Instructions to use LEAP-LAB-KUS/jevkt-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LEAP-LAB-KUS/jevkt-checkpoints with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
backup e15/F2-flat (Pod B)
Browse files- e15/F2-flat/ckpt-16000/adapter/README.md +206 -0
- e15/F2-flat/ckpt-16000/adapter/adapter_config.json +57 -0
- e15/F2-flat/ckpt-16000/adapter/adapter_model.safetensors +3 -0
- e15/F2-flat/ckpt-16000/adapter_vllm/adapter_config.json +58 -0
- e15/F2-flat/ckpt-16000/adapter_vllm/adapter_model.safetensors +3 -0
- e15/F2-flat/ckpt-16000/adapter_vllm/decision_head.json +99 -0
- e15/F2-flat/ckpt-16000/calibration.json +17 -0
- e15/F2-flat/ckpt-16000/head.safetensors +3 -0
- e15/F2-flat/ckpt-16000/judge_config.json +146 -0
- e15/F2-flat/train_log.jsonl +53 -0
e15/F2-flat/ckpt-16000/adapter/README.md
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| 1 |
+
---
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| 2 |
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base_model: /workspace/jev_kt/models/hf/JEV-9B
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| 3 |
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library_name: peft
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| 4 |
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tags:
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| 5 |
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- base_model:adapter:/workspace/jev_kt/models/hf/JEV-9B
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| 6 |
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- lora
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| 7 |
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- transformers
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| 8 |
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---
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| 9 |
+
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| 10 |
+
# Model Card for Model ID
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| 11 |
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| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
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| 13 |
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| 14 |
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| 16 |
+
## Model Details
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| 17 |
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+
### Model Description
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| 19 |
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+
<!-- Provide a longer summary of what this model is. -->
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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- **Developed by:** [More Information Needed]
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| 25 |
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- **Funded by [optional]:** [More Information Needed]
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| 26 |
+
- **Shared by [optional]:** [More Information Needed]
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| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 29 |
+
- **License:** [More Information Needed]
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| 30 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 31 |
+
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| 32 |
+
### Model Sources [optional]
|
| 33 |
+
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| 34 |
+
<!-- Provide the basic links for the model. -->
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| 35 |
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| 36 |
+
- **Repository:** [More Information Needed]
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| 37 |
+
- **Paper [optional]:** [More Information Needed]
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| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
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|
| 40 |
+
## Uses
|
| 41 |
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|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
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|
| 44 |
+
### Direct Use
|
| 45 |
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|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
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|
| 48 |
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[More Information Needed]
|
| 49 |
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|
| 50 |
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### Downstream Use [optional]
|
| 51 |
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|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
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| 54 |
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[More Information Needed]
|
| 55 |
+
|
| 56 |
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### Out-of-Scope Use
|
| 57 |
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|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
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|
| 60 |
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[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
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|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
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|
| 66 |
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[More Information Needed]
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| 67 |
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| 68 |
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### Recommendations
|
| 69 |
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| 70 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
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|
| 72 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
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|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
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| 76 |
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Use the code below to get started with the model.
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| 77 |
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| 78 |
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[More Information Needed]
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| 79 |
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| 80 |
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## Training Details
|
| 81 |
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| 82 |
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### Training Data
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| 83 |
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| 84 |
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<!-- 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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[More Information Needed]
|
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| 88 |
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### Training Procedure
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| 89 |
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| 90 |
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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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#### Preprocessing [optional]
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| 93 |
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|
| 94 |
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[More Information Needed]
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| 96 |
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| 97 |
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#### Training Hyperparameters
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| 98 |
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| 99 |
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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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#### Speeds, Sizes, Times [optional]
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| 102 |
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| 103 |
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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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[More Information Needed]
|
| 106 |
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| 107 |
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## Evaluation
|
| 108 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 111 |
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### Testing Data, Factors & Metrics
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| 112 |
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| 113 |
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#### Testing Data
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| 114 |
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| 115 |
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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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| 118 |
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| 119 |
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#### Factors
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| 120 |
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| 121 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
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| 123 |
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[More Information Needed]
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| 124 |
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| 125 |
+
#### Metrics
|
| 126 |
+
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| 127 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
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|
| 129 |
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[More Information Needed]
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| 130 |
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| 131 |
+
### Results
|
| 132 |
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| 133 |
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[More Information Needed]
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| 134 |
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|
| 135 |
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#### Summary
|
| 136 |
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|
| 137 |
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| 138 |
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| 139 |
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## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
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| 142 |
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| 143 |
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[More Information Needed]
|
| 144 |
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|
| 145 |
+
## Environmental Impact
|
| 146 |
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|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
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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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| 150 |
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| 151 |
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- **Hardware Type:** [More Information Needed]
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| 152 |
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- **Hours used:** [More Information Needed]
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| 153 |
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- **Cloud Provider:** [More Information Needed]
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| 154 |
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- **Compute Region:** [More Information Needed]
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| 155 |
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- **Carbon Emitted:** [More Information Needed]
|
| 156 |
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| 157 |
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## Technical Specifications [optional]
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| 158 |
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| 159 |
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### Model Architecture and Objective
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| 160 |
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| 161 |
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[More Information Needed]
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| 162 |
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### Compute Infrastructure
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| 164 |
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
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#### Hardware
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| 168 |
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| 169 |
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[More Information Needed]
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| 170 |
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| 171 |
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#### Software
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| 172 |
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| 173 |
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[More Information Needed]
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| 174 |
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| 175 |
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## Citation [optional]
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| 176 |
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| 177 |
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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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| 178 |
+
|
| 179 |
+
**BibTeX:**
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| 180 |
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| 181 |
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[More Information Needed]
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| 182 |
+
|
| 183 |
+
**APA:**
|
| 184 |
+
|
| 185 |
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[More Information Needed]
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| 186 |
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|
| 187 |
+
## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
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[More Information Needed]
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| 192 |
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## More Information [optional]
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| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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| 197 |
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## Model Card Authors [optional]
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| 198 |
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| 199 |
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[More Information Needed]
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| 200 |
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| 201 |
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## Model Card Contact
|
| 202 |
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| 203 |
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[More Information Needed]
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| 204 |
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### Framework versions
|
| 205 |
+
|
| 206 |
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- PEFT 0.21.2
|
e15/F2-flat/ckpt-16000/adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,57 @@
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| 1 |
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{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
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"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "Qwen3_5ForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
|
| 8 |
+
},
|
| 9 |
+
"base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
|
| 10 |
+
"bias": "none",
|
| 11 |
+
"corda_config": null,
|
| 12 |
+
"ensure_weight_tying": false,
|
| 13 |
+
"eva_config": null,
|
| 14 |
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"exclude_modules": null,
|
| 15 |
+
"fan_in_fan_out": false,
|
| 16 |
+
"inference_mode": true,
|
| 17 |
+
"init_lora_weights": true,
|
| 18 |
+
"kasa_config": null,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 32,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.05,
|
| 26 |
+
"lora_ga_config": null,
|
| 27 |
+
"megatron_config": null,
|
| 28 |
+
"megatron_core": "megatron.core",
|
| 29 |
+
"modules_to_save": null,
|
| 30 |
+
"monteclora_config": null,
|
| 31 |
+
"peft_type": "LORA",
|
| 32 |
+
"peft_version": "0.21.0",
|
| 33 |
+
"qalora_group_size": 16,
|
| 34 |
+
"r": 16,
|
| 35 |
+
"rank_pattern": {},
|
| 36 |
+
"revision": null,
|
| 37 |
+
"target_modules": [
|
| 38 |
+
"k_proj",
|
| 39 |
+
"v_proj",
|
| 40 |
+
"q_proj",
|
| 41 |
+
"out_proj",
|
| 42 |
+
"o_proj",
|
| 43 |
+
"up_proj",
|
| 44 |
+
"in_proj_z",
|
| 45 |
+
"in_proj_qkv",
|
| 46 |
+
"gate_proj",
|
| 47 |
+
"down_proj"
|
| 48 |
+
],
|
| 49 |
+
"target_parameters": null,
|
| 50 |
+
"task_type": null,
|
| 51 |
+
"trainable_token_indices": null,
|
| 52 |
+
"use_bdlora": null,
|
| 53 |
+
"use_dora": false,
|
| 54 |
+
"use_qalora": false,
|
| 55 |
+
"use_rslora": false,
|
| 56 |
+
"velora_config": null
|
| 57 |
+
}
|
e15/F2-flat/ckpt-16000/adapter/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:6318ff59528ffa5f7056555936e7b666f777cf76f563a0a2f6ffceee004b2ac0
|
| 3 |
+
size 160486456
|
e15/F2-flat/ckpt-16000/adapter_vllm/adapter_config.json
ADDED
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@@ -0,0 +1,58 @@
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|
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|
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|
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| 42 |
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|
| 58 |
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|
e15/F2-flat/ckpt-16000/adapter_vllm/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 176641832
|
e15/F2-flat/ckpt-16000/adapter_vllm/decision_head.json
ADDED
|
@@ -0,0 +1,99 @@
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| 75 |
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|
| 76 |
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| 77 |
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|
| 78 |
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|
| 79 |
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| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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| 84 |
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| 95 |
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| 96 |
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|
| 97 |
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|
| 98 |
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"note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
|
| 99 |
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|
e15/F2-flat/ckpt-16000/calibration.json
ADDED
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@@ -0,0 +1,17 @@
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| 16 |
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|
| 17 |
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|
e15/F2-flat/ckpt-16000/head.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 393464
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e15/F2-flat/ckpt-16000/judge_config.json
ADDED
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@@ -0,0 +1,146 @@
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| 1 |
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| 22 |
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| 25 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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|
| 46 |
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|
| 47 |
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| 48 |
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| 63 |
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| 64 |
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| 71 |
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| 72 |
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"kinds": [
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| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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"model_name": "jev-judge-qwen35-9b",
|
| 80 |
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"model_version": "0.8.0",
|
| 81 |
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"lm_head_included": true,
|
| 82 |
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|
| 83 |
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|
| 84 |
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| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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"target_modules": [
|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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| 93 |
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|
| 94 |
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|
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| 96 |
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|
| 97 |
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"up_proj",
|
| 98 |
+
"v_proj"
|
| 99 |
+
]
|
| 100 |
+
},
|
| 101 |
+
"trained_stage": "e15",
|
| 102 |
+
"source_checkpoint": "models/e15/F2-flat/ckpt-16000",
|
| 103 |
+
"softcap": null,
|
| 104 |
+
"e15": {
|
| 105 |
+
"data": "data/e15/F2-flat",
|
| 106 |
+
"data_manifest": {
|
| 107 |
+
"arm": "F2-syn",
|
| 108 |
+
"name": "F2-flat",
|
| 109 |
+
"train_sha256": "8a83ea2a6e0b568083c143a44d7ecb6c884d3420b983978547b9d75720048850",
|
| 110 |
+
"n_train": 64000
|
| 111 |
+
},
|
| 112 |
+
"init": "released",
|
| 113 |
+
"lr": 0.0001,
|
| 114 |
+
"lr_head": 0.0002,
|
| 115 |
+
"rows_per_step": 32,
|
| 116 |
+
"skip_rows": 0,
|
| 117 |
+
"epochs": 1,
|
| 118 |
+
"max_len": 3072,
|
| 119 |
+
"schedule": "warmup 0.03 + cosine to x0.05 over 500 steps",
|
| 120 |
+
"total_rows": 16000,
|
| 121 |
+
"lora": {
|
| 122 |
+
"r": 16,
|
| 123 |
+
"lora_alpha": 32,
|
| 124 |
+
"lora_dropout": 0.05
|
| 125 |
+
},
|
| 126 |
+
"event": "ckpt",
|
| 127 |
+
"tag": "ckpt-16000",
|
| 128 |
+
"rows_seen": 16000,
|
| 129 |
+
"step": 500,
|
| 130 |
+
"tokens": 8949001,
|
| 131 |
+
"tok_per_s": 831.5855086824548,
|
| 132 |
+
"val": {
|
| 133 |
+
"n": 2000,
|
| 134 |
+
"dropped_long": 0,
|
| 135 |
+
"noul_ce": 0.5749193429946899,
|
| 136 |
+
"kt_auc": 0.7322716618157148,
|
| 137 |
+
"kt_acc": 0.683,
|
| 138 |
+
"kt_f1": 0.7794015309672929,
|
| 139 |
+
"kt_ece": 0.028756603643298143,
|
| 140 |
+
"kt_nll": 0.5789322479655966,
|
| 141 |
+
"kt_oracle_auc": 0.8438755004041573
|
| 142 |
+
},
|
| 143 |
+
"dropped_long": 0,
|
| 144 |
+
"peak_gib": 18.237350940704346
|
| 145 |
+
}
|
| 146 |
+
}
|
e15/F2-flat/train_log.jsonl
ADDED
|
@@ -0,0 +1,53 @@
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|
| 1 |
+
{"time": "00:48:41", "event": "start", "model_dir": "/workspace/jev_kt/models/hf/JEV-9B", "init": "released", "device": "cuda", "load_s": 16.315336227416992, "trainable_lora": 40108032, "head": 98328}
|
| 2 |
+
{"time": "00:48:41", "event": "run", "data": "data/e15/F2-flat", "out": "models/e15/F2-flat"}
|
| 3 |
+
{"time": "00:52:10", "event": "step", "step": 10, "rows_seen": 320, "loss": 0.5877577364444733, "lr": 7.333333333333333e-05, "tok_per_s": 855.269736009609}
|
| 4 |
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{"time": "00:55:48", "event": "step", "step": 20, "rows_seen": 640, "loss": 0.5159218572080135, "lr": 9.997508952966197e-05, "tok_per_s": 860.6195371591518}
|
| 5 |
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{"time": "00:59:26", "event": "step", "step": 30, "rows_seen": 960, "loss": 0.5548015087842941, "lr": 9.977596250541417e-05, "tok_per_s": 860.0880892463634}
|
| 6 |
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{"time": "01:02:54", "event": "step", "step": 40, "rows_seen": 1280, "loss": 0.6564795449376106, "lr": 9.937854366485982e-05, "tok_per_s": 859.3455216368919}
|
| 7 |
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{"time": "01:06:13", "event": "step", "step": 50, "rows_seen": 1600, "loss": 0.6747086718678474, "lr": 9.8784499920729e-05, "tok_per_s": 856.4053870753925}
|
| 8 |
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{"time": "01:09:44", "event": "step", "step": 60, "rows_seen": 1920, "loss": 0.6810289993882179, "lr": 9.79963228989294e-05, "tok_per_s": 856.2979342247033}
|
| 9 |
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{"time": "01:13:08", "event": "step", "step": 70, "rows_seen": 2240, "loss": 0.5894858688116074, "lr": 9.701731848780134e-05, "tok_per_s": 857.015999149776}
|
| 10 |
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{"time": "01:16:36", "event": "step", "step": 80, "rows_seen": 2560, "loss": 0.5952880403201561, "lr": 9.585159297207315e-05, "tok_per_s": 857.0084571162397}
|
| 11 |
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|
| 12 |
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{"time": "01:23:28", "event": "step", "step": 100, "rows_seen": 3200, "loss": 0.6277467955369502, "lr": 9.298029912365855e-05, "tok_per_s": 856.8428464814812}
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 25 |
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|
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|
| 50 |
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| 53 |
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