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 e16/S1-E19-a1-n16k-soft-a100-syn (Pod B)
Browse files- e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter/README.md +206 -0
- e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter/adapter_config.json +57 -0
- e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter/adapter_model.safetensors +3 -0
- e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter_vllm/adapter_config.json +58 -0
- e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter_vllm/adapter_model.safetensors +3 -0
- e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter_vllm/decision_head.json +99 -0
- e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/calibration.json +29 -0
- e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/head.safetensors +3 -0
- e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/judge_config.json +164 -0
- e16/S1-E19-a1-n16k-soft-a100-syn/train_log.jsonl +57 -0
e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter/README.md
ADDED
|
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /workspace/jev_kt/models/hf/JEV-9B
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- base_model:adapter:/workspace/jev_kt/models/hf/JEV-9B
|
| 6 |
+
- lora
|
| 7 |
+
- transformers
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Model Card for Model ID
|
| 11 |
+
|
| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
## Model Details
|
| 17 |
+
|
| 18 |
+
### Model Description
|
| 19 |
+
|
| 20 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
- **Developed by:** [More Information Needed]
|
| 25 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
|
| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
+
|
| 40 |
+
## Uses
|
| 41 |
+
|
| 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 |
+
|
| 44 |
+
### Direct Use
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Downstream Use [optional]
|
| 51 |
+
|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
### Out-of-Scope Use
|
| 57 |
+
|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
+
|
| 66 |
+
[More Information Needed]
|
| 67 |
+
|
| 68 |
+
### Recommendations
|
| 69 |
+
|
| 70 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
+
|
| 72 |
+
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 |
+
|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
+
|
| 76 |
+
Use the code below to get started with the model.
|
| 77 |
+
|
| 78 |
+
[More Information Needed]
|
| 79 |
+
|
| 80 |
+
## Training Details
|
| 81 |
+
|
| 82 |
+
### Training Data
|
| 83 |
+
|
| 84 |
+
<!-- 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. -->
|
| 85 |
+
|
| 86 |
+
[More Information Needed]
|
| 87 |
+
|
| 88 |
+
### Training Procedure
|
| 89 |
+
|
| 90 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 91 |
+
|
| 92 |
+
#### Preprocessing [optional]
|
| 93 |
+
|
| 94 |
+
[More Information Needed]
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
#### Training Hyperparameters
|
| 98 |
+
|
| 99 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 100 |
+
|
| 101 |
+
#### Speeds, Sizes, Times [optional]
|
| 102 |
+
|
| 103 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 104 |
+
|
| 105 |
+
[More Information Needed]
|
| 106 |
+
|
| 107 |
+
## Evaluation
|
| 108 |
+
|
| 109 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 110 |
+
|
| 111 |
+
### Testing Data, Factors & Metrics
|
| 112 |
+
|
| 113 |
+
#### Testing Data
|
| 114 |
+
|
| 115 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Factors
|
| 120 |
+
|
| 121 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
#### Metrics
|
| 126 |
+
|
| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Results
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
+
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).
|
| 150 |
+
|
| 151 |
+
- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 156 |
+
|
| 157 |
+
## Technical Specifications [optional]
|
| 158 |
+
|
| 159 |
+
### Model Architecture and Objective
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
### Compute Infrastructure
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Hardware
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Software
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
## Citation [optional]
|
| 176 |
+
|
| 177 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 178 |
+
|
| 179 |
+
**BibTeX:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
**APA:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 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 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## More Information [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Authors [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Contact
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
- PEFT 0.21.2
|
e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"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 |
+
"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 |
+
"up_proj",
|
| 39 |
+
"in_proj_qkv",
|
| 40 |
+
"down_proj",
|
| 41 |
+
"q_proj",
|
| 42 |
+
"out_proj",
|
| 43 |
+
"in_proj_z",
|
| 44 |
+
"v_proj",
|
| 45 |
+
"o_proj",
|
| 46 |
+
"gate_proj",
|
| 47 |
+
"k_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 |
+
}
|
e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:49d4573e5a94df870f77126a3dce9abe8c047a6eefb604b20a3d0f3ab0719794
|
| 3 |
+
size 160486456
|
e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter_vllm/adapter_config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"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": null,
|
| 10 |
+
"bias": "none",
|
| 11 |
+
"corda_config": null,
|
| 12 |
+
"ensure_weight_tying": false,
|
| 13 |
+
"eva_config": null,
|
| 14 |
+
"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": 64.0,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.0,
|
| 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": 32,
|
| 35 |
+
"rank_pattern": {},
|
| 36 |
+
"revision": null,
|
| 37 |
+
"target_modules": [
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj",
|
| 40 |
+
"in_proj_qkv",
|
| 41 |
+
"in_proj_z",
|
| 42 |
+
"k_proj",
|
| 43 |
+
"lm_head",
|
| 44 |
+
"o_proj",
|
| 45 |
+
"out_proj",
|
| 46 |
+
"q_proj",
|
| 47 |
+
"up_proj",
|
| 48 |
+
"v_proj"
|
| 49 |
+
],
|
| 50 |
+
"target_parameters": null,
|
| 51 |
+
"task_type": null,
|
| 52 |
+
"trainable_token_indices": null,
|
| 53 |
+
"use_bdlora": null,
|
| 54 |
+
"use_dora": false,
|
| 55 |
+
"use_qalora": false,
|
| 56 |
+
"use_rslora": false,
|
| 57 |
+
"velora_config": null
|
| 58 |
+
}
|
e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter_vllm/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:15e7fe1750d6ebd0f6c036a2c8977354c0bf5493aff3d62e746713af834ad88c
|
| 3 |
+
size 176641832
|
e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/adapter_vllm/decision_head.json
ADDED
|
@@ -0,0 +1,99 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bias": [
|
| 3 |
+
0.0006658267229795456,
|
| 4 |
+
-0.0006660837680101395,
|
| 5 |
+
-0.0022681518457829952,
|
| 6 |
+
-0.0012672654120251536,
|
| 7 |
+
-0.00044467038242146373,
|
| 8 |
+
0.0018637655302882195,
|
| 9 |
+
0.001113274833187461,
|
| 10 |
+
-0.0023357649333775043,
|
| 11 |
+
-0.0004471878055483103,
|
| 12 |
+
-0.00019837715080939233,
|
| 13 |
+
5.3723335440736264e-05,
|
| 14 |
+
0.0004352069809101522,
|
| 15 |
+
-0.00019835689454339445,
|
| 16 |
+
-0.0034517450258135796,
|
| 17 |
+
-0.004249265417456627,
|
| 18 |
+
-0.005067416932433844,
|
| 19 |
+
-0.005925778765231371,
|
| 20 |
+
-0.004341768566519022,
|
| 21 |
+
-0.0049264864064753056,
|
| 22 |
+
-0.004925806075334549,
|
| 23 |
+
-0.0038481371011584997,
|
| 24 |
+
-0.003338830778375268,
|
| 25 |
+
-0.005609303712844849,
|
| 26 |
+
-0.003459909465163946
|
| 27 |
+
],
|
| 28 |
+
"verbalizer_ids": [
|
| 29 |
+
3721,
|
| 30 |
+
1802,
|
| 31 |
+
15,
|
| 32 |
+
16,
|
| 33 |
+
17,
|
| 34 |
+
18,
|
| 35 |
+
19,
|
| 36 |
+
20,
|
| 37 |
+
32,
|
| 38 |
+
33,
|
| 39 |
+
34,
|
| 40 |
+
35,
|
| 41 |
+
36,
|
| 42 |
+
37,
|
| 43 |
+
38,
|
| 44 |
+
39,
|
| 45 |
+
40,
|
| 46 |
+
41,
|
| 47 |
+
42,
|
| 48 |
+
43,
|
| 49 |
+
44,
|
| 50 |
+
45,
|
| 51 |
+
46,
|
| 52 |
+
47
|
| 53 |
+
],
|
| 54 |
+
"slots": {
|
| 55 |
+
"num_slots": 24,
|
| 56 |
+
"ranges": {
|
| 57 |
+
"noul": [
|
| 58 |
+
0,
|
| 59 |
+
2
|
| 60 |
+
],
|
| 61 |
+
"score": [
|
| 62 |
+
2,
|
| 63 |
+
8
|
| 64 |
+
],
|
| 65 |
+
"choice": [
|
| 66 |
+
8,
|
| 67 |
+
24
|
| 68 |
+
]
|
| 69 |
+
},
|
| 70 |
+
"verbalizers": [
|
| 71 |
+
"false",
|
| 72 |
+
"true",
|
| 73 |
+
"0",
|
| 74 |
+
"1",
|
| 75 |
+
"2",
|
| 76 |
+
"3",
|
| 77 |
+
"4",
|
| 78 |
+
"5",
|
| 79 |
+
"A",
|
| 80 |
+
"B",
|
| 81 |
+
"C",
|
| 82 |
+
"D",
|
| 83 |
+
"E",
|
| 84 |
+
"F",
|
| 85 |
+
"G",
|
| 86 |
+
"H",
|
| 87 |
+
"I",
|
| 88 |
+
"J",
|
| 89 |
+
"K",
|
| 90 |
+
"L",
|
| 91 |
+
"M",
|
| 92 |
+
"N",
|
| 93 |
+
"O",
|
| 94 |
+
"P"
|
| 95 |
+
],
|
| 96 |
+
"template_version": "bare-v1"
|
| 97 |
+
},
|
| 98 |
+
"note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
|
| 99 |
+
}
|
e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/calibration.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": 1,
|
| 3 |
+
"per_kind": {
|
| 4 |
+
"noul": 0.9114489262835489,
|
| 5 |
+
"choice": 1.057254374772595,
|
| 6 |
+
"score": 0.9152068187959267
|
| 7 |
+
},
|
| 8 |
+
"fit": {
|
| 9 |
+
"noul": {
|
| 10 |
+
"n": 1087,
|
| 11 |
+
"T": 0.9114489262835489,
|
| 12 |
+
"ce_before": 0.6224223375320435,
|
| 13 |
+
"ce_after": 0.6220250129699707
|
| 14 |
+
},
|
| 15 |
+
"choice": {
|
| 16 |
+
"n": 60,
|
| 17 |
+
"T": 1.057254374772595,
|
| 18 |
+
"ce_before": 0.6652951836585999,
|
| 19 |
+
"ce_after": 0.6645907759666443
|
| 20 |
+
},
|
| 21 |
+
"score": {
|
| 22 |
+
"n": 53,
|
| 23 |
+
"T": 0.9152068187959267,
|
| 24 |
+
"ce_before": 1.0459662675857544,
|
| 25 |
+
"ce_after": 1.0437508821487427
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"source": "models/e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000"
|
| 29 |
+
}
|
e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/head.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ca3b3463fd64e184a919b16e233b3ecbacb5fa161270834bd4b9a99e0f1eb6db
|
| 3 |
+
size 393464
|
e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000/judge_config.json
ADDED
|
@@ -0,0 +1,164 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_model_path": "/root/models/Qwen3.5-9B",
|
| 3 |
+
"hidden_size": 4096,
|
| 4 |
+
"slots": {
|
| 5 |
+
"num_slots": 24,
|
| 6 |
+
"ranges": {
|
| 7 |
+
"noul": [
|
| 8 |
+
0,
|
| 9 |
+
2
|
| 10 |
+
],
|
| 11 |
+
"score": [
|
| 12 |
+
2,
|
| 13 |
+
8
|
| 14 |
+
],
|
| 15 |
+
"choice": [
|
| 16 |
+
8,
|
| 17 |
+
24
|
| 18 |
+
]
|
| 19 |
+
},
|
| 20 |
+
"verbalizers": [
|
| 21 |
+
"false",
|
| 22 |
+
"true",
|
| 23 |
+
"0",
|
| 24 |
+
"1",
|
| 25 |
+
"2",
|
| 26 |
+
"3",
|
| 27 |
+
"4",
|
| 28 |
+
"5",
|
| 29 |
+
"A",
|
| 30 |
+
"B",
|
| 31 |
+
"C",
|
| 32 |
+
"D",
|
| 33 |
+
"E",
|
| 34 |
+
"F",
|
| 35 |
+
"G",
|
| 36 |
+
"H",
|
| 37 |
+
"I",
|
| 38 |
+
"J",
|
| 39 |
+
"K",
|
| 40 |
+
"L",
|
| 41 |
+
"M",
|
| 42 |
+
"N",
|
| 43 |
+
"O",
|
| 44 |
+
"P"
|
| 45 |
+
],
|
| 46 |
+
"template_version": "bare-v1"
|
| 47 |
+
},
|
| 48 |
+
"verbalizer_ids": [
|
| 49 |
+
3721,
|
| 50 |
+
1802,
|
| 51 |
+
15,
|
| 52 |
+
16,
|
| 53 |
+
17,
|
| 54 |
+
18,
|
| 55 |
+
19,
|
| 56 |
+
20,
|
| 57 |
+
32,
|
| 58 |
+
33,
|
| 59 |
+
34,
|
| 60 |
+
35,
|
| 61 |
+
36,
|
| 62 |
+
37,
|
| 63 |
+
38,
|
| 64 |
+
39,
|
| 65 |
+
40,
|
| 66 |
+
41,
|
| 67 |
+
42,
|
| 68 |
+
43,
|
| 69 |
+
44,
|
| 70 |
+
45,
|
| 71 |
+
46,
|
| 72 |
+
47
|
| 73 |
+
],
|
| 74 |
+
"kinds": [
|
| 75 |
+
"noul",
|
| 76 |
+
"choice",
|
| 77 |
+
"score"
|
| 78 |
+
],
|
| 79 |
+
"model_name": "jev-judge-qwen35-9b",
|
| 80 |
+
"model_version": "0.8.0",
|
| 81 |
+
"lm_head_included": true,
|
| 82 |
+
"weights_mode": "unmerged",
|
| 83 |
+
"adapter_subfolder": "adapter",
|
| 84 |
+
"lora": {
|
| 85 |
+
"r": 16,
|
| 86 |
+
"lora_alpha": 32,
|
| 87 |
+
"lora_dropout": 0.05,
|
| 88 |
+
"target_modules": [
|
| 89 |
+
"down_proj",
|
| 90 |
+
"gate_proj",
|
| 91 |
+
"in_proj_qkv",
|
| 92 |
+
"in_proj_z",
|
| 93 |
+
"k_proj",
|
| 94 |
+
"o_proj",
|
| 95 |
+
"out_proj",
|
| 96 |
+
"q_proj",
|
| 97 |
+
"up_proj",
|
| 98 |
+
"v_proj"
|
| 99 |
+
]
|
| 100 |
+
},
|
| 101 |
+
"trained_stage": "e16",
|
| 102 |
+
"source_checkpoint": "models/e16/S1-E19-a1-n16k-soft-a100-syn/ckpt-16000",
|
| 103 |
+
"softcap": null,
|
| 104 |
+
"e16": {
|
| 105 |
+
"data": "data/e19/E19-a1-n16k-soft-a100",
|
| 106 |
+
"data_manifest": {
|
| 107 |
+
"arm": "E19-a1-n16k-soft-a100",
|
| 108 |
+
"name": null,
|
| 109 |
+
"train_sha256": "26c76407ec87e34f18ef4d716b29e42a18588832bf6066becc156828e266fd8d",
|
| 110 |
+
"n_train": 16000
|
| 111 |
+
},
|
| 112 |
+
"init": "released",
|
| 113 |
+
"objective": "s-log",
|
| 114 |
+
"sigma": 0.5,
|
| 115 |
+
"K": 8,
|
| 116 |
+
"reward": "brier",
|
| 117 |
+
"clip": 0.2,
|
| 118 |
+
"passes": 1,
|
| 119 |
+
"lr": 0.0001,
|
| 120 |
+
"lr_head": 0.0002,
|
| 121 |
+
"rows_per_step": 32,
|
| 122 |
+
"train_seed": 0,
|
| 123 |
+
"replay": "data/e16/replay/train.jsonl",
|
| 124 |
+
"replay_frac": 0.05,
|
| 125 |
+
"replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e",
|
| 126 |
+
"max_len": 3072,
|
| 127 |
+
"schedule": "warmup 0.03 + cosine to x0.05 over 500 steps",
|
| 128 |
+
"total_rows": 16000,
|
| 129 |
+
"lora": {
|
| 130 |
+
"r": 16,
|
| 131 |
+
"lora_alpha": 32,
|
| 132 |
+
"lora_dropout": 0.05
|
| 133 |
+
},
|
| 134 |
+
"trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4",
|
| 135 |
+
"event": "ckpt",
|
| 136 |
+
"tag": "ckpt-16000",
|
| 137 |
+
"rows_seen": 16000,
|
| 138 |
+
"replay_seen": 842,
|
| 139 |
+
"step": 500,
|
| 140 |
+
"tokens": 8943984,
|
| 141 |
+
"tok_per_s": 799.8102136880569,
|
| 142 |
+
"rows_per_s": 1.5060853878070437,
|
| 143 |
+
"val": {
|
| 144 |
+
"n": 1200,
|
| 145 |
+
"dropped_long": 0,
|
| 146 |
+
"noul_ce": 0.6224223375320435,
|
| 147 |
+
"noul_T": 0.9114489262835489,
|
| 148 |
+
"choice_ce": 0.6652951836585999,
|
| 149 |
+
"choice_T": 1.057254374772595,
|
| 150 |
+
"score_ce": 1.0459662675857544,
|
| 151 |
+
"score_T": 0.9152068187959267,
|
| 152 |
+
"noul_auc": 0.7117696,
|
| 153 |
+
"noul_acc": 0.655,
|
| 154 |
+
"noul_f1": 0.7048759623609923,
|
| 155 |
+
"noul_nll": 0.6312288008481264,
|
| 156 |
+
"noul_ece": 0.13414508992433546,
|
| 157 |
+
"noul_brier": 0.22015866136246331,
|
| 158 |
+
"noul_sharp": 0.12622646987438202,
|
| 159 |
+
"entropy": 0.6429359316825867
|
| 160 |
+
},
|
| 161 |
+
"dropped_long": 0,
|
| 162 |
+
"peak_gib": 18.235705852508545
|
| 163 |
+
}
|
| 164 |
+
}
|
e16/S1-E19-a1-n16k-soft-a100-syn/train_log.jsonl
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time": "11:42:52", "event": "start", "data": "data/e19/E19-a1-n16k-soft-a100", "data_manifest": {"arm": "E19-a1-n16k-soft-a100", "name": null, "train_sha256": "26c76407ec87e34f18ef4d716b29e42a18588832bf6066becc156828e266fd8d", "n_train": 16000}, "init": "released", "objective": "s-log", "sigma": 0.5, "K": 8, "reward": "brier", "clip": 0.2, "passes": 1, "lr": 0.0001, "lr_head": 0.0002, "rows_per_step": 32, "train_seed": 0, "replay": "data/e16/replay/train.jsonl", "replay_frac": 0.05, "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e", "max_len": 3072, "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps", "total_rows": 16000, "lora": {"r": 16, "lora_alpha": 32, "lora_dropout": 0.05}, "trainer_sha256": "bc7c08e836bd99bb2665b02903cd41404ea029ecfa9b68a9ec1a7cda96958ba4", "device": "cuda", "load_s": 87.39138960838318}
|
| 2 |
+
{"time": "11:46:24", "event": "step", "step": 10, "rows_seen": 320, "lr": 7.333333333333333e-05, "tok_per_s": 833.045002964947, "loss": 0.588922917842865, "entropy": 0.6021130159497261, "sharp": 0.17588666453957558}
|
| 3 |
+
{"time": "11:49:56", "event": "step", "step": 20, "rows_seen": 640, "lr": 9.997508952966197e-05, "tok_per_s": 838.5924052389523, "loss": 0.6846533715724945, "entropy": 0.6910380870103836, "sharp": 0.02306802850216627}
|
| 4 |
+
{"time": "11:53:18", "event": "step", "step": 30, "rows_seen": 960, "lr": 9.977596250541417e-05, "tok_per_s": 841.6301510007838, "loss": 0.6661521978676319, "entropy": 0.5978059396147728, "sharp": 0.20922003965824842}
|
| 5 |
+
{"time": "11:56:50", "event": "step", "step": 40, "rows_seen": 1280, "lr": 9.937854366485982e-05, "tok_per_s": 844.8019385424639, "loss": 0.672111114487052, "entropy": 0.5462029725313187, "sharp": 0.2420680020004511}
|
| 6 |
+
{"time": "12:00:21", "event": "step", "step": 50, "rows_seen": 1600, "lr": 9.8784499920729e-05, "tok_per_s": 847.1717991932633, "loss": 0.6684608198702335, "entropy": 0.6568677686154842, "sharp": 0.11821198370307684}
|
| 7 |
+
{"time": "12:03:56", "event": "step", "step": 60, "rows_seen": 1920, "lr": 9.79963228989294e-05, "tok_per_s": 848.6487143984357, "loss": 0.552405945956707, "entropy": 0.5897898375988007, "sharp": 0.20209896843880415}
|
| 8 |
+
{"time": "12:07:22", "event": "step", "step": 70, "rows_seen": 2240, "lr": 9.701731848780134e-05, "tok_per_s": 847.7344429147342, "loss": 0.5188641361892223, "entropy": 0.6364869475364685, "sharp": 0.13697880692780018}
|
| 9 |
+
{"time": "12:10:53", "event": "step", "step": 80, "rows_seen": 2560, "lr": 9.585159297207315e-05, "tok_per_s": 847.9683708874908, "loss": 0.6211176682263613, "entropy": 0.620494456961751, "sharp": 0.14520255476236343}
|
| 10 |
+
{"time": "12:14:33", "event": "step", "step": 90, "rows_seen": 2880, "lr": 9.450403580967612e-05, "tok_per_s": 848.5730778642486, "loss": 0.5867630913853645, "entropy": 0.5737877376377583, "sharp": 0.2130492264404893}
|
| 11 |
+
{"time": "12:18:02", "event": "step", "step": 100, "rows_seen": 3200, "lr": 9.298029912365855e-05, "tok_per_s": 847.8368070077156, "loss": 0.5943211764097214, "entropy": 0.5628568381071091, "sharp": 0.22679613903164864}
|
| 12 |
+
{"time": "12:19:31", "event": "val", "step": 100, "rows_seen": 3200, "n": 500, "dropped_long": 0, "noul_ce": 0.5962151885032654, "noul_T": 0.855300576648382, "noul_auc": 0.7396162090091306, "noul_acc": 0.7, "noul_f1": 0.7648902821316614, "noul_nll": 0.5883893258273601, "noul_ece": 0.08294241684675217, "noul_brier": 0.19997528592409883, "noul_sharp": 0.1696518510580063, "entropy": 0.6174163222312927}
|
| 13 |
+
{"time": "12:23:03", "event": "step", "step": 110, "rows_seen": 3520, "lr": 9.128677399521752e-05, "tok_per_s": 816.8766375980072, "loss": 0.5991598144173622, "entropy": 0.5670166835188866, "sharp": 0.22352871671319008}
|
| 14 |
+
{"time": "12:26:35", "event": "step", "step": 120, "rows_seen": 3840, "lr": 8.943056365728335e-05, "tok_per_s": 819.1960774745488, "loss": 0.585709735751152, "entropy": 0.608031690120697, "sharp": 0.1612020917236805}
|
| 15 |
+
{"time": "12:30:11", "event": "step", "step": 130, "rows_seen": 4160, "lr": 8.741945370109202e-05, "tok_per_s": 821.1672654573591, "loss": 0.5629651173949242, "entropy": 0.6097195222973824, "sharp": 0.17390846461057663}
|
| 16 |
+
{"time": "12:33:46", "event": "step", "step": 140, "rows_seen": 4480, "lr": 8.526187942070997e-05, "tok_per_s": 823.1869020762318, "loss": 0.5362141355872154, "entropy": 0.6094481460750103, "sharp": 0.18048185296356678}
|
| 17 |
+
{"time": "12:37:22", "event": "step", "step": 150, "rows_seen": 4800, "lr": 8.296689043247915e-05, "tok_per_s": 824.6688560820248, "loss": 0.5523114912211895, "entropy": 0.5417928174138069, "sharp": 0.23383033648133278}
|
| 18 |
+
{"time": "12:40:57", "event": "step", "step": 160, "rows_seen": 5120, "lr": 8.054411271778132e-05, "tok_per_s": 825.9575083602982, "loss": 0.5794190187007189, "entropy": 0.5382421314716339, "sharp": 0.23697717301547527}
|
| 19 |
+
{"time": "12:44:30", "event": "step", "step": 170, "rows_seen": 5440, "lr": 7.800370824832674e-05, "tok_per_s": 826.9842393305223, "loss": 0.6229254510253668, "entropy": 0.41902289167046547, "sharp": 0.30930429697036743}
|
| 20 |
+
{"time": "12:48:03", "event": "step", "step": 180, "rows_seen": 5760, "lr": 7.535633236331324e-05, "tok_per_s": 828.370290529386, "loss": 0.49636731296777725, "entropy": 0.6162767820060253, "sharp": 0.1822980809956789}
|
| 21 |
+
{"time": "12:51:33", "event": "step", "step": 190, "rows_seen": 6080, "lr": 7.26130890772308e-05, "tok_per_s": 829.2403496425219, "loss": 0.49741293862462044, "entropy": 0.511407520622015, "sharp": 0.27605065517127514}
|
| 22 |
+
{"time": "12:55:09", "event": "step", "step": 200, "rows_seen": 6400, "lr": 6.978548450576568e-05, "tok_per_s": 830.2659905522881, "loss": 0.6265465468168259, "entropy": 0.5433985404670238, "sharp": 0.24515043199062347}
|
| 23 |
+
{"time": "12:56:37", "event": "val", "step": 200, "rows_seen": 6400, "n": 500, "dropped_long": 0, "noul_ce": 0.6342898607254028, "noul_T": 1.1485404335145972, "noul_auc": 0.7080555602437089, "noul_acc": 0.674, "noul_f1": 0.7232597623089984, "noul_nll": 0.617951015740633, "noul_ece": 0.10988062268495559, "noul_brier": 0.21429277833614635, "noul_sharp": 0.16713516414165497, "entropy": 0.6170523762702942}
|
| 24 |
+
{"time": "13:00:02", "event": "step", "step": 210, "rows_seen": 6720, "lr": 6.688537860515266e-05, "tok_per_s": 814.9638584856447, "loss": 0.5445428052917123, "entropy": 0.6136729270219803, "sharp": 0.16579995956271887}
|
| 25 |
+
{"time": "13:03:33", "event": "step", "step": 220, "rows_seen": 7040, "lr": 6.392493542739706e-05, "tok_per_s": 816.2879168358388, "loss": 0.5680861752480268, "entropy": 0.5633813664317131, "sharp": 0.22864008322358131}
|
| 26 |
+
{"time": "13:07:06", "event": "step", "step": 230, "rows_seen": 7360, "lr": 6.091657210001309e-05, "tok_per_s": 817.530963309837, "loss": 0.5666002985090017, "entropy": 0.5461645387113094, "sharp": 0.23473116382956505}
|
| 27 |
+
{"time": "13:10:36", "event": "step", "step": 240, "rows_seen": 7680, "lr": 5.7872906744276015e-05, "tok_per_s": 818.6152142850999, "loss": 0.586516983807087, "entropy": 0.5211193859577179, "sharp": 0.2518439032137394}
|
| 28 |
+
{"time": "13:14:13", "event": "step", "step": 250, "rows_seen": 8000, "lr": 5.48067055504363e-05, "tok_per_s": 819.2063564651986, "loss": 0.5545659437775612, "entropy": 0.5577898062765598, "sharp": 0.2275696061551571}
|
| 29 |
+
{"time": "13:17:40", "event": "step", "step": 260, "rows_seen": 8320, "lr": 5.173082923188119e-05, "tok_per_s": 820.062669692517, "loss": 0.46058891993016005, "entropy": 0.5386128015816212, "sharp": 0.24167500436306}
|
| 30 |
+
{"time": "13:21:05", "event": "step", "step": 270, "rows_seen": 8640, "lr": 4.865817908283331e-05, "tok_per_s": 820.8843295921346, "loss": 0.5058119799941778, "entropy": 0.565500020980835, "sharp": 0.2239266335964203}
|
| 31 |
+
{"time": "13:24:44", "event": "step", "step": 280, "rows_seen": 8960, "lr": 4.560164286583922e-05, "tok_per_s": 822.2322944431492, "loss": 0.5481334328651428, "entropy": 0.6028634607791901, "sharp": 0.17307910695672035}
|
| 32 |
+
{"time": "13:28:09", "event": "step", "step": 290, "rows_seen": 9280, "lr": 4.257404075601443e-05, "tok_per_s": 823.2309101721536, "loss": 0.5663433335721493, "entropy": 0.519042007625103, "sharp": 0.2564035151153803}
|
| 33 |
+
{"time": "13:31:41", "event": "step", "step": 300, "rows_seen": 9600, "lr": 3.958807156877371e-05, "tok_per_s": 823.8825578679619, "loss": 0.6125295609235764, "entropy": 0.6427918300032616, "sharp": 0.12503604125231504}
|
| 34 |
+
{"time": "13:33:10", "event": "val", "step": 300, "rows_seen": 9600, "n": 500, "dropped_long": 0, "noul_ce": 0.6368759870529175, "noul_T": 0.5320408028986313, "noul_auc": 0.7128656056437866, "noul_acc": 0.692, "noul_f1": 0.7433333333333333, "noul_nll": 0.6319964309036732, "noul_ece": 0.12918312162160875, "noul_brier": 0.22017683533050206, "noul_sharp": 0.0868634358048439, "entropy": 0.6702858805656433}
|
| 35 |
+
{"time": "13:36:31", "event": "step", "step": 310, "rows_seen": 9920, "lr": 3.665625949658603e-05, "tok_per_s": 813.8884628223929, "loss": 0.5843488276004791, "entropy": 0.6127106919884682, "sharp": 0.16960112936794758}
|
| 36 |
+
{"time": "13:39:55", "event": "step", "step": 320, "rows_seen": 10240, "lr": 3.379090157815887e-05, "tok_per_s": 814.6310314016416, "loss": 0.7197622507810593, "entropy": 0.5646428242325783, "sharp": 0.21796787530183792}
|
| 37 |
+
{"time": "13:43:24", "event": "step", "step": 330, "rows_seen": 10560, "lr": 3.10040161203844e-05, "tok_per_s": 815.6557601710133, "loss": 0.5784352049231529, "entropy": 0.5157584249973297, "sharp": 0.23875261191278696}
|
| 38 |
+
{"time": "13:47:01", "event": "step", "step": 340, "rows_seen": 10880, "lr": 2.8307292289383776e-05, "tok_per_s": 816.6958798111687, "loss": 0.5721590183675289, "entropy": 0.5801337212324142, "sharp": 0.19855961576104164}
|
| 39 |
+
{"time": "13:50:24", "event": "step", "step": 350, "rows_seen": 11200, "lr": 2.571204108208194e-05, "tok_per_s": 817.6024403275716, "loss": 0.6272653751075268, "entropy": 0.5256512351334095, "sharp": 0.24470312520861626}
|
| 40 |
+
{"time": "13:54:06", "event": "step", "step": 360, "rows_seen": 11520, "lr": 2.322914788395595e-05, "tok_per_s": 818.4129216282679, "loss": 0.5601907148957253, "entropy": 0.5658868476748466, "sharp": 0.1933346427977085}
|
| 41 |
+
{"time": "13:57:39", "event": "step", "step": 370, "rows_seen": 11840, "lr": 2.0869026811945157e-05, "tok_per_s": 819.2607180204641, "loss": 0.5955355130136013, "entropy": 0.5704315751791, "sharp": 0.18660753779113293}
|
| 42 |
+
{"time": "14:01:02", "event": "step", "step": 380, "rows_seen": 12160, "lr": 1.8641577034025627e-05, "tok_per_s": 819.8601798315927, "loss": 0.6904039829969406, "entropy": 0.511899490840733, "sharp": 0.24448657780885696}
|
| 43 |
+
{"time": "14:04:29", "event": "step", "step": 390, "rows_seen": 12480, "lr": 1.6556141248659472e-05, "tok_per_s": 820.4708968536918, "loss": 0.5958489011973143, "entropy": 0.5645651370286942, "sharp": 0.20982736721634865}
|
| 44 |
+
{"time": "14:07:59", "event": "step", "step": 400, "rows_seen": 12800, "lr": 1.4621466498270773e-05, "tok_per_s": 821.1821068275964, "loss": 0.5036460254341364, "entropy": 0.5719989649951458, "sharp": 0.20386691577732563}
|
| 45 |
+
{"time": "14:09:27", "event": "val", "step": 400, "rows_seen": 12800, "n": 500, "dropped_long": 0, "noul_ce": 0.6395184993743896, "noul_T": 0.8266468933649221, "noul_auc": 0.7279370812306966, "noul_acc": 0.67, "noul_f1": 0.7069271758436945, "noul_nll": 0.632122870117426, "noul_ece": 0.1352908192873001, "noul_brier": 0.22041567304821358, "noul_sharp": 0.11165791004896164, "entropy": 0.6533892154693604}
|
| 46 |
+
{"time": "14:12:57", "event": "step", "step": 410, "rows_seen": 13120, "lr": 1.284566748110963e-05, "tok_per_s": 813.802433499434, "loss": 0.6287189461290836, "entropy": 0.5764273591339588, "sharp": 0.20393908582627773}
|
| 47 |
+
{"time": "14:16:30", "event": "step", "step": 420, "rows_seen": 13440, "lr": 1.1236192515387821e-05, "tok_per_s": 814.5731110232023, "loss": 0.6615785881876945, "entropy": 0.5217020995914936, "sharp": 0.2479446791112423}
|
| 48 |
+
{"time": "14:20:02", "event": "step", "step": 430, "rows_seen": 13760, "lr": 9.799792298443728e-06, "tok_per_s": 815.497796567564, "loss": 0.6035016844980419, "entropy": 0.5069842571392655, "sharp": 0.26279960945248604}
|
| 49 |
+
{"time": "14:23:34", "event": "step", "step": 440, "rows_seen": 14080, "lr": 8.542491591971554e-06, "tok_per_s": 815.9498013257964, "loss": 0.6159990951418877, "entropy": 0.48702458292245865, "sharp": 0.2891466598957777}
|
| 50 |
+
{"time": "14:27:09", "event": "step", "step": 450, "rows_seen": 14400, "lr": 7.469563952077155e-06, "tok_per_s": 816.8176237196193, "loss": 0.5535023231059313, "entropy": 0.528935207054019, "sharp": 0.2459303755313158}
|
| 51 |
+
{"time": "14:30:36", "event": "step", "step": 460, "rows_seen": 14720, "lr": 6.585509610150972e-06, "tok_per_s": 817.3091180175996, "loss": 0.5377992875874043, "entropy": 0.5508109740912914, "sharp": 0.22673368453979492}
|
| 52 |
+
{"time": "14:34:01", "event": "step", "step": 470, "rows_seen": 15040, "lr": 5.894036597333646e-06, "tok_per_s": 818.0065653376412, "loss": 0.6162302289158106, "entropy": 0.5840697642415762, "sharp": 0.1880231313407421}
|
| 53 |
+
{"time": "14:37:33", "event": "step", "step": 480, "rows_seen": 15360, "lr": 5.398045191744809e-06, "tok_per_s": 818.673447878204, "loss": 0.5571026224642992, "entropy": 0.5564380884170532, "sharp": 0.20396986231207848}
|
| 54 |
+
{"time": "14:41:05", "event": "step", "step": 490, "rows_seen": 15680, "lr": 5.099615753708697e-06, "tok_per_s": 819.497433720899, "loss": 0.43161831982433796, "entropy": 0.5723839905112982, "sharp": 0.2016696110367775}
|
| 55 |
+
{"time": "14:44:39", "event": "step", "step": 500, "rows_seen": 16000, "lr": 5e-06, "tok_per_s": 820.0609426459966, "loss": 0.6136300815269351, "entropy": 0.5593843199312687, "sharp": 0.21258223615586758}
|
| 56 |
+
{"time": "14:46:07", "event": "val", "step": 500, "rows_seen": 16000, "n": 500, "dropped_long": 0, "noul_ce": 0.6427628993988037, "noul_T": 1.046814857769061, "noul_auc": 0.7272788644917385, "noul_acc": 0.668, "noul_f1": 0.7046263345195729, "noul_nll": 0.6316258210390806, "noul_ece": 0.14266333568096162, "noul_brier": 0.22007706664471674, "noul_sharp": 0.1327688843011856, "entropy": 0.6386560201644897}
|
| 57 |
+
{"time": "14:49:17", "event": "ckpt", "tag": "ckpt-16000", "rows_seen": 16000, "replay_seen": 842, "step": 500, "tokens": 8943984, "tok_per_s": 799.8102136880569, "rows_per_s": 1.5060853878070437, "val": {"n": 1200, "dropped_long": 0, "noul_ce": 0.6224223375320435, "noul_T": 0.9114489262835489, "choice_ce": 0.6652951836585999, "choice_T": 1.057254374772595, "score_ce": 1.0459662675857544, "score_T": 0.9152068187959267, "noul_auc": 0.7117696, "noul_acc": 0.655, "noul_f1": 0.7048759623609923, "noul_nll": 0.6312288008481264, "noul_ece": 0.13414508992433546, "noul_brier": 0.22015866136246331, "noul_sharp": 0.12622646987438202, "entropy": 0.6429359316825867}, "dropped_long": 0, "peak_gib": 18.235705852508545}
|