/1038/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/maven_0_0.6B_cl/1/346/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/maven_0_0.6B_cl/1/692/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/maven_0_0.6B_cl/2/1080/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/maven_0_0.6B_cl/2/360/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/maven_0_0.6B_cl/2/720/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+span_v3/maven_0_0.6B_cl/3/334/tokenizer.json filter=lfs diff=lfs merge=lfs -text

span_v3/ace_0_0.6B_cl/0/17/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-0.6B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-0.6B
+- 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 0.18.1

span_v3/ace_0_0.6B_cl/0/17/adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-0.6B",
+  "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": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "gate_proj",
+    "up_proj",
+    "o_proj",
+    "down_proj",
+    "v_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

span_v3/ace_0_0.6B_cl/0/17/adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:521034c05e4ce63db28afcd02697f23aa7ae517bf30c80ae79af38f27d12265c
+size 80802963

span_v3/ace_0_0.6B_cl/0/17/added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

span_v3/ace_0_0.6B_cl/0/17/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

span_v3/ace_0_0.6B_cl/0/17/special_tokens_map.json

@@ -0,0 +1,19 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": "<|im_end|>",
+  "pad_token": "<|im_end|>"
+}

span_v3/ace_0_0.6B_cl/0/17/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d21f8fb0ec91ff3cb1156d458eb9363ebe8cf7a737ce8cb7f9d01dd5425c9870
+size 11422929

span_v3/ace_0_0.6B_cl/0/17/tokenizer_config.json

@@ -0,0 +1,240 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

span_v3/ace_0_0.6B_cl/0/34/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-0.6B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-0.6B
+- 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 0.18.1

span_v3/ace_0_0.6B_cl/0/34/adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-0.6B",
+  "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": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "gate_proj",
+    "up_proj",
+    "o_proj",
+    "down_proj",
+    "v_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

span_v3/ace_0_0.6B_cl/0/34/adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7f9a03f334b6c19a21b79a6098f9c5ede449d835ad86555790956cba068eba2
+size 80802963

span_v3/ace_0_0.6B_cl/0/34/added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

span_v3/ace_0_0.6B_cl/0/34/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

span_v3/ace_0_0.6B_cl/0/34/special_tokens_map.json

@@ -0,0 +1,19 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": "<|im_end|>",
+  "pad_token": "<|im_end|>"
+}

span_v3/ace_0_0.6B_cl/0/34/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d21f8fb0ec91ff3cb1156d458eb9363ebe8cf7a737ce8cb7f9d01dd5425c9870
+size 11422929

span_v3/ace_0_0.6B_cl/0/34/tokenizer_config.json

@@ -0,0 +1,240 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

span_v3/ace_0_0.6B_cl/0/51/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-0.6B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-0.6B
+- 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 0.18.1

span_v3/ace_0_0.6B_cl/0/51/adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-0.6B",
+  "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": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "gate_proj",
+    "up_proj",
+    "o_proj",
+    "down_proj",
+    "v_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

span_v3/ace_0_0.6B_cl/0/51/adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e48c2acea925c6fa3808a0055dd0e5be6c86c39ac5e0a3963622efc259195c3c
+size 80802963

span_v3/ace_0_0.6B_cl/0/51/added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

span_v3/ace_0_0.6B_cl/0/51/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

span_v3/ace_0_0.6B_cl/0/51/special_tokens_map.json

@@ -0,0 +1,19 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": "<|im_end|>",
+  "pad_token": "<|im_end|>"
+}

span_v3/ace_0_0.6B_cl/0/51/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d21f8fb0ec91ff3cb1156d458eb9363ebe8cf7a737ce8cb7f9d01dd5425c9870
+size 11422929

span_v3/ace_0_0.6B_cl/0/51/tokenizer_config.json

@@ -0,0 +1,240 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

span_v3/ace_0_0.6B_cl/0/args.json

@@ -0,0 +1 @@
+{"model_path": "Qwen/Qwen3-0.6B", "ckpt_name": "qwen3-0.6B", "model_type": "qwen", "teacher_model_type": null, "n_gpu": 2, "n_nodes": 1, "teacher_model_path": null, "teacher_ckpt_name": null, "teacher_model_fp16": false, "model_parallel": false, "model_parallel_size": null, "no_value": false, "dropout_path_rate": null, "fp32": false, "bf16": false, "type": "fkl", "do_train": true, "do_valid": true, "do_eval": true, "base_path": ".", "load": null, "save": "./results/qwen3/span_v3/ace_0_0.6B_cl/0", "log_interval": 10, "mid_log_num": -1, "save_interval": -1, "eval_interval": -1, "local_rank": 0, "save_additional_suffix": "", "save_rollout": false, "eb_sample_times": 3, "data_dir": "./processed_data/ace_v3_0/0/qwen/", "processed_data_dir": null, "force_process": false, "force_process_demo": false, "data_process_workers": -1, "train_num": -1, "train_ratio": 1, "dev_num": -1, "dev_ratio": 1, "gen_num": -1, "data_names": null, "prompt_type": null, "num_workers": 0, "max_prompt_length": 512, "t_max_prompt_length": 768, "min_prompt_length": 128, "json_data": false, "bin_data": false, "txt_data": false, "prompt_data_dir": null, "lm_data_dir": null, "eval_ppl": false, "eval_rw": false, "eval_gen": true, "only_prompt": false, "batch_size": 4, "eval_batch_size": 32, "clip_grad": 1.0, "total_iters": null, "train_iters_per_epoch": -1, "max_length": 640, "t_max_length": 768, "seed": 42, "seed_order": 42, "seed_data": 42, "seed_ppo": 42, "seed_lm": 7, "epochs": 3, "training_epochs": 10000, "gradient_accumulation_steps": 4, "gradient_checkpointing": false, "attn_dtype": null, "lr": 0.0001, "lr_min": 1e-07, "weight_decay": 0.01, "loss_scale": 65536, "kd_ratio": 0.3, "cl_task_id": 0, "cl_distill_coef": 0.5, "warmup_iters": 0, "warmup_ratio": 0.1, "lr_decay_iters": null, "lr_decay_style": "wrmup_cosine", "scheduler_name": "constant_trm", "w_span_loss": 1.0, "reward_scaling": null, "cliprange_reward": 1, "ppo_epochs": null, "num_rollouts": 256, "num_rollouts_per_device": null, "cliprange": 0.2, "chunk_size": null, "gamma": 0.95, "length_norm": false, "single_step_reg": false, "teacher_mixed_alpha": null, "lm_coef": 1, "skew_alpha": 0.1, "student_gen": false, "gen_top_p": 1.0, "gen_num_beams": 2, "mixed_alpha": 0.5, "loss_eps": 0.1, "init_threshold": 0.0, "student_layer_mapping": [22, 25, 28], "teacher_layer_mapping": [22, 25, 28], "split_layer_mapping": [0, 0, 0, 0], "use_dsa": false, "use_hs": false, "top_k": 0, "top_p": 0.95, "do_sample": true, "no_repeat_ngram_size": 6, "repetition_penalty": null, "num_beams": 1, "temperature": 0.5, "peft": "lora", "peft_lora_r": 64, "peft_lora_alpha": 128, "peft_lora_dropout": 0.1, "peft_name": null, "peft_path": null, "teacher_peft_name": null, "teacher_peft_path": null, "deepspeed": true, "deepspeed_config": "./configs/deepspeed/ds_config_bf16.json", "deepscale": false, "deepscale_config": null, "rank": 0, "world_size": 2}

span_v3/ace_0_0.6B_cl/0/eval/0/answers.jsonl

@@ -0,0 +1,98 @@
+{"text": "{\"events\": [[\"named\", \"Personnel:Nominate\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"formed\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"forum\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"Negotiations\", \"Contact:Meet\"], [\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meet\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"conviction\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"trials\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"brief\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"conviction\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"guilty\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"convicted\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"discussions\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"founded\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"create\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"forging\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"launching\", \"Business:Start-Org\"], [\"opening\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"build\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"create\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"founded\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"election\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"Founded\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"creating\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"hearing\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"conviction\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"convicted\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"launched\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"debut\", \"Business:Start-Org\"], [\"open\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"discussed\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"meet\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"discussions\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"], [\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"inviting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"visited\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"], [\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"birth\", \"Life:Be-Born\"]]}"}
+{"text": "{\"events\": [[\"born\", \"Life:Be-Born\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"born\", \"Life:Be-Born\"]]}"}
+{"text": "{\"events\": [[\"create\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"war\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"trial\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"tried\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"trial\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"named\", \"Personnel:Nominate\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"won\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"launch\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"creating\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"breakdowns\", \"Life:Be-Born\"]]}"}

span_v3/ace_0_0.6B_cl/0/eval/1/answers.jsonl

@@ -0,0 +1,98 @@
+{"text": "{\"events\": [[\"named\", \"Personnel:Nominate\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"formed\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"forum\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"Negotiations\", \"Contact:Meet\"], [\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meet\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"conviction\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"trials\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"brief\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"conviction\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"guilty\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"convicted\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"discussions\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"founded\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"create\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"forging\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"launching\", \"Business:Start-Org\"], [\"opening\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"build\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"create\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"founded\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"election\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"Founded\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"creating\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"hearing\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"conviction\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"convicted\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"launched\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"debut\", \"Business:Start-Org\"], [\"open\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"discussed\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"meet\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"discussions\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"], [\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"inviting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"visited\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"], [\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"birth\", \"Life:Be-Born\"]]}"}
+{"text": "{\"events\": [[\"born\", \"Life:Be-Born\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"born\", \"Life:Be-Born\"]]}"}
+{"text": "{\"events\": [[\"create\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"war\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"trial\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"tried\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"trial\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"named\", \"Personnel:Nominate\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"won\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"launch\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"creating\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"breakdowns\", \"Life:Divorce\"]]}"}

span_v3/ace_0_0.6B_cl/0/eval/2/answers.jsonl

@@ -0,0 +1,98 @@
+{"text": "{\"events\": [[\"named\", \"Personnel:Nominate\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"formed\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"forum\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"Negotiations\", \"Contact:Meet\"], [\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meet\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"conviction\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"trials\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"brief\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"conviction\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"guilty\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"convicted\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"discussions\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"founded\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"create\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"forging\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"launching\", \"Business:Start-Org\"], [\"opening\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"build\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"create\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"founded\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"election\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"Founded\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"creating\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"hearing\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"conviction\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"convicted\", \"Justice:Convict\"]]}"}
+{"text": "{\"events\": [[\"launched\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"debut\", \"Business:Start-Org\"], [\"open\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"discussed\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"elections\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"meet\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"discussions\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"], [\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"inviting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"visited\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"], [\"summit\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"birth\", \"Life:Be-Born\"]]}"}
+{"text": "{\"events\": [[\"born\", \"Life:Be-Born\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"born\", \"Life:Be-Born\"]]}"}
+{"text": "{\"events\": [[\"create\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"war\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"trial\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"tried\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"trial\", \"Justice:Trial-Hearing\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"named\", \"Personnel:Nominate\"]]}"}
+{"text": "{\"events\": [[\"elected\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"won\", \"Personnel:Elect\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"met\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"talks\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"launch\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"creating\", \"Business:Start-Org\"]]}"}
+{"text": "{\"events\": [[\"meeting\", \"Contact:Meet\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"divorce\", \"Life:Divorce\"]]}"}
+{"text": "{\"events\": [[\"breakdowns\", \"Life:Divorce\"]]}"}

span_v3/ace_0_0.6B_cl/0/log.txt

@@ -0,0 +1,16 @@
+
+
+============================== EXP at 2026-03-16 04:12:33 ==============================
+dev | avg_loss: 2.84375 | {'exact_match': 0.0, 'rougeL': 50.3004, 'trigger_counts': {'tp': 0, 'fp': 29, 'fn': 40}, 'argument_counts': {'tp': 0, 'fp': 0, 'fn': 0}, 'trigger_text': {'precision': 0.6538461538461539, 'recall': 0.425, 'f1': 0.5151515151515152}, 'trigger': {'precision': 0.0, 'recall': 0.0, 'f1': 0}, 'argument': {'precision': 0, 'recall': 0, 'f1': 0}, 'trigger_per_type': {'contact:meet': {'counts': {'tp': 0, 'fp': 0, 'fn': 29}, 'precision': 0, 'recall': 0.0, 'f1': 0}, 'personnel:elect': {'counts': {'tp': 0, 'fp': 0, 'fn': 4}, 'precision': 0, 'recall': 0.0, 'f1': 0}, 'justice:convict': {'counts': {'tp': 0, 'fp': 0, 'fn': 6}, 'precision': 0, 'recall': 0.0, 'f1': 0}, 'justice:trial-hearing': {'counts': {'tp': 0, 'fp': 0, 'fn': 1}, 'precision': 0, 'recall': 0.0, 'f1': 0}}}
+train | epoch   0 | Iter:     36/   204 | global iter:     10/    51 | loss: 1.3859 | ds_loss: 0.0000 | lr: 9.8229e-05 | scale:     1.0000 | micro time: 0.424 | step time: 1.497
+dev | avg_loss: 0.00982666015625 | {'exact_match': 100.0, 'rougeL': 100.0, 'trigger_counts': {'tp': 40, 'fp': 0, 'fn': 0}, 'argument_counts': {'tp': 0, 'fp': 0, 'fn': 0}, 'trigger_text': {'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'trigger': {'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'argument': {'precision': 0, 'recall': 0, 'f1': 0}, 'trigger_per_type': {'contact:meet': {'counts': {'tp': 29, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'personnel:elect': {'counts': {'tp': 4, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:convict': {'counts': {'tp': 6, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:trial-hearing': {'counts': {'tp': 1, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}}}
+test | avg_loss: 0.0262451171875 | {'exact_match': 95.9184, 'rougeL': 98.1179, 'trigger_counts': {'tp': 99, 'fp': 4, 'fn': 4}, 'argument_counts': {'tp': 0, 'fp': 0, 'fn': 0}, 'trigger_text': {'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'trigger': {'precision': 0.9611650485436893, 'recall': 0.9611650485436893, 'f1': 0.9611650485436893}, 'argument': {'precision': 0, 'recall': 0, 'f1': 0}, 'trigger_per_type': {'business:start-org': {'counts': {'tp': 15, 'fp': 1, 'fn': 2}, 'precision': 0.9375, 'recall': 0.8823529411764706, 'f1': 0.9090909090909091}, 'personnel:nominate': {'counts': {'tp': 0, 'fp': 0, 'fn': 1}, 'precision': 0, 'recall': 0.0, 'f1': 0}, 'contact:meet': {'counts': {'tp': 49, 'fp': 1, 'fn': 0}, 'precision': 0.98, 'recall': 1.0, 'f1': 0.98989898989899}, 'personnel:elect': {'counts': {'tp': 13, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:convict': {'counts': {'tp': 6, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:trial-hearing': {'counts': {'tp': 5, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'life:divorce': {'counts': {'tp': 8, 'fp': 0, 'fn': 1}, 'precision': 1.0, 'recall': 0.8888888888888888, 'f1': 0.9411764705882353}, 'life:be-born': {'counts': {'tp': 3, 'fp': 1, 'fn': 0}, 'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571}}}
+train | epoch   1 | Iter:     76/   204 | global iter:     20/    51 | loss: 0.1034 | ds_loss: 0.0000 | lr: 7.9028e-05 | scale:     1.0000 | micro time: 0.425 | step time: 1.642
+train | epoch   1 | Iter:    116/   204 | global iter:     30/    51 | loss: 0.0171 | ds_loss: 0.0000 | lr: 4.6751e-05 | scale:     1.0000 | micro time: 0.425 | step time: 1.654
+dev | avg_loss: 0.00927734375 | {'exact_match': 97.3684, 'rougeL': 99.2823, 'trigger_counts': {'tp': 39, 'fp': 0, 'fn': 1}, 'argument_counts': {'tp': 0, 'fp': 0, 'fn': 0}, 'trigger_text': {'precision': 1.0, 'recall': 0.975, 'f1': 0.9873417721518987}, 'trigger': {'precision': 1.0, 'recall': 0.975, 'f1': 0.9873417721518987}, 'argument': {'precision': 0, 'recall': 0, 'f1': 0}, 'trigger_per_type': {'contact:meet': {'counts': {'tp': 28, 'fp': 0, 'fn': 1}, 'precision': 1.0, 'recall': 0.9655172413793104, 'f1': 0.9824561403508771}, 'personnel:elect': {'counts': {'tp': 4, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:convict': {'counts': {'tp': 6, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:trial-hearing': {'counts': {'tp': 1, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}}}
+test | avg_loss: 0.00513458251953125 | {'exact_match': 98.9796, 'rougeL': 99.7449, 'trigger_counts': {'tp': 102, 'fp': 1, 'fn': 1}, 'argument_counts': {'tp': 0, 'fp': 0, 'fn': 0}, 'trigger_text': {'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'trigger': {'precision': 0.9902912621359223, 'recall': 0.9902912621359223, 'f1': 0.9902912621359223}, 'argument': {'precision': 0, 'recall': 0, 'f1': 0}, 'trigger_per_type': {'personnel:nominate': {'counts': {'tp': 1, 'fp': 1, 'fn': 0}, 'precision': 0.5, 'recall': 1.0, 'f1': 0.6666666666666666}, 'contact:meet': {'counts': {'tp': 49, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'business:start-org': {'counts': {'tp': 17, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'personnel:elect': {'counts': {'tp': 12, 'fp': 0, 'fn': 1}, 'precision': 1.0, 'recall': 0.9230769230769231, 'f1': 0.9600000000000001}, 'justice:convict': {'counts': {'tp': 6, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:trial-hearing': {'counts': {'tp': 5, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'life:divorce': {'counts': {'tp': 9, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'life:be-born': {'counts': {'tp': 3, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}}}
+train | epoch   2 | Iter:    156/   204 | global iter:     40/    51 | loss: 0.0052 | ds_loss: 0.0000 | lr: 1.5938e-05 | scale:     1.0000 | micro time: 0.425 | step time: 1.644
+train | epoch   2 | Iter:    196/   204 | global iter:     50/    51 | loss: 0.0026 | ds_loss: 0.0000 | lr: 4.6773e-07 | scale:     1.0000 | micro time: 0.425 | step time: 1.655
+dev | avg_loss: 0.0048828125 | {'exact_match': 97.3684, 'rougeL': 99.2823, 'trigger_counts': {'tp': 39, 'fp': 0, 'fn': 1}, 'argument_counts': {'tp': 0, 'fp': 0, 'fn': 0}, 'trigger_text': {'precision': 1.0, 'recall': 0.975, 'f1': 0.9873417721518987}, 'trigger': {'precision': 1.0, 'recall': 0.975, 'f1': 0.9873417721518987}, 'argument': {'precision': 0, 'recall': 0, 'f1': 0}, 'trigger_per_type': {'contact:meet': {'counts': {'tp': 28, 'fp': 0, 'fn': 1}, 'precision': 1.0, 'recall': 0.9655172413793104, 'f1': 0.9824561403508771}, 'personnel:elect': {'counts': {'tp': 4, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:convict': {'counts': {'tp': 6, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:trial-hearing': {'counts': {'tp': 1, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}}}
+test | avg_loss: 0.00522613525390625 | {'exact_match': 97.9592, 'rougeL': 99.178, 'trigger_counts': {'tp': 101, 'fp': 2, 'fn': 2}, 'argument_counts': {'tp': 0, 'fp': 0, 'fn': 0}, 'trigger_text': {'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'trigger': {'precision': 0.9805825242718447, 'recall': 0.9805825242718447, 'f1': 0.9805825242718447}, 'argument': {'precision': 0, 'recall': 0, 'f1': 0}, 'trigger_per_type': {'personnel:nominate': {'counts': {'tp': 1, 'fp': 1, 'fn': 0}, 'precision': 0.5, 'recall': 1.0, 'f1': 0.6666666666666666}, 'contact:meet': {'counts': {'tp': 49, 'fp': 1, 'fn': 0}, 'precision': 0.98, 'recall': 1.0, 'f1': 0.98989898989899}, 'business:start-org': {'counts': {'tp': 16, 'fp': 0, 'fn': 1}, 'precision': 1.0, 'recall': 0.9411764705882353, 'f1': 0.9696969696969697}, 'personnel:elect': {'counts': {'tp': 12, 'fp': 0, 'fn': 1}, 'precision': 1.0, 'recall': 0.9230769230769231, 'f1': 0.9600000000000001}, 'justice:convict': {'counts': {'tp': 6, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:trial-hearing': {'counts': {'tp': 5, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'life:divorce': {'counts': {'tp': 9, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'life:be-born': {'counts': {'tp': 3, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}}}
+test | avg_loss: 0.00522613525390625 | {'exact_match': 96.9388, 'rougeL': 98.8379, 'trigger_counts': {'tp': 100, 'fp': 3, 'fn': 3}, 'argument_counts': {'tp': 0, 'fp': 0, 'fn': 0}, 'trigger_text': {'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'trigger': {'precision': 0.970873786407767, 'recall': 0.970873786407767, 'f1': 0.970873786407767}, 'argument': {'precision': 0, 'recall': 0, 'f1': 0}, 'trigger_per_type': {'personnel:nominate': {'counts': {'tp': 1, 'fp': 1, 'fn': 0}, 'precision': 0.5, 'recall': 1.0, 'f1': 0.6666666666666666}, 'contact:meet': {'counts': {'tp': 49, 'fp': 1, 'fn': 0}, 'precision': 0.98, 'recall': 1.0, 'f1': 0.98989898989899}, 'business:start-org': {'counts': {'tp': 16, 'fp': 0, 'fn': 1}, 'precision': 1.0, 'recall': 0.9411764705882353, 'f1': 0.9696969696969697}, 'personnel:elect': {'counts': {'tp': 12, 'fp': 0, 'fn': 1}, 'precision': 1.0, 'recall': 0.9230769230769231, 'f1': 0.9600000000000001}, 'justice:convict': {'counts': {'tp': 6, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'justice:trial-hearing': {'counts': {'tp': 5, 'fp': 0, 'fn': 0}, 'precision': 1.0, 'recall': 1.0, 'f1': 1.0}, 'life:divorce': {'counts': {'tp': 8, 'fp': 0, 'fn': 1}, 'precision': 1.0, 'recall': 0.8888888888888888, 'f1': 0.9411764705882353}, 'life:be-born': {'counts': {'tp': 3, 'fp': 1, 'fn': 0}, 'precision': 0.75, 'recall': 1.0, 'f1': 0.8571428571428571}}}

span_v3/ace_0_0.6B_cl/1/26/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-0.6B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-0.6B
+- 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 0.18.1

span_v3/ace_0_0.6B_cl/1/26/adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-0.6B",
+  "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": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj",
+    "k_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

span_v3/ace_0_0.6B_cl/1/26/adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd1defeabff971ede2264d59a2d154fd3fc05551de4f282da4ca5e4c42d29f19
+size 80802963

span_v3/ace_0_0.6B_cl/1/26/added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

span_v3/ace_0_0.6B_cl/1/26/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

span_v3/ace_0_0.6B_cl/1/26/special_tokens_map.json

@@ -0,0 +1,19 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": "<|im_end|>",
+  "pad_token": "<|im_end|>"
+}

span_v3/ace_0_0.6B_cl/1/26/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d21f8fb0ec91ff3cb1156d458eb9363ebe8cf7a737ce8cb7f9d01dd5425c9870
+size 11422929

span_v3/ace_0_0.6B_cl/1/26/tokenizer_config.json

@@ -0,0 +1,240 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

span_v3/ace_0_0.6B_cl/1/52/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-0.6B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-0.6B
+- 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 0.18.1

span_v3/ace_0_0.6B_cl/1/52/adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-0.6B",
+  "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": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "up_proj",
+    "gate_proj",
+    "down_proj",
+    "k_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

span_v3/ace_0_0.6B_cl/1/52/adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7179320ad97eeb9ea76c04e0e8be6bb93acc1a152b04bf1d5a217a2c70ec5e4
+size 80802963

span_v3/ace_0_0.6B_cl/1/52/added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}