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Browse files- .gitattributes +1 -0
- qwen3-4b-instruct/dp3/adapter/README.md +207 -0
- qwen3-4b-instruct/dp3/adapter/adapter_config.json +46 -0
- qwen3-4b-instruct/dp3/adapter/adapter_model.safetensors +3 -0
- qwen3-4b-instruct/dp3/audit_results.json +137 -0
- qwen3-4b-instruct/dp3/audit_scores.npz +3 -0
- qwen3-4b-instruct/dp3/canary_meta.json +0 -0
- qwen3-4b-instruct/dp3/codecarbon.csv +2 -0
- qwen3-4b-instruct/dp3/epochs/epoch_001/adapter/README.md +207 -0
- qwen3-4b-instruct/dp3/epochs/epoch_001/adapter/adapter_config.json +46 -0
- qwen3-4b-instruct/dp3/epochs/epoch_001/adapter/adapter_model.safetensors +3 -0
- qwen3-4b-instruct/dp3/epochs/epoch_001/audit_results.json +137 -0
- qwen3-4b-instruct/dp3/epochs/epoch_001/audit_scores.npz +3 -0
- qwen3-4b-instruct/dp3/epochs/epoch_002/adapter/README.md +207 -0
- qwen3-4b-instruct/dp3/epochs/epoch_002/adapter/adapter_config.json +46 -0
- qwen3-4b-instruct/dp3/epochs/epoch_002/adapter/adapter_model.safetensors +3 -0
- qwen3-4b-instruct/dp3/epochs/epoch_002/audit_results.json +137 -0
- qwen3-4b-instruct/dp3/epochs/epoch_002/audit_scores.npz +3 -0
- qwen3-4b-instruct/dp3/metrics.jsonl +27 -0
- qwen3-4b-instruct/dp3/pretrain_lm_head.pt +3 -0
- qwen3-4b-instruct/dp3/resolved_config.yaml +101 -0
- qwen3-4b-instruct/dp3/scalars.csv +358 -0
- qwen3-4b-instruct/dp3/summary.json +72 -0
- qwen3-4b-instruct/dp3/tensorboard/events.out.tfevents.1773811283.7b654b6988b0.3379.0 +3 -0
- qwen3-4b-instruct/dp3/tokenizer/chat_template.jinja +61 -0
- qwen3-4b-instruct/dp3/tokenizer/tokenizer.json +3 -0
- qwen3-4b-instruct/dp3/tokenizer/tokenizer_config.json +516 -0
- qwen3-4b-instruct/dp3/train.log +21 -0
.gitattributes
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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/dp8/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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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/dp8/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-instruct/dp3/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-instruct/dp3/adapter/README.md
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| 1 |
+
---
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| 2 |
+
base_model: Qwen/Qwen3-4B-Instruct-2507
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| 3 |
+
library_name: peft
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| 4 |
+
pipeline_tag: text-generation
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| 5 |
+
tags:
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| 6 |
+
- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
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| 7 |
+
- lora
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| 8 |
+
- transformers
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| 9 |
+
---
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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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| 16 |
+
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| 17 |
+
## Model Details
|
| 18 |
+
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| 19 |
+
### Model Description
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| 20 |
+
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| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
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| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **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]
|
| 28 |
+
- **Model type:** [More Information Needed]
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| 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]
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| 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 |
+
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| 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 |
+
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| 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 |
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|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
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| 93 |
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#### Preprocessing [optional]
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| 94 |
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| 95 |
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[More Information Needed]
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| 96 |
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|
| 97 |
+
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| 98 |
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#### 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]
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| 103 |
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|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
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| 106 |
+
[More Information Needed]
|
| 107 |
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|
| 108 |
+
## Evaluation
|
| 109 |
+
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| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
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|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
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| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
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|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
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| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
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|
| 130 |
+
[More Information Needed]
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| 131 |
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|
| 132 |
+
### Results
|
| 133 |
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|
| 134 |
+
[More Information Needed]
|
| 135 |
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|
| 136 |
+
#### Summary
|
| 137 |
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|
| 138 |
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| 139 |
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| 140 |
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## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
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|
| 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 |
+
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| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
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| 162 |
+
[More Information Needed]
|
| 163 |
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| 164 |
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### Compute Infrastructure
|
| 165 |
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| 166 |
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[More Information Needed]
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| 167 |
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| 168 |
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#### Hardware
|
| 169 |
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| 170 |
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[More Information Needed]
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| 171 |
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| 172 |
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#### Software
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| 173 |
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| 174 |
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[More Information Needed]
|
| 175 |
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| 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 |
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| 182 |
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[More Information Needed]
|
| 183 |
+
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| 184 |
+
**APA:**
|
| 185 |
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|
| 186 |
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[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 |
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|
| 194 |
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## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
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## Model Card Authors [optional]
|
| 199 |
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| 200 |
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[More Information Needed]
|
| 201 |
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|
| 202 |
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## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.1
|
qwen3-4b-instruct/dp3/adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
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| 1 |
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{
|
| 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 |
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"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 |
+
"v_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"k_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/dp3/adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
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|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0844d1d1b84e1c37902c9865b63a922a40f22a74e52fc9fe297a73324652cde
|
| 3 |
+
size 4721857072
|
qwen3-4b-instruct/dp3/audit_results.json
ADDED
|
@@ -0,0 +1,137 @@
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|
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|
| 2 |
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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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|
| 68 |
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|
| 69 |
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|
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|
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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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|
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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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"direction": "lower"
|
| 134 |
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|
| 135 |
+
}
|
| 136 |
+
}
|
| 137 |
+
}
|
qwen3-4b-instruct/dp3/audit_scores.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3cdc062093b88f95ceb1289319631cbeab3c23e571ca5bbfb90fda14e85498d3
|
| 3 |
+
size 12784
|
qwen3-4b-instruct/dp3/canary_meta.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
qwen3-4b-instruct/dp3/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 |
+
2026-03-18T06:02:23,codedp-qwen3-4b-instruct-cpt-dp3,4b4c965b-253a-402e-94f1-cd15878f8181,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,2457.6702942838892,0.09496692637153915,3.8641036021965845e-05,72.03190690693239,3303.243429373142,54.0,0.04736684855609284,2.25075239893377,0.03550715308856684,2.3336264005784284,0.0,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,3.8756856324191915,94.07749795249795,5.391281211624831,81.57497969388083,N,1.0,0.0
|
qwen3-4b-instruct/dp3/epochs/epoch_001/adapter/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
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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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|
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|
|
|
|
|
|
|
|
|
|
|
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|
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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/dp3/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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|
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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 |
+
"v_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"k_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/dp3/epochs/epoch_001/adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f74fff041f7595364c070bb9a1766fbaf33b5ef486cfd83c339ae5646e8b8931
|
| 3 |
+
size 4721857072
|
qwen3-4b-instruct/dp3/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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|
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}
|
qwen3-4b-instruct/dp3/epochs/epoch_001/audit_scores.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5805d6b95eeea5aa8c4e47bf2e70ccba9c96374348e289a8b67bb9f60dced7c
|
| 3 |
+
size 12784
|
qwen3-4b-instruct/dp3/epochs/epoch_002/adapter/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
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|
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|
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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/dp3/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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|
|
|
|
|
|
| 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 |
+
"v_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"k_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/dp3/epochs/epoch_002/adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0844d1d1b84e1c37902c9865b63a922a40f22a74e52fc9fe297a73324652cde
|
| 3 |
+
size 4721857072
|
qwen3-4b-instruct/dp3/epochs/epoch_002/audit_results.json
ADDED
|
@@ -0,0 +1,137 @@
|
|
|
|
|
|
|
|
|
|
|
|
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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": 0.504792,
|
| 9 |
+
"empirical_epsilon": {
|
| 10 |
+
"0.05": 0.0,
|
| 11 |
+
"0.01": 0.0
|
| 12 |
+
},
|
| 13 |
+
"empirical_epsilon_details": {
|
| 14 |
+
"0.05": {
|
| 15 |
+
"epsilon": 0.0,
|
| 16 |
+
"num_guesses": 0,
|
| 17 |
+
"correct_guesses": 0,
|
| 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 |
+
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| 23 |
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{"timestamp": 1773813635.9173324, "event": "train_step", "step": 180, "epoch": 2, "metrics": {"train/step_loss": 1.7563851160161636, "train/step_real_loss": 1.0712373107671738, "train/lr": 5.729698228102653e-07, "train/step_canary_loss": 12.71875, "perf/step_duration_sec": 12.466372530907393, "perf/samples_per_sec": 5.454674150913608, "perf/tokens_per_sec": 4245.501236930199, "perf/logical_batch_size": 68.0, "perf/logical_token_count": 52926.0, "perf/physical_batches": 9.0, "privacy/epsilon": 2.9437684274367397, "system/cuda_memory_allocated_gb": 13.261121273040771, "system/cuda_max_memory_allocated_gb": 86.22137594223022}}
|
| 24 |
+
{"timestamp": 1773813716.1885753, "event": "train_epoch", "step": 186, "epoch": 2, "metrics": {"train/epoch_loss": 1.6068291228622247, "train/epoch_real_loss": 1.0283400972633716, "train/epoch_canary_loss": 13.124244338677878, "perf/epoch_duration_sec": 1152.0965769039467, "perf/epoch_samples_per_sec": 42.999867366267054, "perf/epoch_tokens_per_sec": 32782.04514893617, "perf/epoch_samples": 49540.0, "perf/epoch_tokens": 37768082.0, "system/cuda_epoch_peak_memory_gb": 86.22137594223022, "eval/loss": 0.9410304912389854, "eval/duration_sec": 12.763936698902398, "privacy/epsilon": 2.9947529815620726}}
|
| 25 |
+
{"timestamp": 1773813729.4597642, "event": "audit_epoch", "step": 186, "epoch": 2, "metrics": {"audit/delta": 1e-05, "audit/num_canaries": 500.0, "audit/num_members": 250.0, "audit/paper_guess_fraction": 0.2, "audit/paper_guess_steps": 20.0, "audit/loss/auc": 0.504792, "audit/loss/empirical_epsilon/0.05": 0.0, "audit/loss/empirical_epsilon/0.01": 0.0, "audit/loss/empirical_epsilon_details/0.05/epsilon": 0.0, "audit/loss/empirical_epsilon_details/0.05/num_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.05/correct_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.01/epsilon": 0.0, "audit/loss/empirical_epsilon_details/0.01/num_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.01/correct_guesses": 0.0, "audit/embedding/auc": 0.51504, "audit/embedding/empirical_epsilon/0.05": 0.0, "audit/embedding/empirical_epsilon/0.01": 0.0, "audit/embedding/empirical_epsilon_details/0.05/epsilon": 0.0, "audit/embedding/empirical_epsilon_details/0.05/num_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.05/correct_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.01/epsilon": 0.0, "audit/embedding/empirical_epsilon_details/0.01/num_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.01/correct_guesses": 0.0, "perf/audit_duration_sec": 7.0606719348579645}}
|
| 26 |
+
{"timestamp": 1773813742.732494, "event": "audit_final", "step": 186, "epoch": 2, "metrics": {"audit/delta": 1e-05, "audit/num_canaries": 500.0, "audit/num_members": 250.0, "audit/paper_guess_fraction": 0.2, "audit/paper_guess_steps": 20.0, "audit/loss/auc": 0.504792, "audit/loss/empirical_epsilon/0.05": 0.0, "audit/loss/empirical_epsilon/0.01": 0.0, "audit/loss/empirical_epsilon_details/0.05/epsilon": 0.0, "audit/loss/empirical_epsilon_details/0.05/num_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.05/correct_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.01/epsilon": 0.0, "audit/loss/empirical_epsilon_details/0.01/num_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.01/correct_guesses": 0.0, "audit/embedding/auc": 0.51504, "audit/embedding/empirical_epsilon/0.05": 0.0, "audit/embedding/empirical_epsilon/0.01": 0.0, "audit/embedding/empirical_epsilon_details/0.05/epsilon": 0.0, "audit/embedding/empirical_epsilon_details/0.05/num_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.05/correct_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.01/epsilon": 0.0, "audit/embedding/empirical_epsilon_details/0.01/num_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.01/correct_guesses": 0.0}}
|
| 27 |
+
{"timestamp": 1773813743.2978687, "event": "energy_final", "step": 186, "epoch": null, "metrics": {"energy/codecarbon/duration": 2457.6702942838892, "energy/codecarbon/emissions": 0.09496692637153915, "energy/codecarbon/emissions_rate": 3.8641036021965845e-05, "energy/codecarbon/cpu_power": 72.03190690693239, "energy/codecarbon/gpu_power": 3303.243429373142, "energy/codecarbon/ram_power": 54.0, "energy/codecarbon/cpu_energy": 0.04736684855609284, "energy/codecarbon/gpu_energy": 2.25075239893377, "energy/codecarbon/ram_energy": 0.03550715308856684, "energy/codecarbon/energy_consumed": 2.3336264005784284, "energy/codecarbon/water_consumed": 0.0, "energy/codecarbon/cpu_count": 256.0, "energy/codecarbon/gpu_count": 8.0, "energy/codecarbon/longitude": 16.1885, "energy/codecarbon/latitude": 58.594, "energy/codecarbon/ram_total_size": 1511.49019241333, "energy/codecarbon/cpu_utilization_percent": 3.8756856324191915, "energy/codecarbon/gpu_utilization_percent": 94.07749795249795, "energy/codecarbon/ram_utilization_percent": 5.391281211624831, "energy/codecarbon/ram_used_gb": 81.57497969388083, "energy/codecarbon/pue": 1.0, "energy/codecarbon/wue": 0.0}}
|
qwen3-4b-instruct/dp3/pretrain_lm_head.pt
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc44b7d60b8e2cf912e4233ff02bc57bb7e91f7a3ba6aa8ea10b7767ca29954a
|
| 3 |
+
size 779106920
|
qwen3-4b-instruct/dp3/resolved_config.yaml
ADDED
|
@@ -0,0 +1,101 @@
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|
| 1 |
+
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 |
+
use_fast_tokenizer: true
|
| 8 |
+
cache_dir: null
|
| 9 |
+
local_files_only: false
|
| 10 |
+
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 |
+
text_column: text
|
| 19 |
+
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: 0.0002
|
| 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: 8
|
| 56 |
+
num_workers: 4
|
| 57 |
+
output_dir: runs/cpt/qwen3-4b-instruct/dp3
|
| 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: hooks
|
| 68 |
+
secure_mode: false
|
| 69 |
+
enabled: true
|
| 70 |
+
target_epsilon: 3.0
|
| 71 |
+
clipping: flat
|
| 72 |
+
audit:
|
| 73 |
+
enabled: true
|
| 74 |
+
run_every_epoch: true
|
| 75 |
+
epoch_device: cuda
|
| 76 |
+
q_canary: auto
|
| 77 |
+
num_canaries: 500
|
| 78 |
+
prefix_length: 49
|
| 79 |
+
num_digits: 12
|
| 80 |
+
batch_size: 32
|
| 81 |
+
delta: 1.0e-05
|
| 82 |
+
p_values:
|
| 83 |
+
- 0.05
|
| 84 |
+
- 0.01
|
| 85 |
+
paper_guess_fraction: 0.2
|
| 86 |
+
paper_guess_steps: 20
|
| 87 |
+
enable_holdout_empirical_epsilon: false
|
| 88 |
+
holdout_seed: 42
|
| 89 |
+
tie_seed: 42
|
| 90 |
+
tracking:
|
| 91 |
+
enabled: true
|
| 92 |
+
tensorboard: true
|
| 93 |
+
wandb: false
|
| 94 |
+
wandb_project: codedp-finetune-h200-audit
|
| 95 |
+
wandb_run_name: qwen3-4b-instruct-cpt-dp3
|
| 96 |
+
wandb_mode: online
|
| 97 |
+
codecarbon: true
|
| 98 |
+
codecarbon_output_file: codecarbon.csv
|
| 99 |
+
codecarbon_measure_power_secs: 15
|
| 100 |
+
codecarbon_country_iso_code: null
|
| 101 |
+
codecarbon_project_name: codedp-qwen3-4b-instruct-cpt-dp3
|
qwen3-4b-instruct/dp3/scalars.csv
ADDED
|
@@ -0,0 +1,358 @@
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| 1 |
+
timestamp,event,step,epoch,key,value
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| 2 |
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| 3 |
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| 10 |
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| 12 |
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| 13 |
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| 14 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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1773813743.2978687,energy_final,186,,energy/codecarbon/energy_consumed,2.3336264005784284
|
| 347 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/water_consumed,0.0
|
| 348 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/cpu_count,256.0
|
| 349 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/gpu_count,8.0
|
| 350 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/longitude,16.1885
|
| 351 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/latitude,58.594
|
| 352 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/ram_total_size,1511.49019241333
|
| 353 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/cpu_utilization_percent,3.8756856324191915
|
| 354 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/gpu_utilization_percent,94.07749795249795
|
| 355 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/ram_utilization_percent,5.391281211624831
|
| 356 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/ram_used_gb,81.57497969388083
|
| 357 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/pue,1.0
|
| 358 |
+
1773813743.2978687,energy_final,186,,energy/codecarbon/wue,0.0
|
qwen3-4b-instruct/dp3/summary.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"audit/delta": 1e-05,
|
| 3 |
+
"audit/embedding/auc": 0.51504,
|
| 4 |
+
"audit/embedding/empirical_epsilon/0.01": 0.0,
|
| 5 |
+
"audit/embedding/empirical_epsilon/0.05": 0.0,
|
| 6 |
+
"audit/embedding/empirical_epsilon_details/0.01/correct_guesses": 0.0,
|
| 7 |
+
"audit/embedding/empirical_epsilon_details/0.01/epsilon": 0.0,
|
| 8 |
+
"audit/embedding/empirical_epsilon_details/0.01/num_guesses": 0.0,
|
| 9 |
+
"audit/embedding/empirical_epsilon_details/0.05/correct_guesses": 0.0,
|
| 10 |
+
"audit/embedding/empirical_epsilon_details/0.05/epsilon": 0.0,
|
| 11 |
+
"audit/embedding/empirical_epsilon_details/0.05/num_guesses": 0.0,
|
| 12 |
+
"audit/loss/auc": 0.504792,
|
| 13 |
+
"audit/loss/empirical_epsilon/0.01": 0.0,
|
| 14 |
+
"audit/loss/empirical_epsilon/0.05": 0.0,
|
| 15 |
+
"audit/loss/empirical_epsilon_details/0.01/correct_guesses": 0.0,
|
| 16 |
+
"audit/loss/empirical_epsilon_details/0.01/epsilon": 0.0,
|
| 17 |
+
"audit/loss/empirical_epsilon_details/0.01/num_guesses": 0.0,
|
| 18 |
+
"audit/loss/empirical_epsilon_details/0.05/correct_guesses": 0.0,
|
| 19 |
+
"audit/loss/empirical_epsilon_details/0.05/epsilon": 0.0,
|
| 20 |
+
"audit/loss/empirical_epsilon_details/0.05/num_guesses": 0.0,
|
| 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": 0.04736684855609284,
|
| 27 |
+
"energy/codecarbon/cpu_power": 72.03190690693239,
|
| 28 |
+
"energy/codecarbon/cpu_utilization_percent": 3.8756856324191915,
|
| 29 |
+
"energy/codecarbon/duration": 2457.6702942838892,
|
| 30 |
+
"energy/codecarbon/emissions": 0.09496692637153915,
|
| 31 |
+
"energy/codecarbon/emissions_rate": 3.8641036021965845e-05,
|
| 32 |
+
"energy/codecarbon/energy_consumed": 2.3336264005784284,
|
| 33 |
+
"energy/codecarbon/gpu_count": 8.0,
|
| 34 |
+
"energy/codecarbon/gpu_energy": 2.25075239893377,
|
| 35 |
+
"energy/codecarbon/gpu_power": 3303.243429373142,
|
| 36 |
+
"energy/codecarbon/gpu_utilization_percent": 94.07749795249795,
|
| 37 |
+
"energy/codecarbon/latitude": 58.594,
|
| 38 |
+
"energy/codecarbon/longitude": 16.1885,
|
| 39 |
+
"energy/codecarbon/pue": 1.0,
|
| 40 |
+
"energy/codecarbon/ram_energy": 0.03550715308856684,
|
| 41 |
+
"energy/codecarbon/ram_power": 54.0,
|
| 42 |
+
"energy/codecarbon/ram_total_size": 1511.49019241333,
|
| 43 |
+
"energy/codecarbon/ram_used_gb": 81.57497969388083,
|
| 44 |
+
"energy/codecarbon/ram_utilization_percent": 5.391281211624831,
|
| 45 |
+
"energy/codecarbon/water_consumed": 0.0,
|
| 46 |
+
"energy/codecarbon/wue": 0.0,
|
| 47 |
+
"eval/duration_sec": 12.763936698902398,
|
| 48 |
+
"eval/loss": 0.9410304912389854,
|
| 49 |
+
"perf/audit_duration_sec": 7.0606719348579645,
|
| 50 |
+
"perf/epoch_duration_sec": 1152.0965769039467,
|
| 51 |
+
"perf/epoch_samples": 49540.0,
|
| 52 |
+
"perf/epoch_samples_per_sec": 42.999867366267054,
|
| 53 |
+
"perf/epoch_tokens": 37768082.0,
|
| 54 |
+
"perf/epoch_tokens_per_sec": 32782.04514893617,
|
| 55 |
+
"perf/logical_batch_size": 68.0,
|
| 56 |
+
"perf/logical_token_count": 52926.0,
|
| 57 |
+
"perf/physical_batches": 9.0,
|
| 58 |
+
"perf/samples_per_sec": 5.454674150913608,
|
| 59 |
+
"perf/step_duration_sec": 12.466372530907393,
|
| 60 |
+
"perf/tokens_per_sec": 4245.501236930199,
|
| 61 |
+
"privacy/epsilon": 2.9947529815620726,
|
| 62 |
+
"system/cuda_epoch_peak_memory_gb": 86.22137594223022,
|
| 63 |
+
"system/cuda_max_memory_allocated_gb": 86.22137594223022,
|
| 64 |
+
"system/cuda_memory_allocated_gb": 13.261121273040771,
|
| 65 |
+
"train/epoch_canary_loss": 13.124244338677878,
|
| 66 |
+
"train/epoch_loss": 1.6068291228622247,
|
| 67 |
+
"train/epoch_real_loss": 1.0283400972633716,
|
| 68 |
+
"train/lr": 5.729698228102653e-07,
|
| 69 |
+
"train/step_canary_loss": 12.71875,
|
| 70 |
+
"train/step_loss": 1.7563851160161636,
|
| 71 |
+
"train/step_real_loss": 1.0712373107671738
|
| 72 |
+
}
|
qwen3-4b-instruct/dp3/tensorboard/events.out.tfevents.1773811283.7b654b6988b0.3379.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf62293c09b26e3b14cebd16fd5677f0089fba642744c9d5e6c8b124fd776594
|
| 3 |
+
size 25026
|
qwen3-4b-instruct/dp3/tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
{%- 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/dp3/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/dp3/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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
qwen3-4b-instruct/dp3/train.log
ADDED
|
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|
| 1 |
+
2026-03-18 05:25:06,469 [INFO] new_opacus_codex.train_steps: epoch=1 step=10 loss=1.6915
|
| 2 |
+
2026-03-18 05:27:08,065 [INFO] new_opacus_codex.train_steps: epoch=1 step=20 loss=1.6692
|
| 3 |
+
2026-03-18 05:29:10,619 [INFO] new_opacus_codex.train_steps: epoch=1 step=30 loss=1.7137
|
| 4 |
+
2026-03-18 05:31:12,467 [INFO] new_opacus_codex.train_steps: epoch=1 step=40 loss=1.6041
|
| 5 |
+
2026-03-18 05:33:14,135 [INFO] new_opacus_codex.train_steps: epoch=1 step=50 loss=1.6079
|
| 6 |
+
2026-03-18 05:33:26,911 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=1 step=50 eval_loss=0.9748 duration_sec=12.77
|
| 7 |
+
2026-03-18 05:35:28,635 [INFO] new_opacus_codex.train_steps: epoch=1 step=60 loss=1.5953
|
| 8 |
+
2026-03-18 05:37:31,067 [INFO] new_opacus_codex.train_steps: epoch=1 step=70 loss=1.7617
|
| 9 |
+
2026-03-18 05:39:33,024 [INFO] new_opacus_codex.train_steps: epoch=1 step=80 loss=1.7465
|
| 10 |
+
2026-03-18 05:41:35,477 [INFO] new_opacus_codex.train_steps: epoch=1 step=90 loss=1.6112
|
| 11 |
+
2026-03-18 05:43:57,180 [INFO] new_opacus_codex.train_steps: epoch=2 step=100 loss=1.7602
|
| 12 |
+
2026-03-18 05:44:09,918 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=100 eval_loss=0.9495 duration_sec=12.73
|
| 13 |
+
2026-03-18 05:46:11,788 [INFO] new_opacus_codex.train_steps: epoch=2 step=110 loss=1.7710
|
| 14 |
+
2026-03-18 05:48:13,197 [INFO] new_opacus_codex.train_steps: epoch=2 step=120 loss=1.5877
|
| 15 |
+
2026-03-18 05:50:14,090 [INFO] new_opacus_codex.train_steps: epoch=2 step=130 loss=1.5471
|
| 16 |
+
2026-03-18 05:52:15,284 [INFO] new_opacus_codex.train_steps: epoch=2 step=140 loss=1.7275
|
| 17 |
+
2026-03-18 05:54:17,034 [INFO] new_opacus_codex.train_steps: epoch=2 step=150 loss=1.5942
|
| 18 |
+
2026-03-18 05:54:29,800 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=150 eval_loss=0.9416 duration_sec=12.76
|
| 19 |
+
2026-03-18 05:56:31,119 [INFO] new_opacus_codex.train_steps: epoch=2 step=160 loss=1.3974
|
| 20 |
+
2026-03-18 05:58:33,540 [INFO] new_opacus_codex.train_steps: epoch=2 step=170 loss=1.6737
|
| 21 |
+
2026-03-18 06:00:35,917 [INFO] new_opacus_codex.train_steps: epoch=2 step=180 loss=1.6957
|