Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- qwen3-4b-instruct/base/adapter/README.md +207 -0
- qwen3-4b-instruct/base/adapter/adapter_config.json +46 -0
- qwen3-4b-instruct/base/adapter/adapter_model.safetensors +3 -0
- qwen3-4b-instruct/base/audit_results.json +137 -0
- qwen3-4b-instruct/base/audit_scores.npz +3 -0
- qwen3-4b-instruct/base/canary_meta.json +0 -0
- qwen3-4b-instruct/base/codecarbon.csv +2 -0
- qwen3-4b-instruct/base/epochs/epoch_001/adapter/README.md +207 -0
- qwen3-4b-instruct/base/epochs/epoch_001/adapter/adapter_config.json +46 -0
- qwen3-4b-instruct/base/epochs/epoch_001/adapter/adapter_model.safetensors +3 -0
- qwen3-4b-instruct/base/epochs/epoch_001/audit_results.json +137 -0
- qwen3-4b-instruct/base/epochs/epoch_001/audit_scores.npz +3 -0
- qwen3-4b-instruct/base/epochs/epoch_002/adapter/README.md +207 -0
- qwen3-4b-instruct/base/epochs/epoch_002/adapter/adapter_config.json +46 -0
- qwen3-4b-instruct/base/epochs/epoch_002/adapter/adapter_model.safetensors +3 -0
- qwen3-4b-instruct/base/epochs/epoch_002/audit_results.json +137 -0
- qwen3-4b-instruct/base/epochs/epoch_002/audit_scores.npz +3 -0
- qwen3-4b-instruct/base/metrics.jsonl +49 -0
- qwen3-4b-instruct/base/pretrain_lm_head.pt +3 -0
- qwen3-4b-instruct/base/resolved_config.yaml +100 -0
- qwen3-4b-instruct/base/scalars.csv +537 -0
- qwen3-4b-instruct/base/summary.json +71 -0
- qwen3-4b-instruct/base/tensorboard/events.out.tfevents.1773761739.7b654b6988b0.32156.0 +3 -0
- qwen3-4b-instruct/base/tokenizer/chat_template.jinja +61 -0
- qwen3-4b-instruct/base/tokenizer/tokenizer.json +3 -0
- qwen3-4b-instruct/base/tokenizer/tokenizer_config.json +516 -0
- qwen3-4b-instruct/base/train.log +43 -0
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qwen3-4b-instruct/base/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-instruct/base/adapter/README.md
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| 1 |
+
---
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| 2 |
+
base_model: Qwen/Qwen3-4B-Instruct-2507
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library_name: peft
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| 4 |
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
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| 7 |
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- lora
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| 8 |
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- transformers
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+
---
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| 10 |
+
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| 11 |
+
# Model Card for Model ID
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| 12 |
+
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| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
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| 14 |
+
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| 15 |
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+
## Model Details
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| 18 |
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| 19 |
+
### Model Description
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| 20 |
+
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+
<!-- Provide a longer summary of what this model is. -->
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| 22 |
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| 23 |
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+
- **Developed by:** [More Information Needed]
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| 26 |
+
- **Funded by [optional]:** [More Information Needed]
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| 27 |
+
- **Shared by [optional]:** [More Information Needed]
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| 28 |
+
- **Model type:** [More Information Needed]
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| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 30 |
+
- **License:** [More Information Needed]
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| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 32 |
+
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| 33 |
+
### Model Sources [optional]
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| 34 |
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| 35 |
+
<!-- Provide the basic links for the model. -->
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| 36 |
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| 37 |
+
- **Repository:** [More Information Needed]
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| 38 |
+
- **Paper [optional]:** [More Information Needed]
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| 39 |
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- **Demo [optional]:** [More Information Needed]
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| 40 |
+
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| 41 |
+
## Uses
|
| 42 |
+
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| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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| 44 |
+
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| 45 |
+
### Direct Use
|
| 46 |
+
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| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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| 48 |
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| 49 |
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[More Information Needed]
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| 50 |
+
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| 51 |
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### Downstream Use [optional]
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| 52 |
+
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| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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| 54 |
+
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| 55 |
+
[More Information Needed]
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| 56 |
+
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| 57 |
+
### Out-of-Scope Use
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| 58 |
+
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| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 60 |
+
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| 61 |
+
[More Information Needed]
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| 62 |
+
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| 63 |
+
## Bias, Risks, and Limitations
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| 64 |
+
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| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 66 |
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| 67 |
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[More Information Needed]
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| 68 |
+
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| 69 |
+
### Recommendations
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| 70 |
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| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 72 |
+
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| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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| 74 |
+
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| 75 |
+
## How to Get Started with the Model
|
| 76 |
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| 77 |
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Use the code below to get started with the model.
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| 78 |
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| 79 |
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[More Information Needed]
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| 80 |
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| 81 |
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## Training Details
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| 82 |
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| 83 |
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### Training Data
|
| 84 |
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| 85 |
+
<!-- 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. -->
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| 86 |
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[More Information Needed]
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| 88 |
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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| 92 |
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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| 99 |
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| 100 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 101 |
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| 102 |
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#### Speeds, Sizes, Times [optional]
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| 103 |
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| 104 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 105 |
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| 106 |
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[More Information Needed]
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| 107 |
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## Evaluation
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| 109 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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| 113 |
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#### Testing Data
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| 115 |
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| 116 |
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<!-- This should link to a Dataset Card if possible. -->
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| 117 |
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[More Information Needed]
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#### Factors
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| 121 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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| 125 |
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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| 133 |
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[More Information Needed]
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#### Summary
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| 137 |
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## Model Examination [optional]
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| 141 |
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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| 149 |
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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).
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| 151 |
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| 152 |
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- **Hardware Type:** [More Information Needed]
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| 153 |
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- **Hours used:** [More Information Needed]
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| 154 |
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- **Cloud Provider:** [More Information Needed]
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| 155 |
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- **Compute Region:** [More Information Needed]
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| 156 |
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- **Carbon Emitted:** [More Information Needed]
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| 157 |
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## Technical Specifications [optional]
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| 159 |
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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| 165 |
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[More Information Needed]
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| 167 |
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#### Hardware
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| 169 |
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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| 179 |
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**BibTeX:**
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[More Information Needed]
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| 183 |
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**APA:**
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| 185 |
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[More Information Needed]
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| 187 |
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## Glossary [optional]
|
| 189 |
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| 190 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 191 |
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[More Information Needed]
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## More Information [optional]
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| 195 |
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[More Information Needed]
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## Model Card Authors [optional]
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| 199 |
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[More Information Needed]
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## Model Card Contact
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| 203 |
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| 204 |
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[More Information Needed]
|
| 205 |
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### Framework versions
|
| 206 |
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|
| 207 |
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- PEFT 0.18.1
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qwen3-4b-instruct/base/adapter/adapter_config.json
ADDED
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
|
| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": null,
|
| 6 |
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"base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
|
| 7 |
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"bias": "none",
|
| 8 |
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"corda_config": null,
|
| 9 |
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"ensure_weight_tying": true,
|
| 10 |
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"eva_config": null,
|
| 11 |
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"exclude_modules": null,
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| 12 |
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"fan_in_fan_out": false,
|
| 13 |
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"inference_mode": true,
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| 14 |
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"init_lora_weights": true,
|
| 15 |
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"layer_replication": null,
|
| 16 |
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"layers_pattern": null,
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| 17 |
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"layers_to_transform": null,
|
| 18 |
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"loftq_config": {},
|
| 19 |
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"lora_alpha": 32,
|
| 20 |
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"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
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"megatron_config": null,
|
| 23 |
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"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": [
|
| 25 |
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"lm_head",
|
| 26 |
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"embed_tokens"
|
| 27 |
+
],
|
| 28 |
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"peft_type": "LORA",
|
| 29 |
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"peft_version": "0.18.1",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
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"r": 16,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
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"target_modules": [
|
| 35 |
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"o_proj",
|
| 36 |
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"k_proj",
|
| 37 |
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"v_proj",
|
| 38 |
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"q_proj"
|
| 39 |
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],
|
| 40 |
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"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
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qwen3-4b-instruct/base/adapter/adapter_model.safetensors
ADDED
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:951990d4c34c593ed5c2777e6ebe986acc6b01f8038c050c69b3cd13c8dbc3af
|
| 3 |
+
size 4721857072
|
qwen3-4b-instruct/base/audit_results.json
ADDED
|
@@ -0,0 +1,137 @@
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| 1 |
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{
|
| 2 |
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"delta": 1e-05,
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
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"empirical_epsilon_details": {
|
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|
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|
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|
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|
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|
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|
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 84 |
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|
| 90 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"direction": "lower"
|
| 134 |
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}
|
| 135 |
+
}
|
| 136 |
+
}
|
| 137 |
+
}
|
qwen3-4b-instruct/base/audit_scores.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd3dd9fd37e8fbc94a3c62416c334e11928ed1d4d26de64dd88997b4246b9fcb
|
| 3 |
+
size 12784
|
qwen3-4b-instruct/base/canary_meta.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
qwen3-4b-instruct/base/codecarbon.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,water_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,cpu_utilization_percent,gpu_utilization_percent,ram_utilization_percent,ram_used_gb,on_cloud,pue,wue
|
| 2 |
+
2026-03-17T16:14:46,codedp-qwen3-4b-instruct-cpt-base,c4455506-be9b-4ebf-9411-44a1ca74c256,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,2345.9966679112986,0.09022432714096462,3.8458847096868924e-05,72.02285277932866,3280.290622412428,54.0,0.045218986505725985,2.137964725370466,0.03390259211605879,2.2170863039922497,0.0,Sweden,SWE,östergötland county,,,Linux-6.8.0-94-generic-x86_64-with-glibc2.39,3.11.0,3.2.3,256,AMD EPYC 9554 64-Core Processor,8,8 x NVIDIA H200,16.1885,58.594,1511.49019241333,machine,3.3142796066695253,88.58721675929884,5.287772552372644,79.7947571596665,N,1.0,0.0
|
qwen3-4b-instruct/base/epochs/epoch_001/adapter/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
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|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen3-4B-Instruct-2507
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.1
|
qwen3-4b-instruct/base/epochs/epoch_001/adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": true,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": [
|
| 25 |
+
"lm_head",
|
| 26 |
+
"embed_tokens"
|
| 27 |
+
],
|
| 28 |
+
"peft_type": "LORA",
|
| 29 |
+
"peft_version": "0.18.1",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
+
"r": 16,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": [
|
| 35 |
+
"o_proj",
|
| 36 |
+
"k_proj",
|
| 37 |
+
"v_proj",
|
| 38 |
+
"q_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
qwen3-4b-instruct/base/epochs/epoch_001/adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d15fef335597efc6c9627b295490c7398f384f70071dc4ff04661f4776a9e5f
|
| 3 |
+
size 4721857072
|
qwen3-4b-instruct/base/epochs/epoch_001/audit_results.json
ADDED
|
@@ -0,0 +1,137 @@
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|
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|
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|
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|
|
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{
|
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|
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|
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|
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}
|
qwen3-4b-instruct/base/epochs/epoch_001/audit_scores.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b450e4b28f68344d4b013d7fd537cafa20bac640bcb9c531ee461b22e316ca0
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| 3 |
+
size 12784
|
qwen3-4b-instruct/base/epochs/epoch_002/adapter/README.md
ADDED
|
@@ -0,0 +1,207 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen3-4B-Instruct-2507
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.1
|
qwen3-4b-instruct/base/epochs/epoch_002/adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
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|
|
|
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|
|
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|
|
|
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|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": true,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": [
|
| 25 |
+
"lm_head",
|
| 26 |
+
"embed_tokens"
|
| 27 |
+
],
|
| 28 |
+
"peft_type": "LORA",
|
| 29 |
+
"peft_version": "0.18.1",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
+
"r": 16,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": [
|
| 35 |
+
"o_proj",
|
| 36 |
+
"k_proj",
|
| 37 |
+
"v_proj",
|
| 38 |
+
"q_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
qwen3-4b-instruct/base/epochs/epoch_002/adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:951990d4c34c593ed5c2777e6ebe986acc6b01f8038c050c69b3cd13c8dbc3af
|
| 3 |
+
size 4721857072
|
qwen3-4b-instruct/base/epochs/epoch_002/audit_results.json
ADDED
|
@@ -0,0 +1,137 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"delta": 1e-05,
|
| 3 |
+
"num_canaries": 500,
|
| 4 |
+
"num_members": 250,
|
| 5 |
+
"paper_guess_fraction": 0.2,
|
| 6 |
+
"paper_guess_steps": 20,
|
| 7 |
+
"loss": {
|
| 8 |
+
"auc": 0.968584,
|
| 9 |
+
"empirical_epsilon": {
|
| 10 |
+
"0.05": 3.4791953936219215,
|
| 11 |
+
"0.01": 3.023197554051876
|
| 12 |
+
},
|
| 13 |
+
"empirical_epsilon_details": {
|
| 14 |
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"0.05": {
|
| 15 |
+
"epsilon": 3.4791953936219215,
|
| 16 |
+
"num_guesses": 100,
|
| 17 |
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"correct_guesses": 100,
|
| 18 |
+
"candidate_num_guesses": [
|
| 19 |
+
5,
|
| 20 |
+
10,
|
| 21 |
+
15,
|
| 22 |
+
20,
|
| 23 |
+
25,
|
| 24 |
+
30,
|
| 25 |
+
35,
|
| 26 |
+
40,
|
| 27 |
+
45,
|
| 28 |
+
50,
|
| 29 |
+
55,
|
| 30 |
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qwen3-4b-instruct/base/epochs/epoch_002/audit_scores.npz
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qwen3-4b-instruct/base/metrics.jsonl
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|
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{"timestamp": 1773761894.8111923, "event": "train_step", "step": 10, "epoch": 1, "metrics": {"train/step_loss": 1.8352766107110416, "train/step_real_loss": 1.028106451034546, "train/lr": 5.2631578947368424e-05, "train/step_canary_loss": 14.75, "perf/step_duration_sec": 6.234770041890442, "perf/samples_per_sec": 5.453288536956348, "perf/tokens_per_sec": 3980.098677781523, "perf/logical_batch_size": 34.0, "perf/logical_token_count": 24815.0, "perf/gradient_accumulation_steps": 4.0, "system/cuda_memory_allocated_gb": 15.915565013885498, "system/cuda_max_memory_allocated_gb": 94.4762544631958}}
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| 49 |
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|
qwen3-4b-instruct/base/pretrain_lm_head.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:bc44b7d60b8e2cf912e4233ff02bc57bb7e91f7a3ba6aa8ea10b7767ca29954a
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| 3 |
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size 779106920
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qwen3-4b-instruct/base/resolved_config.yaml
ADDED
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| 1 |
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model:
|
| 2 |
+
name: Qwen/Qwen3-4B-Instruct-2507
|
| 3 |
+
tokenizer_name: Qwen/Qwen3-4B-Instruct-2507
|
| 4 |
+
max_length: 1024
|
| 5 |
+
dtype: bfloat16
|
| 6 |
+
trust_remote_code: true
|
| 7 |
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use_fast_tokenizer: true
|
| 8 |
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cache_dir: null
|
| 9 |
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local_files_only: false
|
| 10 |
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low_cpu_mem_usage: true
|
| 11 |
+
tie_word_embeddings: true
|
| 12 |
+
gradient_checkpointing: false
|
| 13 |
+
use_chat_template: false
|
| 14 |
+
dataset:
|
| 15 |
+
name: melihcatal/codedp-cpt
|
| 16 |
+
split: train
|
| 17 |
+
mode: cpt
|
| 18 |
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text_column: text
|
| 19 |
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validation_ratio: 0.05
|
| 20 |
+
max_samples: -1
|
| 21 |
+
lora:
|
| 22 |
+
enabled: true
|
| 23 |
+
r: 16
|
| 24 |
+
alpha: 32
|
| 25 |
+
dropout: 0.05
|
| 26 |
+
target_modules:
|
| 27 |
+
- q_proj
|
| 28 |
+
- k_proj
|
| 29 |
+
- v_proj
|
| 30 |
+
- o_proj
|
| 31 |
+
modules_to_save:
|
| 32 |
+
- lm_head
|
| 33 |
+
bias: none
|
| 34 |
+
training:
|
| 35 |
+
seed: 42
|
| 36 |
+
epochs: 2
|
| 37 |
+
warmup_steps: null
|
| 38 |
+
warmup_ratio: 0.05
|
| 39 |
+
mixed_precision: false
|
| 40 |
+
mixed_precision_dtype: bfloat16
|
| 41 |
+
batch_size: 8
|
| 42 |
+
eval_batch_size: 8
|
| 43 |
+
eval_every_steps: 50
|
| 44 |
+
eval_every_epochs: 1
|
| 45 |
+
learning_rate: 0.0001
|
| 46 |
+
optimizer: adamw
|
| 47 |
+
lr_scheduler: cosine
|
| 48 |
+
adam_beta1: 0.9
|
| 49 |
+
adam_beta2: 0.999
|
| 50 |
+
adam_epsilon: 1.0e-08
|
| 51 |
+
sgd_momentum: 0.9
|
| 52 |
+
weight_decay: 0.01
|
| 53 |
+
max_grad_norm: 1.0
|
| 54 |
+
log_every: 10
|
| 55 |
+
gradient_accumulation_steps: 4
|
| 56 |
+
num_workers: 4
|
| 57 |
+
output_dir: runs/cpt/qwen3-4b-instruct/base
|
| 58 |
+
distributed:
|
| 59 |
+
strategy: dpddp
|
| 60 |
+
backend: nccl
|
| 61 |
+
devices: null
|
| 62 |
+
dp:
|
| 63 |
+
module_validator: auto
|
| 64 |
+
target_delta: 1.0e-05
|
| 65 |
+
noise_multiplier: null
|
| 66 |
+
max_grad_norm: 1.0
|
| 67 |
+
grad_sample_mode: ghost
|
| 68 |
+
secure_mode: false
|
| 69 |
+
enabled: false
|
| 70 |
+
target_epsilon: 8.0
|
| 71 |
+
audit:
|
| 72 |
+
enabled: true
|
| 73 |
+
run_every_epoch: true
|
| 74 |
+
epoch_device: cuda
|
| 75 |
+
q_canary: auto
|
| 76 |
+
num_canaries: 500
|
| 77 |
+
prefix_length: 49
|
| 78 |
+
num_digits: 12
|
| 79 |
+
batch_size: 32
|
| 80 |
+
delta: 1.0e-05
|
| 81 |
+
p_values:
|
| 82 |
+
- 0.05
|
| 83 |
+
- 0.01
|
| 84 |
+
paper_guess_fraction: 0.2
|
| 85 |
+
paper_guess_steps: 20
|
| 86 |
+
enable_holdout_empirical_epsilon: false
|
| 87 |
+
holdout_seed: 42
|
| 88 |
+
tie_seed: 42
|
| 89 |
+
tracking:
|
| 90 |
+
enabled: true
|
| 91 |
+
tensorboard: true
|
| 92 |
+
wandb: false
|
| 93 |
+
wandb_project: codedp-finetune-h200-audit
|
| 94 |
+
wandb_run_name: qwen3-4b-instruct-cpt-base
|
| 95 |
+
wandb_mode: online
|
| 96 |
+
codecarbon: true
|
| 97 |
+
codecarbon_output_file: codecarbon.csv
|
| 98 |
+
codecarbon_measure_power_secs: 15
|
| 99 |
+
codecarbon_country_iso_code: null
|
| 100 |
+
codecarbon_project_name: codedp-qwen3-4b-instruct-cpt-base
|
qwen3-4b-instruct/base/scalars.csv
ADDED
|
@@ -0,0 +1,537 @@
|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
|
| 1 |
+
timestamp,event,step,epoch,key,value
|
| 2 |
+
1773761894.8111923,train_step,10,1,train/step_loss,1.8352766107110416
|
| 3 |
+
1773761894.8111923,train_step,10,1,train/step_real_loss,1.028106451034546
|
| 4 |
+
1773761894.8111923,train_step,10,1,train/lr,5.2631578947368424e-05
|
| 5 |
+
1773761894.8111923,train_step,10,1,train/step_canary_loss,14.75
|
| 6 |
+
1773761894.8111923,train_step,10,1,perf/step_duration_sec,6.234770041890442
|
| 7 |
+
1773761894.8111923,train_step,10,1,perf/samples_per_sec,5.453288536956348
|
| 8 |
+
1773761894.8111923,train_step,10,1,perf/tokens_per_sec,3980.098677781523
|
| 9 |
+
1773761894.8111923,train_step,10,1,perf/logical_batch_size,34.0
|
| 10 |
+
1773761894.8111923,train_step,10,1,perf/logical_token_count,24815.0
|
| 11 |
+
1773761894.8111923,train_step,10,1,perf/gradient_accumulation_steps,4.0
|
| 12 |
+
1773761894.8111923,train_step,10,1,system/cuda_memory_allocated_gb,15.915565013885498
|
| 13 |
+
1773761894.8111923,train_step,10,1,system/cuda_max_memory_allocated_gb,94.4762544631958
|
| 14 |
+
1773761950.7987902,train_step,20,1,train/step_loss,1.0323970019817352
|
| 15 |
+
1773761950.7987902,train_step,20,1,train/step_real_loss,1.0323970019817352
|
| 16 |
+
1773761950.7987902,train_step,20,1,train/lr,9.999797424944042e-05
|
| 17 |
+
1773761950.7987902,train_step,20,1,perf/step_duration_sec,5.150427320972085
|
| 18 |
+
1773761950.7987902,train_step,20,1,perf/samples_per_sec,6.213076703305535
|
| 19 |
+
1773761950.7987902,train_step,20,1,perf/tokens_per_sec,4927.9406189561805
|
| 20 |
+
1773761950.7987902,train_step,20,1,perf/logical_batch_size,32.0
|
| 21 |
+
1773761950.7987902,train_step,20,1,perf/logical_token_count,25381.0
|
| 22 |
+
1773761950.7987902,train_step,20,1,perf/gradient_accumulation_steps,4.0
|
| 23 |
+
1773761950.7987902,train_step,20,1,system/cuda_memory_allocated_gb,15.915565013885498
|
| 24 |
+
1773761950.7987902,train_step,20,1,system/cuda_max_memory_allocated_gb,94.4762544631958
|
| 25 |
+
1773762007.3004794,train_step,30,1,train/step_loss,0.8551503717899323
|
| 26 |
+
1773762007.3004794,train_step,30,1,train/step_real_loss,0.8551503717899323
|
| 27 |
+
1773762007.3004794,train_step,30,1,train/lr,9.975508273693644e-05
|
| 28 |
+
1773762007.3004794,train_step,30,1,perf/step_duration_sec,5.69609066285193
|
| 29 |
+
1773762007.3004794,train_step,30,1,perf/samples_per_sec,5.617888108539722
|
| 30 |
+
1773762007.3004794,train_step,30,1,perf/tokens_per_sec,4432.689276641233
|
| 31 |
+
1773762007.3004794,train_step,30,1,perf/logical_batch_size,32.0
|
| 32 |
+
1773762007.3004794,train_step,30,1,perf/logical_token_count,25249.0
|
| 33 |
+
1773762007.3004794,train_step,30,1,perf/gradient_accumulation_steps,4.0
|
| 34 |
+
1773762007.3004794,train_step,30,1,system/cuda_memory_allocated_gb,15.915565013885498
|
| 35 |
+
1773762007.3004794,train_step,30,1,system/cuda_max_memory_allocated_gb,94.4762544631958
|
| 36 |
+
1773762065.1568909,train_step,40,1,train/step_loss,0.8950656801462173
|
| 37 |
+
1773762065.1568909,train_step,40,1,train/step_real_loss,0.8950656801462173
|
| 38 |
+
1773762065.1568909,train_step,40,1,train/lr,9.910929512300672e-05
|
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1773764086.9161372,energy_final,368,,energy/codecarbon/wue,0.0
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qwen3-4b-instruct/base/summary.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"audit/delta": 1e-05,
|
| 3 |
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|
| 4 |
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|
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|
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|
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|
| 14 |
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|
| 15 |
+
"audit/loss/empirical_epsilon_details/0.01/correct_guesses": 100.0,
|
| 16 |
+
"audit/loss/empirical_epsilon_details/0.01/epsilon": 3.023197554051876,
|
| 17 |
+
"audit/loss/empirical_epsilon_details/0.01/num_guesses": 100.0,
|
| 18 |
+
"audit/loss/empirical_epsilon_details/0.05/correct_guesses": 100.0,
|
| 19 |
+
"audit/loss/empirical_epsilon_details/0.05/epsilon": 3.4791953936219215,
|
| 20 |
+
"audit/loss/empirical_epsilon_details/0.05/num_guesses": 100.0,
|
| 21 |
+
"audit/num_canaries": 500.0,
|
| 22 |
+
"audit/num_members": 250.0,
|
| 23 |
+
"audit/paper_guess_fraction": 0.2,
|
| 24 |
+
"audit/paper_guess_steps": 20.0,
|
| 25 |
+
"energy/codecarbon/cpu_count": 256.0,
|
| 26 |
+
"energy/codecarbon/cpu_energy": 0.045218986505725985,
|
| 27 |
+
"energy/codecarbon/cpu_power": 72.02285277932866,
|
| 28 |
+
"energy/codecarbon/cpu_utilization_percent": 3.3142796066695253,
|
| 29 |
+
"energy/codecarbon/duration": 2345.9966679112986,
|
| 30 |
+
"energy/codecarbon/emissions": 0.09022432714096462,
|
| 31 |
+
"energy/codecarbon/emissions_rate": 3.8458847096868924e-05,
|
| 32 |
+
"energy/codecarbon/energy_consumed": 2.2170863039922497,
|
| 33 |
+
"energy/codecarbon/gpu_count": 8.0,
|
| 34 |
+
"energy/codecarbon/gpu_energy": 2.137964725370466,
|
| 35 |
+
"energy/codecarbon/gpu_power": 3280.290622412428,
|
| 36 |
+
"energy/codecarbon/gpu_utilization_percent": 88.58721675929884,
|
| 37 |
+
"energy/codecarbon/latitude": 58.594,
|
| 38 |
+
"energy/codecarbon/longitude": 16.1885,
|
| 39 |
+
"energy/codecarbon/pue": 1.0,
|
| 40 |
+
"energy/codecarbon/ram_energy": 0.03390259211605879,
|
| 41 |
+
"energy/codecarbon/ram_power": 54.0,
|
| 42 |
+
"energy/codecarbon/ram_total_size": 1511.49019241333,
|
| 43 |
+
"energy/codecarbon/ram_used_gb": 79.7947571596665,
|
| 44 |
+
"energy/codecarbon/ram_utilization_percent": 5.287772552372644,
|
| 45 |
+
"energy/codecarbon/water_consumed": 0.0,
|
| 46 |
+
"energy/codecarbon/wue": 0.0,
|
| 47 |
+
"eval/duration_sec": 12.857198356185108,
|
| 48 |
+
"eval/loss": 0.8075161480750794,
|
| 49 |
+
"perf/audit_duration_sec": 7.556974642910063,
|
| 50 |
+
"perf/epoch_duration_sec": 1096.7485609338619,
|
| 51 |
+
"perf/epoch_samples": 47582.0,
|
| 52 |
+
"perf/epoch_samples_per_sec": 43.38460217306761,
|
| 53 |
+
"perf/epoch_tokens": 37537149.0,
|
| 54 |
+
"perf/epoch_tokens_per_sec": 34225.847506959835,
|
| 55 |
+
"perf/gradient_accumulation_steps": 4.0,
|
| 56 |
+
"perf/logical_batch_size": 32.0,
|
| 57 |
+
"perf/logical_token_count": 26582.0,
|
| 58 |
+
"perf/samples_per_sec": 5.618377621729371,
|
| 59 |
+
"perf/step_duration_sec": 5.695594378747046,
|
| 60 |
+
"perf/tokens_per_sec": 4667.116060650316,
|
| 61 |
+
"system/cuda_epoch_peak_memory_gb": 94.47624206542969,
|
| 62 |
+
"system/cuda_max_memory_allocated_gb": 94.47624206542969,
|
| 63 |
+
"system/cuda_memory_allocated_gb": 15.915565013885498,
|
| 64 |
+
"train/epoch_canary_loss": 3.6806401156922846,
|
| 65 |
+
"train/epoch_loss": 0.856036927981092,
|
| 66 |
+
"train/epoch_real_loss": 0.8280306565727147,
|
| 67 |
+
"train/lr": 1.295928914885336e-07,
|
| 68 |
+
"train/step_canary_loss": 4.125,
|
| 69 |
+
"train/step_loss": 0.8157700151205063,
|
| 70 |
+
"train/step_real_loss": 0.8157700151205063
|
| 71 |
+
}
|
qwen3-4b-instruct/base/tensorboard/events.out.tfevents.1773761739.7b654b6988b0.32156.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3b55227175e1ecbcf79b12550edd079956b7869b97adc97b1aadf0a02287d39a
|
| 3 |
+
size 36378
|
qwen3-4b-instruct/base/tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# 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>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\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" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- for message in messages %}
|
| 18 |
+
{%- if message.content is string %}
|
| 19 |
+
{%- set content = message.content %}
|
| 20 |
+
{%- else %}
|
| 21 |
+
{%- set content = '' %}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 24 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 25 |
+
{%- elif message.role == "assistant" %}
|
| 26 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 27 |
+
{%- if message.tool_calls %}
|
| 28 |
+
{%- for tool_call in message.tool_calls %}
|
| 29 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 30 |
+
{{- '\n' }}
|
| 31 |
+
{%- endif %}
|
| 32 |
+
{%- if tool_call.function %}
|
| 33 |
+
{%- set tool_call = tool_call.function %}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 36 |
+
{{- tool_call.name }}
|
| 37 |
+
{{- '", "arguments": ' }}
|
| 38 |
+
{%- if tool_call.arguments is string %}
|
| 39 |
+
{{- tool_call.arguments }}
|
| 40 |
+
{%- else %}
|
| 41 |
+
{{- tool_call.arguments | tojson }}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{{- '}\n</tool_call>' }}
|
| 44 |
+
{%- endfor %}
|
| 45 |
+
{%- endif %}
|
| 46 |
+
{{- '<|im_end|>\n' }}
|
| 47 |
+
{%- elif message.role == "tool" %}
|
| 48 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 49 |
+
{{- '<|im_start|>user' }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{{- '\n<tool_response>\n' }}
|
| 52 |
+
{{- content }}
|
| 53 |
+
{{- '\n</tool_response>' }}
|
| 54 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 55 |
+
{{- '<|im_end|>\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{%- endfor %}
|
| 59 |
+
{%- if add_generation_prompt %}
|
| 60 |
+
{{- '<|im_start|>assistant\n' }}
|
| 61 |
+
{%- endif %}
|
qwen3-4b-instruct/base/tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0e9c8aef460c70c1e1c32afe895f455856c0075e5706f06e6d80b2f581137715
|
| 3 |
+
size 11517150
|
qwen3-4b-instruct/base/tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,516 @@
|
|
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|
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|
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|
|
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|
qwen3-4b-instruct/base/train.log
ADDED
|
@@ -0,0 +1,43 @@
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|
| 1 |
+
2026-03-17 15:38:14,810 [INFO] new_opacus_codex.train_steps: epoch=1 step=10 loss=1.2991
|
| 2 |
+
2026-03-17 15:39:10,798 [INFO] new_opacus_codex.train_steps: epoch=1 step=20 loss=1.1180
|
| 3 |
+
2026-03-17 15:40:07,300 [INFO] new_opacus_codex.train_steps: epoch=1 step=30 loss=1.1701
|
| 4 |
+
2026-03-17 15:41:05,156 [INFO] new_opacus_codex.train_steps: epoch=1 step=40 loss=1.0721
|
| 5 |
+
2026-03-17 15:42:01,272 [INFO] new_opacus_codex.train_steps: epoch=1 step=50 loss=0.9707
|
| 6 |
+
2026-03-17 15:42:14,073 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=1 step=50 eval_loss=0.8534 duration_sec=12.80
|
| 7 |
+
2026-03-17 15:43:10,275 [INFO] new_opacus_codex.train_steps: epoch=1 step=60 loss=1.0486
|
| 8 |
+
2026-03-17 15:44:09,206 [INFO] new_opacus_codex.train_steps: epoch=1 step=70 loss=0.9598
|
| 9 |
+
2026-03-17 15:45:05,719 [INFO] new_opacus_codex.train_steps: epoch=1 step=80 loss=0.9536
|
| 10 |
+
2026-03-17 15:46:03,202 [INFO] new_opacus_codex.train_steps: epoch=1 step=90 loss=0.8977
|
| 11 |
+
2026-03-17 15:46:59,339 [INFO] new_opacus_codex.train_steps: epoch=1 step=100 loss=0.9494
|
| 12 |
+
2026-03-17 15:47:12,127 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=1 step=100 eval_loss=0.8295 duration_sec=12.79
|
| 13 |
+
2026-03-17 15:48:09,329 [INFO] new_opacus_codex.train_steps: epoch=1 step=110 loss=0.9597
|
| 14 |
+
2026-03-17 15:49:04,919 [INFO] new_opacus_codex.train_steps: epoch=1 step=120 loss=0.9211
|
| 15 |
+
2026-03-17 15:50:01,866 [INFO] new_opacus_codex.train_steps: epoch=1 step=130 loss=0.9734
|
| 16 |
+
2026-03-17 15:50:59,563 [INFO] new_opacus_codex.train_steps: epoch=1 step=140 loss=0.9642
|
| 17 |
+
2026-03-17 15:51:57,620 [INFO] new_opacus_codex.train_steps: epoch=1 step=150 loss=0.9605
|
| 18 |
+
2026-03-17 15:52:10,416 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=1 step=150 eval_loss=0.8174 duration_sec=12.79
|
| 19 |
+
2026-03-17 15:53:05,969 [INFO] new_opacus_codex.train_steps: epoch=1 step=160 loss=0.8810
|
| 20 |
+
2026-03-17 15:54:01,078 [INFO] new_opacus_codex.train_steps: epoch=1 step=170 loss=0.9470
|
| 21 |
+
2026-03-17 15:54:58,843 [INFO] new_opacus_codex.train_steps: epoch=1 step=180 loss=0.8985
|
| 22 |
+
2026-03-17 15:56:24,331 [INFO] new_opacus_codex.train_steps: epoch=2 step=190 loss=0.8604
|
| 23 |
+
2026-03-17 15:57:20,715 [INFO] new_opacus_codex.train_steps: epoch=2 step=200 loss=0.8534
|
| 24 |
+
2026-03-17 15:57:33,520 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=200 eval_loss=0.8111 duration_sec=12.80
|
| 25 |
+
2026-03-17 15:58:30,153 [INFO] new_opacus_codex.train_steps: epoch=2 step=210 loss=0.8451
|
| 26 |
+
2026-03-17 15:59:28,110 [INFO] new_opacus_codex.train_steps: epoch=2 step=220 loss=0.8697
|
| 27 |
+
2026-03-17 16:00:24,220 [INFO] new_opacus_codex.train_steps: epoch=2 step=230 loss=0.8622
|
| 28 |
+
2026-03-17 16:01:22,063 [INFO] new_opacus_codex.train_steps: epoch=2 step=240 loss=0.8586
|
| 29 |
+
2026-03-17 16:02:17,716 [INFO] new_opacus_codex.train_steps: epoch=2 step=250 loss=0.8370
|
| 30 |
+
2026-03-17 16:02:30,526 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=250 eval_loss=0.8086 duration_sec=12.81
|
| 31 |
+
2026-03-17 16:03:26,908 [INFO] new_opacus_codex.train_steps: epoch=2 step=260 loss=0.8445
|
| 32 |
+
2026-03-17 16:04:22,858 [INFO] new_opacus_codex.train_steps: epoch=2 step=270 loss=0.8807
|
| 33 |
+
2026-03-17 16:05:19,992 [INFO] new_opacus_codex.train_steps: epoch=2 step=280 loss=0.8859
|
| 34 |
+
2026-03-17 16:06:17,139 [INFO] new_opacus_codex.train_steps: epoch=2 step=290 loss=0.8174
|
| 35 |
+
2026-03-17 16:07:14,887 [INFO] new_opacus_codex.train_steps: epoch=2 step=300 loss=0.8824
|
| 36 |
+
2026-03-17 16:07:27,689 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=300 eval_loss=0.8077 duration_sec=12.80
|
| 37 |
+
2026-03-17 16:08:24,815 [INFO] new_opacus_codex.train_steps: epoch=2 step=310 loss=0.8392
|
| 38 |
+
2026-03-17 16:09:20,669 [INFO] new_opacus_codex.train_steps: epoch=2 step=320 loss=0.8540
|
| 39 |
+
2026-03-17 16:10:18,600 [INFO] new_opacus_codex.train_steps: epoch=2 step=330 loss=0.8799
|
| 40 |
+
2026-03-17 16:11:15,275 [INFO] new_opacus_codex.train_steps: epoch=2 step=340 loss=0.8421
|
| 41 |
+
2026-03-17 16:12:12,307 [INFO] new_opacus_codex.train_steps: epoch=2 step=350 loss=0.9073
|
| 42 |
+
2026-03-17 16:12:25,113 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=350 eval_loss=0.8075 duration_sec=12.80
|
| 43 |
+
2026-03-17 16:13:20,505 [INFO] new_opacus_codex.train_steps: epoch=2 step=360 loss=0.8343
|