Upload iter_0019
Browse files- .gitattributes +1 -0
- iter_0019/README.md +207 -0
- iter_0019/adapter_config.json +46 -0
- iter_0019/adapter_model.safetensors +3 -0
- iter_0019/chat_template.jinja +54 -0
- iter_0019/dual_variables.pt +3 -0
- iter_0019/log.json +362 -0
- iter_0019/tokenizer.json +3 -0
- iter_0019/tokenizer_config.json +31 -0
- iter_0019/train_state.pt +3 -0
- iter_0019/value_heads.pt +3 -0
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iter_0019/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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iter_0019/README.md
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| 1 |
+
---
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| 2 |
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base_model: Qwen/Qwen2.5-Coder-7B-Instruct
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| 3 |
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library_name: peft
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| 4 |
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:Qwen/Qwen2.5-Coder-7B-Instruct
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| 7 |
+
- lora
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| 8 |
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- 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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+
## Model Details
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| 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. -->
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| 22 |
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| 23 |
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| 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]
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| 28 |
+
- **Model type:** [More Information Needed]
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| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 30 |
+
- **License:** [More Information Needed]
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| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 32 |
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| 33 |
+
### Model Sources [optional]
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| 34 |
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| 35 |
+
<!-- Provide the basic links for the model. -->
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| 36 |
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| 37 |
+
- **Repository:** [More Information Needed]
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| 38 |
+
- **Paper [optional]:** [More Information Needed]
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| 39 |
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- **Demo [optional]:** [More Information Needed]
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| 40 |
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| 41 |
+
## Uses
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| 42 |
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| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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| 44 |
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### Direct Use
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| 46 |
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| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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| 48 |
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| 49 |
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[More Information Needed]
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| 50 |
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| 51 |
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### Downstream Use [optional]
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| 52 |
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| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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| 54 |
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| 55 |
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[More Information Needed]
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| 56 |
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| 57 |
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### Out-of-Scope Use
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| 58 |
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| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 60 |
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| 61 |
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[More Information Needed]
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| 62 |
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| 63 |
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## Bias, Risks, and Limitations
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| 64 |
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| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 66 |
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[More Information Needed]
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| 68 |
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| 69 |
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### Recommendations
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| 70 |
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| 71 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 72 |
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| 73 |
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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.
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| 74 |
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| 75 |
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## How to Get Started with the Model
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| 76 |
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Use the code below to get started with the model.
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| 78 |
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| 79 |
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[More Information Needed]
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| 80 |
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## Training Details
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| 82 |
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| 83 |
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### Training Data
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| 84 |
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| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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| 88 |
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| 89 |
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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| 92 |
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#### Preprocessing [optional]
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| 94 |
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| 95 |
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[More Information Needed]
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| 97 |
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| 98 |
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#### Training Hyperparameters
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| 99 |
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| 100 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 101 |
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| 102 |
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#### Speeds, Sizes, Times [optional]
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| 103 |
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| 104 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 105 |
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| 106 |
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[More Information Needed]
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| 107 |
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| 108 |
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## Evaluation
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| 109 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 111 |
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| 112 |
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### Testing Data, Factors & Metrics
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| 113 |
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| 114 |
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#### Testing Data
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| 115 |
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| 116 |
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<!-- This should link to a Dataset Card if possible. -->
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| 117 |
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| 118 |
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[More Information Needed]
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| 119 |
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| 120 |
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#### Factors
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| 121 |
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| 122 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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| 123 |
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| 124 |
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[More Information Needed]
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| 125 |
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| 126 |
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#### Metrics
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| 127 |
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| 128 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 129 |
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[More Information Needed]
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| 132 |
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### Results
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| 133 |
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| 134 |
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[More Information Needed]
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| 135 |
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| 136 |
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#### Summary
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| 137 |
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| 138 |
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| 139 |
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## Model Examination [optional]
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| 141 |
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| 142 |
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<!-- Relevant interpretability work for the model goes here -->
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| 143 |
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| 144 |
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[More Information Needed]
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| 145 |
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| 146 |
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## Environmental Impact
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| 147 |
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| 148 |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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| 149 |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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| 151 |
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| 152 |
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- **Hardware Type:** [More Information Needed]
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| 153 |
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- **Hours used:** [More Information Needed]
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| 154 |
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- **Cloud Provider:** [More Information Needed]
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| 155 |
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- **Compute Region:** [More Information Needed]
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| 156 |
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- **Carbon Emitted:** [More Information Needed]
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| 157 |
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| 158 |
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## Technical Specifications [optional]
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| 159 |
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### Model Architecture and Objective
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| 161 |
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[More Information Needed]
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| 163 |
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### Compute Infrastructure
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| 165 |
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[More Information Needed]
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| 167 |
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#### Hardware
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| 169 |
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[More Information Needed]
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#### Software
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| 173 |
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[More Information Needed]
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## Citation [optional]
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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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| 179 |
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**BibTeX:**
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| 181 |
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[More Information Needed]
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| 183 |
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**APA:**
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| 185 |
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| 186 |
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[More Information Needed]
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| 187 |
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| 188 |
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## Glossary [optional]
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| 189 |
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| 190 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 191 |
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[More Information Needed]
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| 193 |
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## More Information [optional]
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| 195 |
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[More Information Needed]
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## Model Card Authors [optional]
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| 199 |
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[More Information Needed]
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## Model Card Contact
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| 203 |
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| 204 |
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[More Information Needed]
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| 205 |
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### Framework versions
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| 206 |
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| 207 |
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- PEFT 0.18.1
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iter_0019/adapter_config.json
ADDED
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
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| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": null,
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| 6 |
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"base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
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| 7 |
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"bias": "none",
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| 8 |
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"corda_config": null,
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| 9 |
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"ensure_weight_tying": false,
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| 10 |
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"eva_config": null,
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| 11 |
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"exclude_modules": null,
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| 12 |
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"fan_in_fan_out": false,
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| 13 |
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"inference_mode": true,
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| 14 |
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"init_lora_weights": true,
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| 15 |
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"layer_replication": null,
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| 16 |
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"layers_pattern": null,
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| 17 |
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"layers_to_transform": null,
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| 18 |
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"loftq_config": {},
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| 19 |
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"lora_alpha": 32,
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| 20 |
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"lora_bias": false,
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| 21 |
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"lora_dropout": 0.0,
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| 22 |
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"megatron_config": null,
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| 23 |
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"megatron_core": "megatron.core",
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| 24 |
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"modules_to_save": null,
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| 25 |
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"peft_type": "LORA",
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| 26 |
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"peft_version": "0.18.1",
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| 27 |
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"qalora_group_size": 16,
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| 28 |
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"r": 16,
|
| 29 |
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"rank_pattern": {},
|
| 30 |
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"revision": null,
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| 31 |
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"target_modules": [
|
| 32 |
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"up_proj",
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| 33 |
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"v_proj",
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| 34 |
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"o_proj",
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| 35 |
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"gate_proj",
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| 36 |
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"down_proj",
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| 37 |
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"k_proj",
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| 38 |
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"q_proj"
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| 39 |
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],
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| 40 |
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"target_parameters": null,
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| 41 |
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"task_type": "CAUSAL_LM",
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| 42 |
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"trainable_token_indices": null,
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| 43 |
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"use_dora": false,
|
| 44 |
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"use_qalora": false,
|
| 45 |
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"use_rslora": false
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| 46 |
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}
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iter_0019/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:99cf2f493d30e61250d5054df22dfb9971e4091f9da966b8ec70fff1df576cba
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size 161533192
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iter_0019/chat_template.jinja
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{%- if tools %}
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| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
iter_0019/dual_variables.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a2e3774d94a62cd1b686b652a8b022a78337730903e2d54e6e0d0baaaf61bcbc
|
| 3 |
+
size 1020
|
iter_0019/log.json
ADDED
|
@@ -0,0 +1,362 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"iteration": 0,
|
| 4 |
+
"elapsed_s": 283.72707653045654,
|
| 5 |
+
"lambda1": 0.0,
|
| 6 |
+
"lambda2": 0.0,
|
| 7 |
+
"n_episodes": 32,
|
| 8 |
+
"avg_reward": 0.6677320075757578,
|
| 9 |
+
"avg_questions": 0.71875,
|
| 10 |
+
"avg_turns": 1.6875,
|
| 11 |
+
"ppo_loss": -0.0012642779620364308,
|
| 12 |
+
"value_loss": 0.9520214434180941,
|
| 13 |
+
"approx_kl": 0.009626129126575376,
|
| 14 |
+
"clip_frac": 0.18303571481789863,
|
| 15 |
+
"entropy": 0.25815688552600996,
|
| 16 |
+
"kl_penalty": 0.011675153459821428,
|
| 17 |
+
"kl_per_seq": 0.011675153459821428,
|
| 18 |
+
"kl_seq_max": 0.18973214285714285
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"iteration": 1,
|
| 22 |
+
"elapsed_s": 265.6153476238251,
|
| 23 |
+
"lambda1": 0.0,
|
| 24 |
+
"lambda2": 0.0,
|
| 25 |
+
"n_episodes": 32,
|
| 26 |
+
"avg_reward": 0.6511522331834831,
|
| 27 |
+
"avg_questions": 0.75,
|
| 28 |
+
"avg_turns": 1.71875,
|
| 29 |
+
"ppo_loss": -0.02305267165814127,
|
| 30 |
+
"value_loss": 0.3821369180721896,
|
| 31 |
+
"approx_kl": 0.006722210083223347,
|
| 32 |
+
"clip_frac": 0.09438775533011981,
|
| 33 |
+
"entropy": 0.22343750271414006,
|
| 34 |
+
"kl_penalty": 0.010663713727678572,
|
| 35 |
+
"kl_per_seq": 0.010663713727678572,
|
| 36 |
+
"kl_seq_max": 0.14174107142857142
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"iteration": 2,
|
| 40 |
+
"elapsed_s": 283.4707496166229,
|
| 41 |
+
"lambda1": 0.0,
|
| 42 |
+
"lambda2": 0.0,
|
| 43 |
+
"n_episodes": 32,
|
| 44 |
+
"avg_reward": 0.6145833333333333,
|
| 45 |
+
"avg_questions": 0.71875,
|
| 46 |
+
"avg_turns": 1.6875,
|
| 47 |
+
"ppo_loss": 0.0003246570039274437,
|
| 48 |
+
"value_loss": 0.5281469119446618,
|
| 49 |
+
"approx_kl": 0.005086135942422386,
|
| 50 |
+
"clip_frac": 0.0595238097012043,
|
| 51 |
+
"entropy": 0.20671099424362183,
|
| 52 |
+
"kl_penalty": 0.022153581891741072,
|
| 53 |
+
"kl_per_seq": 0.022153581891741072,
|
| 54 |
+
"kl_seq_max": 0.15959821428571427
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"iteration": 3,
|
| 58 |
+
"elapsed_s": 277.0273263454437,
|
| 59 |
+
"lambda1": 0.0,
|
| 60 |
+
"lambda2": 0.0,
|
| 61 |
+
"n_episodes": 32,
|
| 62 |
+
"avg_reward": 0.8185267857142857,
|
| 63 |
+
"avg_questions": 0.875,
|
| 64 |
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"avg_turns": 1.84375,
|
| 65 |
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"ppo_loss": 0.017307979986071587,
|
| 66 |
+
"value_loss": 0.2391173227224499,
|
| 67 |
+
"approx_kl": 0.006241402057639789,
|
| 68 |
+
"clip_frac": 0.0859375,
|
| 69 |
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"entropy": 0.24670861288905144,
|
| 70 |
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"kl_penalty": 0.0052337646484375,
|
| 71 |
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"kl_per_seq": 0.0052337646484375,
|
| 72 |
+
"kl_seq_max": 0.130126953125
|
| 73 |
+
},
|
| 74 |
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{
|
| 75 |
+
"iteration": 4,
|
| 76 |
+
"elapsed_s": 286.0855031013489,
|
| 77 |
+
"lambda1": 0.0,
|
| 78 |
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"lambda2": 0.0,
|
| 79 |
+
"n_episodes": 32,
|
| 80 |
+
"avg_reward": 0.6283482142857142,
|
| 81 |
+
"avg_questions": 0.875,
|
| 82 |
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"avg_turns": 1.875,
|
| 83 |
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"ppo_loss": -0.023693807190284133,
|
| 84 |
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"value_loss": 0.23578157555311918,
|
| 85 |
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"approx_kl": 0.006290083052590489,
|
| 86 |
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"clip_frac": 0.08984375,
|
| 87 |
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"entropy": 0.2442768611945212,
|
| 88 |
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"kl_penalty": 0.013458251953125,
|
| 89 |
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"kl_per_seq": 0.013458251953125,
|
| 90 |
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"kl_seq_max": 0.13818359375
|
| 91 |
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},
|
| 92 |
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{
|
| 93 |
+
"iteration": 5,
|
| 94 |
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"elapsed_s": 242.1764998435974,
|
| 95 |
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"lambda1": 0.0,
|
| 96 |
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"lambda2": 0.0,
|
| 97 |
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"n_episodes": 32,
|
| 98 |
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"avg_reward": 0.7465401785714285,
|
| 99 |
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|
| 100 |
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"avg_turns": 1.78125,
|
| 101 |
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"ppo_loss": -0.0412354568640391,
|
| 102 |
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"value_loss": 0.36194167503466207,
|
| 103 |
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"approx_kl": 0.02360554877668619,
|
| 104 |
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"clip_frac": 0.21354166666666666,
|
| 105 |
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"entropy": 0.28217028516034287,
|
| 106 |
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"kl_penalty": 0.044108072916666664,
|
| 107 |
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"kl_per_seq": 0.044108072916666664,
|
| 108 |
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"kl_seq_max": 0.22916666666666666
|
| 109 |
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},
|
| 110 |
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{
|
| 111 |
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"iteration": 6,
|
| 112 |
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"elapsed_s": 297.9436032772064,
|
| 113 |
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"lambda1": 0.0,
|
| 114 |
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"lambda2": 0.0,
|
| 115 |
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"n_episodes": 32,
|
| 116 |
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"avg_reward": 0.6431051587301587,
|
| 117 |
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"avg_questions": 0.84375,
|
| 118 |
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"avg_turns": 1.84375,
|
| 119 |
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"ppo_loss": -0.01692520675715059,
|
| 120 |
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"value_loss": 0.28041012212634087,
|
| 121 |
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"approx_kl": 0.006847011674835812,
|
| 122 |
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"clip_frac": 0.11197916697710752,
|
| 123 |
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"entropy": 0.25802480173297226,
|
| 124 |
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"kl_penalty": 0.01638031005859375,
|
| 125 |
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"kl_per_seq": 0.01638031005859375,
|
| 126 |
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"kl_seq_max": 0.14501953125
|
| 127 |
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},
|
| 128 |
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{
|
| 129 |
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"iteration": 7,
|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
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