Upload folder using huggingface_hub
Browse files
human_noise25_K5_seeds_s0/member_2/README.md
ADDED
|
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: EleutherAI/pythia-410m
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- base_model:adapter:EleutherAI/pythia-410m
|
| 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
|
human_noise25_K5_seeds_s0/member_2/adapter_config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "EleutherAI/pythia-410m",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"kasa_config": null,
|
| 16 |
+
"layer_replication": null,
|
| 17 |
+
"layers_pattern": null,
|
| 18 |
+
"layers_to_transform": null,
|
| 19 |
+
"loftq_config": {},
|
| 20 |
+
"lora_alpha": 32,
|
| 21 |
+
"lora_bias": false,
|
| 22 |
+
"lora_dropout": 0.05,
|
| 23 |
+
"lora_ga_config": null,
|
| 24 |
+
"megatron_config": null,
|
| 25 |
+
"megatron_core": "megatron.core",
|
| 26 |
+
"modules_to_save": [
|
| 27 |
+
"classifier",
|
| 28 |
+
"score"
|
| 29 |
+
],
|
| 30 |
+
"monteclora_config": null,
|
| 31 |
+
"peft_type": "LORA",
|
| 32 |
+
"peft_version": "0.21.2",
|
| 33 |
+
"qalora_group_size": 16,
|
| 34 |
+
"r": 16,
|
| 35 |
+
"rank_pattern": {},
|
| 36 |
+
"revision": null,
|
| 37 |
+
"target_modules": [
|
| 38 |
+
"query_key_value"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "SEQ_CLS",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_bdlora": null,
|
| 44 |
+
"use_dora": false,
|
| 45 |
+
"use_qalora": false,
|
| 46 |
+
"use_rslora": false,
|
| 47 |
+
"velora_config": null
|
| 48 |
+
}
|
human_noise25_K5_seeds_s0/member_2/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:20a97d9346f051d4d02ca4c566b3a6b973bb6a74453ebaba4e8b576b5cca04c9
|
| 3 |
+
size 6302608
|
human_noise25_K5_seeds_s0/member_2/val_scores.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"seed": 2, "history": [{"epoch": 1, "train_loss": 0.755853545755148, "train_acc": 0.5175, "seconds": 182.8, "val_acc": 0.598}, {"epoch": 2, "train_loss": 0.6776444910168647, "train_acc": 0.57, "seconds": 391.8, "val_acc": 0.593}], "val_acc": 0.593, "val_chosen": [4.94921875, 5.57421875, 4.71484375, 5.73046875, 4.83984375, 5.1015625, 4.83203125, 4.359375, 5.3828125, 4.8828125, 4.890625, 4.9375, 5.22265625, 5.515625, 4.76953125, 5.74609375, 5.28125, 5.2734375, 4.95703125, 5.24609375, 3.9296875, 4.79296875, 4.640625, 4.4140625, 4.54296875, 5.21875, 4.52734375, 4.78125, 4.9140625, 4.7734375, 5.21484375, 3.8515625, 4.93359375, 4.953125, 4.41796875, 4.76953125, 5.04296875, 5.14453125, 4.90234375, 4.8984375, 4.3125, 4.9375, 4.80859375, 4.421875, 3.76953125, 4.69140625, 4.3046875, 5.08203125, 4.62109375, 5.5078125, 4.83984375, 5.13671875, 4.29296875, 4.8359375, 4.83203125, 5.03515625, 4.76953125, 5.28125, 4.62890625, 5.2578125, 4.84765625, 5.40234375, 3.697265625, 4.21484375, 4.578125, 4.47265625, 4.7734375, 5.3828125, 4.2109375, 5.42578125, 5.17578125, 5.4921875, 4.125, 4.83203125, 3.3984375, 4.9609375, 5.39453125, 4.4609375, 4.33203125, 4.75, 5.29296875, 4.7734375, 4.61328125, 4.234375, 4.29296875, 4.99609375, 5.08203125, 5.6953125, 4.8359375, 5.390625, 4.328125, 5.57421875, 5.37109375, 5.625, 5.09765625, 5.8125, 5.15234375, 4.421875, 4.8359375, 4.2265625, 5.38671875, 4.890625, 4.07421875, 5.47265625, 4.7109375, 4.8515625, 4.10546875, 5.78515625, 4.68359375, 4.9375, 4.59375, 4.2109375, 4.1015625, 6.15625, 5.33984375, 5.0859375, 5.40234375, 5.96484375, 4.703125, 4.72265625, 5.00390625, 4.625, 4.64453125, 4.85546875, 4.6484375, 4.91796875, 4.6796875, 4.73828125, 4.078125, 5.05859375, 4.72265625, 5.0390625, 4.73046875, 4.6640625, 4.6796875, 4.94140625, 5.25, 4.93359375, 4.25390625, 5.62109375, 5.24609375, 5.09765625, 4.85546875, 5.0078125, 4.80859375, 4.73046875, 5.1640625, 5.41015625, 4.54296875, 4.7578125, 4.6640625, 4.8125, 5.1328125, 5.44921875, 4.9453125, 4.36328125, 4.71484375, 4.08984375, 5.21484375, 5.2890625, 4.17578125, 4.8671875, 4.90234375, 5.56640625, 4.8125, 4.953125, 4.21484375, 4.30859375, 4.44921875, 5.09765625, 4.72265625, 4.75390625, 4.35546875, 4.390625, 4.92578125, 5.125, 5.58984375, 5.140625, 5.0078125, 5.0546875, 4.70703125, 4.6875, 4.74609375, 4.875, 4.1328125, 4.8203125, 4.46875, 4.15625, 5.1640625, 4.046875, 4.578125, 3.388671875, 6.1328125, 4.50390625, 4.9921875, 5.71875, 4.8828125, 4.4453125, 4.52734375, 5.17578125, 5.078125, 5.1953125, 4.34375, 4.68359375, 4.75, 4.66796875, 4.94140625, 4.94921875, 5.703125, 4.953125, 5.01171875, 4.125, 4.43359375, 4.53515625, 4.48046875, 5.40234375, 4.61328125, 4.328125, 4.46875, 5.71875, 5.0546875, 4.890625, 4.62890625, 4.12890625, 4.78125, 6.08984375, 4.67578125, 5.21484375, 4.83203125, 3.98828125, 4.01171875, 4.546875, 5.1171875, 4.47265625, 5.015625, 5.0546875, 4.69921875, 4.9296875, 4.875, 5.140625, 4.92578125, 5.1875, 4.8671875, 4.87890625, 4.67578125, 4.84375, 5.2109375, 5.453125, 4.875, 4.5, 4.703125, 3.583984375, 4.6953125, 4.98828125, 5.421875, 3.806640625, 4.7265625, 5.16796875, 5.265625, 5.0234375, 4.25, 5.47265625, 5.41015625, 4.42578125, 4.21484375, 5.08984375, 6.1015625, 5.46875, 5.37890625, 4.66015625, 4.48828125, 5.875, 4.30859375, 4.95703125, 4.62109375, 4.4296875, 5.46484375, 4.453125, 4.390625, 5.08984375, 4.76953125, 5.0625, 4.91015625, 3.861328125, 5.34375, 4.82421875, 4.828125, 4.8046875, 4.91796875, 5.0, 4.68359375, 4.75, 4.88671875, 5.20703125, 4.4765625, 4.8125, 5.078125, 5.9609375, 4.953125, 4.8671875, 4.8203125, 5.1875, 4.7734375, 5.3828125, 4.69921875, 5.21484375, 5.8515625, 4.59375, 5.29296875, 5.484375, 4.9609375, 4.7734375, 5.74609375, 4.90234375, 4.56640625, 5.015625, 5.40234375, 4.78125, 5.54296875, 3.998046875, 4.08984375, 4.57421875, 4.20703125, 3.70703125, 5.04296875, 4.62890625, 5.3359375, 4.66015625, 4.40625, 4.71875, 4.26171875, 5.00390625, 4.28515625, 4.42578125, 5.92578125, 4.546875, 5.21484375, 5.02734375, 4.79296875, 5.328125, 4.42578125, 4.91015625, 5.078125, 4.62890625, 5.25, 4.96484375, 5.2421875, 4.65625, 4.8671875, 4.25, 5.1640625, 5.08984375, 4.46875, 5.07421875, 6.05859375, 4.67578125, 4.5546875, 4.79296875, 4.51953125, 5.5390625, 4.42578125, 4.51953125, 4.578125, 5.171875, 4.765625, 5.07421875, 4.984375, 4.859375, 5.140625, 4.87890625, 5.2421875, 4.60546875, 4.58203125, 5.078125, 4.328125, 5.375, 4.90625, 4.7265625, 3.6328125, 4.6953125, 3.91796875, 6.19921875, 4.96484375, 5.1640625, 5.359375, 4.62109375, 5.05859375, 4.40234375, 5.296875, 5.02734375, 4.29296875, 4.81640625, 4.99609375, 4.78515625, 3.72265625, 5.02734375, 2.955078125, 4.0078125, 5.359375, 4.1171875, 4.6328125, 5.046875, 4.63671875, 4.64453125, 4.8828125, 4.80078125, 4.3203125, 4.796875, 5.26953125, 5.49609375, 4.765625, 4.91015625, 4.8203125, 4.6484375, 4.94921875, 4.046875, 4.46484375, 4.54296875, 4.546875, 4.8046875, 5.3203125, 4.99609375, 4.765625, 5.51171875, 4.67578125, 5.265625, 5.1484375, 5.39453125, 4.4375, 4.609375, 5.109375, 4.0859375, 4.67578125, 4.8984375, 4.76171875, 5.08203125, 4.58984375, 5.046875, 4.40234375, 5.51171875, 5.21875, 5.0078125, 4.63671875, 4.8984375, 5.015625, 3.681640625, 4.59765625, 4.5546875, 5.5078125, 4.703125, 4.7578125, 4.78515625, 4.6796875, 4.89453125, 4.76171875, 3.89453125, 4.29296875, 5.015625, 5.796875, 3.9765625, 5.33984375, 5.24609375, 4.79296875, 4.125, 5.6015625, 5.5546875, 4.828125, 3.751953125, 4.7421875, 4.90625, 5.65625, 4.5859375, 5.18359375, 5.71484375, 5.34765625, 4.95703125, 4.6640625, 5.1015625, 4.53125, 4.46875, 5.0703125, 4.5546875, 5.55078125, 4.640625, 5.6640625, 5.01171875, 4.765625, 4.9140625, 5.15625, 4.23046875, 5.2109375, 5.6953125, 5.49609375, 4.41796875, 4.765625, 4.21484375, 6.05859375, 4.51171875, 5.33203125, 4.4921875, 4.55078125, 3.84765625, 4.28125, 4.4921875, 5.1875, 5.40625, 4.72265625, 4.98828125, 4.4765625, 4.4375, 4.88671875, 5.25, 4.140625, 4.65234375, 4.5078125, 5.26953125, 4.46484375, 5.62109375, 4.3359375, 4.83203125, 5.484375, 3.666015625, 4.7421875, 4.6015625, 4.46875, 4.6015625, 4.3125, 4.703125, 4.8203125, 4.640625, 5.66015625, 4.8125, 5.0625, 5.07421875, 4.78125, 4.51171875, 5.08203125, 4.16796875, 4.33984375, 4.546875, 4.984375, 4.3828125, 5.33203125, 5.109375, 4.8359375, 4.93359375, 4.76953125, 5.1953125, 4.28515625, 4.73828125, 5.23828125, 4.65625, 4.9453125, 5.1640625, 4.80859375, 4.7265625, 6.0703125, 4.38671875, 4.546875, 4.71484375, 5.04296875, 5.34765625, 5.28125, 5.01953125, 3.99609375, 4.78125, 4.40625, 3.69140625, 4.75, 4.1484375, 4.59375, 4.32421875, 5.02734375, 4.59765625, 5.3828125, 5.1796875, 5.3515625, 4.76953125, 5.43359375, 4.98828125, 5.31640625, 4.87109375, 4.53515625, 5.60546875, 4.14453125, 5.453125, 4.2109375, 5.29296875, 5.1328125, 3.953125, 4.73828125, 4.19921875, 4.6328125, 5.08984375, 5.30078125, 4.75390625, 4.4609375, 5.07421875, 5.4140625, 5.73828125, 4.78515625, 4.2578125, 4.07421875, 4.3046875, 5.15625, 5.75, 4.66796875, 5.40625, 5.2109375, 4.33984375, 4.65234375, 5.296875, 5.3046875, 4.95703125, 5.63671875, 5.4140625, 5.00390625, 4.16796875, 4.6953125, 5.26953125, 3.5625, 4.546875, 5.85546875, 4.25390625, 4.515625, 3.96484375, 4.4375, 5.04296875, 5.99609375, 4.984375, 5.9609375, 4.64453125, 5.19140625, 5.8515625, 4.92578125, 4.8046875, 4.87890625, 5.06640625, 5.00390625, 4.6328125, 4.05078125, 4.28125, 3.751953125, 5.671875, 4.421875, 3.615234375, 3.974609375, 4.8046875, 4.55078125, 4.4375, 5.15625, 5.08203125, 4.28125, 4.09765625, 5.625, 4.53125, 5.16796875, 4.13671875, 4.82421875, 4.96875, 3.60546875, 5.41796875, 4.59375, 5.91015625, 4.58203125, 5.19921875, 5.47265625, 5.5, 4.62109375, 3.8828125, 4.33984375, 5.08203125, 3.576171875, 4.7734375, 5.1015625, 4.71875, 5.02734375, 5.23046875, 5.1015625, 4.34375, 4.44140625, 4.5546875, 5.4453125, 5.14453125, 5.0234375, 4.484375, 4.9921875, 4.7890625, 4.8984375, 4.80859375, 5.61328125, 4.28515625, 5.5703125, 4.328125, 4.73828125, 3.95703125, 4.5703125, 4.40234375, 4.625, 5.515625, 4.640625, 4.4765625, 3.677734375, 4.55078125, 4.35546875, 4.21875, 4.34765625, 5.5390625, 4.79296875, 5.21875, 5.1640625, 5.046875, 4.671875, 4.89453125, 4.86328125, 5.453125, 5.16015625, 4.63671875, 3.732421875, 4.58984375, 5.3671875, 4.85546875, 4.33203125, 4.61328125, 5.12109375, 4.8359375, 4.6796875, 4.45703125, 5.1640625, 5.109375, 5.515625, 4.71484375, 5.21484375, 4.4375, 5.81640625, 5.38671875, 5.12890625, 5.171875, 5.28515625, 5.1484375, 5.1796875, 5.390625, 5.21875, 4.515625, 4.734375, 4.1015625, 4.73046875, 4.671875, 5.14453125, 4.08203125, 4.55078125, 4.265625, 4.10546875, 4.50390625, 4.9765625, 5.7421875, 5.28515625, 4.64453125, 4.74609375, 4.4453125, 6.69921875, 4.80078125, 5.421875, 4.79296875, 4.45703125, 5.06640625, 4.8046875, 4.25390625, 4.875, 4.3203125, 5.359375, 4.609375, 3.52734375, 4.43359375, 4.9296875, 4.6640625, 4.9765625, 4.765625, 4.51953125, 4.4296875, 5.1875, 5.62109375, 4.89453125, 3.984375, 5.3203125, 4.5703125, 5.00390625, 3.80078125, 4.9296875, 4.6015625, 5.57421875, 4.80859375, 5.3203125, 5.109375, 5.01953125, 5.33984375, 4.34765625, 3.71875, 4.97265625, 4.14453125, 5.21875, 3.99609375, 4.29296875, 4.81640625, 4.8203125, 4.83203125, 4.76953125, 4.68359375, 5.1328125, 4.01171875, 5.04296875, 4.640625, 4.91015625, 4.421875, 4.7734375, 5.04296875, 5.109375, 4.484375, 4.234375, 4.87109375, 5.35546875, 5.21484375, 3.845703125, 5.3359375, 5.6015625, 4.66796875, 4.50390625, 5.63671875, 5.41796875, 4.75390625, 4.62109375, 3.763671875, 5.01953125, 4.4453125, 4.421875, 5.39453125, 4.7109375, 4.55859375, 4.4453125, 4.4453125, 4.69921875, 4.8515625, 5.0, 4.93359375, 4.58984375, 5.0234375, 5.09375, 4.5625, 3.994140625, 4.39453125, 4.59375, 4.72265625, 5.37109375, 4.5859375, 4.9296875, 4.88671875, 5.23828125, 5.15625, 5.05859375, 5.390625, 5.46484375, 4.859375, 4.4140625, 3.935546875, 4.875, 4.34765625, 5.06640625, 4.60546875, 4.19140625, 5.40625, 4.6328125, 5.48046875, 4.69140625, 4.75, 4.33203125, 4.7265625, 4.03125, 5.30078125, 4.4609375, 4.60546875, 4.8203125, 4.34765625, 5.11328125, 5.34375, 5.03515625, 4.5703125, 4.875, 5.5546875, 4.94921875, 5.38671875, 5.15625, 4.8828125, 5.1640625, 4.69140625, 4.86328125, 4.703125, 3.990234375, 5.21484375, 4.74609375, 4.61328125, 5.515625, 4.125, 3.59375, 4.89453125, 5.37890625, 5.0703125, 4.3515625, 4.87109375, 5.4609375, 5.296875, 5.53515625, 4.18359375, 4.76953125, 5.0703125, 5.04296875, 4.5, 4.5, 4.81640625, 4.9609375, 4.6875, 5.34765625, 4.58203125, 4.5703125, 5.25, 5.10546875, 5.1640625, 5.7265625, 4.19921875, 4.640625, 4.69921875, 4.96484375, 5.32421875, 4.5, 4.6953125, 4.5625, 2.5625, 4.8359375, 5.2109375, 4.8984375, 4.13671875, 4.1484375, 4.734375, 4.8828125, 4.42578125, 4.48046875, 5.32421875, 5.1015625, 4.2421875, 4.41015625, 5.234375, 4.8671875, 4.546875, 5.25390625, 4.67578125, 5.0, 5.3125, 4.80859375, 4.20703125, 4.4375, 5.87890625, 5.23828125, 5.1484375, 4.96875, 5.375, 5.37109375, 4.33984375, 5.0078125, 4.89453125, 5.1328125, 5.125, 4.4453125, 5.2421875, 5.21484375, 4.484375, 5.1328125, 4.6640625, 5.1015625, 4.96875, 4.71875, 5.7890625, 4.87890625, 3.966796875, 5.046875, 4.3125, 4.51171875, 4.71484375, 5.50390625, 4.24609375, 5.37109375, 5.453125, 4.44921875, 4.70703125, 4.9921875, 4.56640625, 5.57421875, 4.62890625, 4.9609375, 5.49609375, 4.93359375, 4.03515625], "val_rejected": [4.83203125, 5.1953125, 4.6015625, 4.38671875, 4.8359375, 5.05078125, 3.962890625, 3.423828125, 5.13671875, 4.72265625, 4.9609375, 5.1640625, 4.01171875, 5.29296875, 4.51953125, 4.8203125, 5.15625, 4.67578125, 5.6953125, 5.16796875, 4.00390625, 4.47265625, 4.09375, 4.5859375, 3.955078125, 5.62109375, 4.4921875, 4.890625, 4.96484375, 5.23046875, 4.25, 4.4453125, 4.7421875, 4.50390625, 5.203125, 4.27734375, 4.2421875, 4.8671875, 4.37890625, 4.484375, 3.740234375, 4.6015625, 3.90625, 4.51953125, 4.2890625, 4.546875, 4.4765625, 4.28125, 4.29296875, 5.6796875, 4.4765625, 5.00390625, 4.265625, 5.04296875, 5.3203125, 4.58984375, 4.62890625, 5.16015625, 4.4140625, 5.21484375, 4.76953125, 5.21875, 5.2578125, 4.87109375, 4.3984375, 4.2578125, 4.93359375, 5.26171875, 4.9453125, 5.05859375, 4.9453125, 5.62109375, 4.4921875, 4.48828125, 4.30078125, 5.05859375, 5.28125, 4.26953125, 4.2265625, 4.74609375, 5.1171875, 4.71484375, 4.578125, 4.265625, 4.80859375, 5.1015625, 5.625, 5.3203125, 4.28125, 5.12109375, 4.890625, 5.484375, 5.78515625, 5.890625, 4.05078125, 6.08984375, 5.25390625, 4.3515625, 4.6484375, 4.18359375, 5.38671875, 4.4609375, 4.0703125, 4.9609375, 4.72265625, 4.875, 4.578125, 5.68359375, 4.99609375, 4.640625, 4.58203125, 4.44921875, 4.43359375, 6.40234375, 5.19921875, 4.89453125, 5.3125, 5.8671875, 3.294921875, 4.73046875, 4.97265625, 4.61328125, 4.04296875, 5.16015625, 5.2890625, 4.50390625, 4.14453125, 4.26953125, 4.4765625, 4.99609375, 4.84375, 5.09375, 4.30859375, 4.8203125, 5.12109375, 4.93359375, 4.859375, 5.12890625, 4.2890625, 5.0703125, 4.44140625, 5.5703125, 3.986328125, 4.8984375, 4.640625, 3.8671875, 5.16796875, 4.9296875, 4.85546875, 4.3984375, 4.51171875, 4.50390625, 3.783203125, 4.9140625, 4.65234375, 4.36328125, 4.3046875, 3.640625, 4.32421875, 5.3046875, 4.671875, 4.77734375, 5.13671875, 5.04296875, 4.52734375, 4.71875, 3.990234375, 4.18359375, 4.5078125, 4.921875, 4.578125, 5.15234375, 4.93359375, 4.46484375, 4.8515625, 4.9609375, 4.91796875, 4.90625, 4.85546875, 4.3203125, 4.8125, 4.40625, 4.36328125, 4.46875, 4.3515625, 4.44921875, 4.71484375, 4.03515625, 4.6640625, 4.3359375, 4.2734375, 3.91796875, 5.80078125, 4.30078125, 5.3125, 4.58984375, 4.20703125, 3.69140625, 4.4765625, 4.76171875, 4.82421875, 4.81640625, 4.7109375, 5.07421875, 4.48828125, 4.01953125, 4.71484375, 4.5234375, 5.19921875, 4.8359375, 5.32421875, 4.1484375, 4.57421875, 3.666015625, 4.21875, 4.77734375, 4.0625, 4.38671875, 4.78125, 5.68359375, 4.96484375, 4.7109375, 4.75390625, 4.171875, 4.94140625, 5.7734375, 4.53515625, 5.03515625, 5.13671875, 4.91015625, 5.1640625, 4.56640625, 4.8125, 4.41796875, 4.1875, 4.81640625, 4.94921875, 4.7109375, 4.34375, 5.16015625, 4.99609375, 5.50390625, 5.12890625, 4.58984375, 4.7109375, 4.92578125, 4.9609375, 4.8984375, 5.55859375, 4.4765625, 4.84375, 4.53515625, 4.37109375, 5.78515625, 5.10546875, 4.80859375, 4.8359375, 4.73046875, 5.1328125, 4.9609375, 4.30859375, 5.54296875, 5.3046875, 4.609375, 4.7734375, 4.98046875, 6.3203125, 5.37890625, 5.51171875, 4.6953125, 4.29296875, 5.546875, 3.890625, 4.7421875, 4.78515625, 4.60546875, 5.00390625, 4.4765625, 3.62890625, 4.53515625, 5.07421875, 4.890625, 5.4765625, 4.2265625, 5.15625, 5.171875, 5.14453125, 5.48046875, 4.8984375, 3.94921875, 4.79296875, 3.98046875, 4.15234375, 5.140625, 4.765625, 4.6328125, 4.94921875, 5.25, 4.109375, 3.474609375, 4.94140625, 4.32421875, 5.16015625, 5.36328125, 4.65625, 5.30078125, 5.5078125, 4.3046875, 4.8359375, 5.18359375, 5.3671875, 4.31640625, 4.70703125, 5.07421875, 4.6796875, 4.828125, 4.87109375, 4.32421875, 5.4609375, 3.853515625, 4.72265625, 4.75, 3.72265625, 3.982421875, 5.37890625, 3.9375, 5.40234375, 4.72265625, 4.24609375, 4.515625, 4.61328125, 4.53125, 4.30859375, 4.421875, 5.7109375, 4.56640625, 5.14453125, 5.1484375, 5.125, 5.21484375, 4.52734375, 4.97265625, 5.46484375, 4.23046875, 4.24609375, 5.00390625, 5.1328125, 5.1875, 4.921875, 3.32421875, 4.8984375, 4.890625, 4.96875, 5.125, 5.828125, 4.8515625, 4.48046875, 4.8203125, 3.9765625, 5.41015625, 4.5859375, 4.19140625, 4.6640625, 4.72265625, 4.91015625, 4.8125, 4.31640625, 4.86328125, 5.15234375, 3.66796875, 4.8203125, 4.3984375, 5.05078125, 5.359375, 4.05078125, 4.984375, 4.046875, 4.8125, 4.46484375, 4.84765625, 4.9453125, 5.24609375, 4.51171875, 5.0390625, 5.234375, 4.3984375, 4.93359375, 4.45703125, 5.40625, 5.1015625, 2.6875, 4.01953125, 4.890625, 4.51171875, 3.916015625, 4.796875, 5.33203125, 4.0390625, 4.9375, 5.171875, 4.30859375, 5.0234375, 4.8984375, 4.63671875, 4.69140625, 3.939453125, 4.5703125, 4.87890625, 4.80078125, 5.796875, 4.703125, 4.75390625, 4.87109375, 4.7109375, 4.72265625, 4.4921875, 4.1796875, 4.16796875, 4.43359375, 4.6953125, 5.15625, 3.693359375, 4.66796875, 4.44921875, 4.71875, 4.96875, 4.77734375, 4.53515625, 4.75390625, 3.90625, 5.0078125, 5.15234375, 4.63671875, 4.90625, 4.28125, 4.89453125, 4.390625, 4.9765625, 4.3515625, 4.75390625, 4.88671875, 5.01953125, 4.6015625, 4.91015625, 5.4140625, 4.17578125, 4.73046875, 4.80859375, 5.26171875, 5.19140625, 5.37890625, 4.03125, 5.33203125, 5.26171875, 4.78125, 3.78125, 4.44140625, 4.21484375, 5.7578125, 2.9609375, 5.02734375, 4.203125, 3.888671875, 4.359375, 5.84375, 5.35546875, 5.30859375, 4.2421875, 5.04296875, 4.671875, 5.5, 4.53515625, 4.65234375, 5.60546875, 4.91015625, 5.2109375, 3.97265625, 5.09375, 4.9140625, 4.69140625, 4.5, 4.55859375, 3.44921875, 4.296875, 5.6796875, 3.876953125, 4.859375, 4.890625, 5.28125, 4.2734375, 5.3515625, 5.7734375, 5.0390625, 3.77734375, 5.0078125, 4.49609375, 6.02734375, 4.66015625, 5.05078125, 4.5234375, 3.4375, 4.52734375, 4.01171875, 4.5546875, 4.84375, 5.05859375, 5.20703125, 4.20703125, 4.41796875, 4.3359375, 5.015625, 5.296875, 4.06640625, 5.1328125, 4.4296875, 5.40625, 4.28515625, 5.421875, 4.62890625, 4.60546875, 4.47265625, 4.7421875, 4.64453125, 4.703125, 3.9609375, 4.53515625, 4.62890625, 4.08984375, 5.14453125, 4.51171875, 5.54296875, 5.07421875, 5.015625, 4.78515625, 4.99609375, 3.96484375, 4.6875, 3.95703125, 4.42578125, 4.3984375, 4.9140625, 4.171875, 4.26953125, 5.1796875, 4.765625, 5.79296875, 4.625, 5.37109375, 4.5078125, 4.5859375, 6.1015625, 4.71875, 4.375, 3.365234375, 4.765625, 3.8828125, 5.54296875, 4.65234375, 4.25, 4.75, 4.99609375, 5.04296875, 5.26171875, 4.90234375, 4.09765625, 4.5234375, 4.52734375, 3.931640625, 4.53125, 3.9296875, 4.54296875, 5.21875, 5.15234375, 4.66796875, 4.9921875, 4.37109375, 5.5390625, 4.74609375, 4.890625, 4.1640625, 4.44921875, 4.93359375, 4.24609375, 5.109375, 4.5546875, 5.125, 4.2109375, 5.66796875, 5.07421875, 4.55078125, 4.82421875, 4.83203125, 5.0546875, 5.10546875, 4.76953125, 5.4921875, 4.75390625, 4.7109375, 4.87109375, 5.43359375, 5.0, 4.61328125, 3.998046875, 4.3359375, 4.08984375, 5.0390625, 4.8984375, 4.90625, 4.62109375, 3.642578125, 4.37109375, 5.4609375, 4.59765625, 4.9921875, 5.2265625, 5.86328125, 4.58984375, 4.1953125, 4.609375, 5.45703125, 4.890625, 4.42578125, 5.93359375, 4.73828125, 4.80078125, 4.1015625, 4.25, 4.7734375, 5.859375, 4.6328125, 5.83203125, 4.65234375, 5.4453125, 5.88671875, 5.8125, 4.69140625, 4.328125, 4.7890625, 4.38671875, 2.91015625, 4.27734375, 4.3671875, 4.5546875, 5.1640625, 4.56640625, 4.01171875, 4.41796875, 4.7734375, 4.4140625, 4.30078125, 5.46484375, 4.00390625, 4.609375, 4.125, 5.6640625, 4.15625, 5.0390625, 4.25, 5.3046875, 3.892578125, 4.140625, 4.45703125, 4.43359375, 5.4140625, 4.78125, 3.8828125, 5.50390625, 5.68359375, 4.5234375, 3.9140625, 3.724609375, 5.02734375, 3.83203125, 4.9921875, 4.45703125, 4.5390625, 4.58203125, 5.0, 5.4140625, 4.7421875, 4.60546875, 4.80859375, 4.92578125, 4.56640625, 5.0859375, 4.70703125, 4.99609375, 4.97265625, 4.109375, 5.00390625, 5.0078125, 4.359375, 5.3046875, 5.01953125, 4.5859375, 4.52734375, 3.845703125, 4.19921875, 4.625, 5.7890625, 4.4921875, 3.65625, 4.2265625, 4.47265625, 5.16796875, 4.12109375, 4.5390625, 5.28515625, 4.1015625, 3.650390625, 4.66015625, 5.1640625, 5.3828125, 4.48828125, 4.84765625, 4.7265625, 5.1640625, 4.18359375, 4.82421875, 4.4453125, 5.234375, 5.046875, 4.1796875, 4.71484375, 4.90625, 4.89453125, 4.40625, 4.5859375, 5.203125, 5.34765625, 5.76171875, 4.578125, 5.28125, 4.0703125, 5.00390625, 5.16015625, 4.265625, 5.296875, 4.484375, 4.85546875, 5.4296875, 3.865234375, 4.86328125, 4.28515625, 4.640625, 4.13671875, 5.22265625, 4.86328125, 4.671875, 4.359375, 4.296875, 4.171875, 5.21875, 3.880859375, 4.5, 5.97265625, 4.96875, 4.9140625, 4.0078125, 3.98046875, 4.40234375, 4.84765625, 5.2734375, 4.69921875, 4.38671875, 5.90625, 5.16015625, 4.234375, 4.89453125, 3.62109375, 5.140625, 4.64453125, 4.875, 4.3828125, 4.85546875, 4.375, 4.76953125, 4.4375, 4.2265625, 4.70703125, 5.03515625, 5.3046875, 3.798828125, 4.44140625, 5.5859375, 4.27734375, 4.82421875, 5.21875, 5.046875, 4.09765625, 5.0625, 4.671875, 5.5546875, 4.890625, 4.796875, 3.837890625, 4.47265625, 4.0, 4.16015625, 3.916015625, 5.72265625, 4.23828125, 4.08203125, 5.46484375, 4.9296875, 4.37109375, 4.69140625, 4.6015625, 5.25, 4.2890625, 5.61328125, 4.58984375, 4.9296875, 4.15234375, 4.03125, 4.625, 5.109375, 4.87109375, 4.10546875, 5.1484375, 5.390625, 5.18359375, 4.16796875, 4.5390625, 5.87109375, 4.671875, 4.35546875, 4.859375, 4.91796875, 5.04296875, 4.578125, 3.92578125, 4.3984375, 4.328125, 4.35546875, 5.609375, 3.908203125, 4.21875, 4.7890625, 4.46875, 4.91015625, 4.8046875, 5.12109375, 4.58984375, 4.9296875, 4.828125, 4.9765625, 4.78125, 4.5390625, 4.7109375, 4.140625, 4.953125, 4.8125, 4.53515625, 4.30078125, 3.6875, 5.42578125, 5.18359375, 5.03515625, 5.57421875, 5.10546875, 4.93359375, 4.203125, 3.76953125, 5.16015625, 4.26171875, 4.83203125, 4.17578125, 4.09765625, 5.30859375, 5.1484375, 5.35546875, 4.36328125, 4.640625, 4.55859375, 4.94921875, 4.375, 5.046875, 4.42578125, 4.41015625, 4.80078125, 4.7890625, 5.28515625, 5.57421875, 4.09765625, 4.51171875, 5.3046875, 5.0, 3.783203125, 5.07421875, 3.755859375, 4.43359375, 4.79296875, 4.59375, 4.21484375, 5.23046875, 3.953125, 3.76171875, 4.890625, 4.8359375, 5.4453125, 4.70703125, 3.501953125, 4.49609375, 4.8984375, 4.9921875, 4.66796875, 5.390625, 5.14453125, 5.03515625, 5.33203125, 4.75390625, 4.29296875, 3.935546875, 4.390625, 3.943359375, 5.29296875, 4.96875, 4.03125, 4.91796875, 5.0, 5.01171875, 4.078125, 5.1875, 5.22265625, 4.5625, 4.5546875, 4.375, 4.36328125, 4.41015625, 5.203125, 5.2265625, 3.5625, 4.54296875, 4.95703125, 4.6796875, 4.6640625, 5.10546875, 5.390625, 3.8984375, 5.0390625, 2.76171875, 5.2890625, 4.5859375, 4.2890625, 5.27734375, 3.931640625, 3.369140625, 4.50390625, 3.96875, 4.81640625, 3.96484375, 5.0, 4.6015625, 4.41796875, 5.3046875, 4.95703125, 5.1640625, 4.953125, 5.6015625, 5.35546875, 5.10546875, 4.26171875, 5.51953125, 5.35546875, 3.03515625, 5.265625, 4.7265625, 4.15625, 5.04296875, 4.25, 5.14453125, 4.890625, 4.97265625, 4.84765625, 3.560546875, 4.74609375, 4.87109375, 4.71875, 5.6796875, 5.37890625, 3.87109375, 4.53125, 4.296875, 4.4609375, 4.8984375, 5.24609375, 4.89453125, 4.76953125, 5.375, 4.6484375, 4.453125, 4.8828125, 4.9140625, 5.359375, 4.5859375, 4.76171875, 5.45703125, 5.2421875, 4.0625]}
|