upload checkpoints
Browse files- gen_A_rev_stage1_best.pt +3 -0
- gen_A_rev_stage1_history.json +322 -0
- gen_A_rev_stage2_best.pt +3 -0
- gen_A_rev_stage2_history.json +394 -0
- gen_A_rev_summary.json +69 -0
- gen_A_stage1_best.pt +3 -0
- gen_A_stage1_history.json +234 -0
- gen_A_stage2_best.pt +3 -0
- gen_A_stage2_history.json +242 -0
- gen_A_summary.json +45 -0
- gen_D_1.5b_best/README.md +207 -0
- gen_D_1.5b_best/adapter_config.json +48 -0
- gen_D_1.5b_best/adapter_model.safetensors +3 -0
- gen_D_1.5b_history.json +26 -0
- gen_D_1.5b_summary.json +96 -0
- nlu_joint_best/config.json +26 -0
- nlu_joint_best/history.json +132 -0
- nlu_joint_best/labels.json +26 -0
- nlu_joint_best/model.pt +3 -0
- nlu_joint_best/tokenizer.json +0 -0
- nlu_joint_best/tokenizer_config.json +15 -0
- trait_fit_best/config.json +26 -0
- trait_fit_best/history.json +62 -0
- trait_fit_best/model.safetensors +3 -0
- trait_fit_best/tokenizer.json +0 -0
- trait_fit_best/tokenizer_config.json +15 -0
- trait_fit_best/trait_fit.json +411 -0
gen_A_rev_stage1_best.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:15ae534bcfce05f750c0fd498ebbae5fa7f1ca6c7d7897306fc8d2898d654da5
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size 37324521
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gen_A_rev_stage1_history.json
ADDED
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gen_A_rev_stage2_best.pt
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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gen_A_rev_stage2_history.json
ADDED
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@@ -0,0 +1,394 @@
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gen_A_rev_summary.json
ADDED
|
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|
gen_A_stage1_best.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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size 37324481
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gen_A_stage1_history.json
ADDED
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gen_A_stage2_best.pt
ADDED
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@@ -0,0 +1,3 @@
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|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1b2f269d52b5ac69271b36167d8a96663b43778ae088a2e189d10dcccf858d5
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| 3 |
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size 37324481
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gen_A_stage2_history.json
ADDED
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@@ -0,0 +1,242 @@
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gen_A_summary.json
ADDED
|
@@ -0,0 +1,45 @@
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|
| 1 |
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| 2 |
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| 3 |
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|
| 4 |
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| 13 |
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| 17 |
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| 18 |
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| 44 |
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| 45 |
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|
gen_D_1.5b_best/README.md
ADDED
|
@@ -0,0 +1,207 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-1.5B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-1.5B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.21.2
|
gen_D_1.5b_best/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": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 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": null,
|
| 27 |
+
"monteclora_config": null,
|
| 28 |
+
"peft_type": "LORA",
|
| 29 |
+
"peft_version": "0.21.2",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
+
"r": 16,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": [
|
| 35 |
+
"k_proj",
|
| 36 |
+
"v_proj",
|
| 37 |
+
"o_proj",
|
| 38 |
+
"q_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 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 |
+
}
|
gen_D_1.5b_best/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d864d9de5bb654b87a66a79b3c0189ae705e471bae5056900bd99e48d26c014e
|
| 3 |
+
size 17462432
|
gen_D_1.5b_history.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"epoch": 1,
|
| 4 |
+
"train_loss": 1.777713284482065,
|
| 5 |
+
"val_loss": 1.5607523326980999,
|
| 6 |
+
"val_ppl": 4.762402809059877,
|
| 7 |
+
"lr": 0.00015898837661756406,
|
| 8 |
+
"seconds": 283.4
|
| 9 |
+
},
|
| 10 |
+
{
|
| 11 |
+
"epoch": 2,
|
| 12 |
+
"train_loss": 1.4636819736536841,
|
| 13 |
+
"val_loss": 1.4744204138554795,
|
| 14 |
+
"val_ppl": 4.368503115176133,
|
| 15 |
+
"lr": 5.4716656824812505e-05,
|
| 16 |
+
"seconds": 269.8
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 3,
|
| 20 |
+
"train_loss": 1.3679931340887337,
|
| 21 |
+
"val_loss": 1.4625474019787907,
|
| 22 |
+
"val_ppl": 4.316942521277983,
|
| 23 |
+
"lr": 0.0,
|
| 24 |
+
"seconds": 269.7
|
| 25 |
+
}
|
| 26 |
+
]
|
gen_D_1.5b_summary.json
ADDED
|
@@ -0,0 +1,96 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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nlu_joint_best/config.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
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{
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| 3 |
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|
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| 25 |
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|
| 26 |
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|
nlu_joint_best/history.json
ADDED
|
@@ -0,0 +1,132 @@
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|
nlu_joint_best/labels.json
ADDED
|
@@ -0,0 +1,26 @@
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|
|
|
|
|
|
|
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|
|
|
| 1 |
+
{
|
| 2 |
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"intents": [
|
| 3 |
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"request_diss",
|
| 4 |
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"another_one",
|
| 5 |
+
"make_meaner",
|
| 6 |
+
"make_softer",
|
| 7 |
+
"greet",
|
| 8 |
+
"goodbye",
|
| 9 |
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"out_of_scope"
|
| 10 |
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],
|
| 11 |
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"tags": [
|
| 12 |
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"O",
|
| 13 |
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"B-TRAIT",
|
| 14 |
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"I-TRAIT"
|
| 15 |
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],
|
| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 25 |
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|
| 26 |
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nlu_joint_best/model.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:3b67acb45bd51000bf66cf5e2df51b7a068f329664b3474da563c7eecb8fe809
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| 3 |
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size 265516755
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nlu_joint_best/tokenizer.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
nlu_joint_best/tokenizer_config.json
ADDED
|
@@ -0,0 +1,15 @@
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|
| 1 |
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{
|
| 2 |
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"backend": "tokenizers",
|
| 3 |
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| 4 |
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|
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"mask_token": "[MASK]",
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| 9 |
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"pad_token": "[PAD]",
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| 10 |
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|
| 11 |
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| 12 |
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"tokenize_chinese_chars": true,
|
| 13 |
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"tokenizer_class": "BertTokenizer",
|
| 14 |
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"unk_token": "[UNK]"
|
| 15 |
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}
|
trait_fit_best/config.json
ADDED
|
@@ -0,0 +1,26 @@
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|
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|
|
| 1 |
+
{
|
| 2 |
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"activation": "gelu",
|
| 3 |
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"architectures": [
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| 4 |
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"DistilBertForSequenceClassification"
|
| 5 |
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],
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| 7 |
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|
| 8 |
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"dim": 768,
|
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|
| 10 |
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"dtype": "float32",
|
| 11 |
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|
| 13 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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"n_layers": 6,
|
| 18 |
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| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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"tie_weights_": true,
|
| 23 |
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"tie_word_embeddings": true,
|
| 24 |
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"transformers_version": "5.21.0",
|
| 25 |
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"vocab_size": 30522
|
| 26 |
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trait_fit_best/history.json
ADDED
|
@@ -0,0 +1,62 @@
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| 27 |
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|
| 28 |
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"seconds": 21.03678870201111
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| 37 |
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|
| 40 |
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"seconds": 21.15024757385254
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| 62 |
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trait_fit_best/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:c59ed883386b6c82ff1c660f2bbd785969507ab347d329e7646d89e5b893478a
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| 3 |
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size 267832560
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trait_fit_best/tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
|
|
|
trait_fit_best/tokenizer_config.json
ADDED
|
@@ -0,0 +1,15 @@
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| 1 |
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{
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"backend": "tokenizers",
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| 4 |
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"unk_token": "[UNK]"
|
| 15 |
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trait_fit_best/trait_fit.json
ADDED
|
@@ -0,0 +1,411 @@
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|
| 1 |
+
{
|
| 2 |
+
"base_model": "distilbert-base-uncased",
|
| 3 |
+
"describe_traits": true,
|
| 4 |
+
"max_len": 192,
|
| 5 |
+
"traits": {
|
| 6 |
+
"confident": {
|
| 7 |
+
"synonyms": [
|
| 8 |
+
"self-assured",
|
| 9 |
+
"bold",
|
| 10 |
+
"sure of myself",
|
| 11 |
+
"cocky"
|
| 12 |
+
],
|
| 13 |
+
"flip": "arrogant, all talk"
|
| 14 |
+
},
|
| 15 |
+
"smart": {
|
| 16 |
+
"synonyms": [
|
| 17 |
+
"intelligent",
|
| 18 |
+
"clever",
|
| 19 |
+
"brainy",
|
| 20 |
+
"big brain"
|
| 21 |
+
],
|
| 22 |
+
"flip": "know-it-all who overthinks everything"
|
| 23 |
+
},
|
| 24 |
+
"funny": {
|
| 25 |
+
"synonyms": [
|
| 26 |
+
"hilarious",
|
| 27 |
+
"humorous",
|
| 28 |
+
"the class clown",
|
| 29 |
+
"a comedian"
|
| 30 |
+
],
|
| 31 |
+
"flip": "tries too hard, laughs at their own jokes"
|
| 32 |
+
},
|
| 33 |
+
"hardworking": {
|
| 34 |
+
"synonyms": [
|
| 35 |
+
"diligent",
|
| 36 |
+
"grinder",
|
| 37 |
+
"always working",
|
| 38 |
+
"industrious"
|
| 39 |
+
],
|
| 40 |
+
"flip": "workaholic with no life"
|
| 41 |
+
},
|
| 42 |
+
"ambitious": {
|
| 43 |
+
"synonyms": [
|
| 44 |
+
"driven",
|
| 45 |
+
"goal-oriented",
|
| 46 |
+
"aiming high",
|
| 47 |
+
"go-getter"
|
| 48 |
+
],
|
| 49 |
+
"flip": "all big plans, no results"
|
| 50 |
+
},
|
| 51 |
+
"creative": {
|
| 52 |
+
"synonyms": [
|
| 53 |
+
"artistic",
|
| 54 |
+
"imaginative",
|
| 55 |
+
"inventive",
|
| 56 |
+
"full of ideas"
|
| 57 |
+
],
|
| 58 |
+
"flip": "pretentious, never finishes anything"
|
| 59 |
+
},
|
| 60 |
+
"organized": {
|
| 61 |
+
"synonyms": [
|
| 62 |
+
"neat planner",
|
| 63 |
+
"methodical",
|
| 64 |
+
"has a planner",
|
| 65 |
+
"structured"
|
| 66 |
+
],
|
| 67 |
+
"flip": "control freak who colour-codes everything"
|
| 68 |
+
},
|
| 69 |
+
"athletic": {
|
| 70 |
+
"synonyms": [
|
| 71 |
+
"sporty",
|
| 72 |
+
"fit",
|
| 73 |
+
"gym rat",
|
| 74 |
+
"into sports"
|
| 75 |
+
],
|
| 76 |
+
"flip": "gym bro who only talks about protein"
|
| 77 |
+
},
|
| 78 |
+
"generous": {
|
| 79 |
+
"synonyms": [
|
| 80 |
+
"giving",
|
| 81 |
+
"kind-hearted",
|
| 82 |
+
"always pays",
|
| 83 |
+
"big-hearted"
|
| 84 |
+
],
|
| 85 |
+
"flip": "pushover who buys friendship"
|
| 86 |
+
},
|
| 87 |
+
"honest": {
|
| 88 |
+
"synonyms": [
|
| 89 |
+
"truthful",
|
| 90 |
+
"straightforward",
|
| 91 |
+
"tells it like it is",
|
| 92 |
+
"blunt"
|
| 93 |
+
],
|
| 94 |
+
"flip": "tactless, brutally rude"
|
| 95 |
+
},
|
| 96 |
+
"loyal": {
|
| 97 |
+
"synonyms": [
|
| 98 |
+
"faithful",
|
| 99 |
+
"devoted",
|
| 100 |
+
"ride or die",
|
| 101 |
+
"dependable"
|
| 102 |
+
],
|
| 103 |
+
"flip": "clingy, can't let go"
|
| 104 |
+
},
|
| 105 |
+
"adventurous": {
|
| 106 |
+
"synonyms": [
|
| 107 |
+
"daring",
|
| 108 |
+
"fearless",
|
| 109 |
+
"outdoorsy",
|
| 110 |
+
"risk-taker"
|
| 111 |
+
],
|
| 112 |
+
"flip": "reckless thrill-seeker"
|
| 113 |
+
},
|
| 114 |
+
"calm": {
|
| 115 |
+
"synonyms": [
|
| 116 |
+
"relaxed",
|
| 117 |
+
"composed",
|
| 118 |
+
"laid-back",
|
| 119 |
+
"never stressed"
|
| 120 |
+
],
|
| 121 |
+
"flip": "so chill they're basically asleep"
|
| 122 |
+
},
|
| 123 |
+
"caring": {
|
| 124 |
+
"synonyms": [
|
| 125 |
+
"kind",
|
| 126 |
+
"thoughtful",
|
| 127 |
+
"nurturing",
|
| 128 |
+
"considerate"
|
| 129 |
+
],
|
| 130 |
+
"flip": "smothering, acts like everyone's mum"
|
| 131 |
+
},
|
| 132 |
+
"tidy": {
|
| 133 |
+
"synonyms": [
|
| 134 |
+
"clean",
|
| 135 |
+
"neat",
|
| 136 |
+
"spotless",
|
| 137 |
+
"minimalist"
|
| 138 |
+
],
|
| 139 |
+
"flip": "neat freak who panics at crumbs"
|
| 140 |
+
},
|
| 141 |
+
"knowledgeable": {
|
| 142 |
+
"synonyms": [
|
| 143 |
+
"well-informed",
|
| 144 |
+
"a walking encyclopedia",
|
| 145 |
+
"knows a lot",
|
| 146 |
+
"into history"
|
| 147 |
+
],
|
| 148 |
+
"flip": "trivia bore who never stops lecturing"
|
| 149 |
+
},
|
| 150 |
+
"musical": {
|
| 151 |
+
"synonyms": [
|
| 152 |
+
"plays guitar",
|
| 153 |
+
"sings",
|
| 154 |
+
"a musician",
|
| 155 |
+
"into music"
|
| 156 |
+
],
|
| 157 |
+
"flip": "brings a guitar to every party uninvited"
|
| 158 |
+
},
|
| 159 |
+
"bookish": {
|
| 160 |
+
"synonyms": [
|
| 161 |
+
"well-read",
|
| 162 |
+
"bookworm",
|
| 163 |
+
"reads a lot",
|
| 164 |
+
"literary"
|
| 165 |
+
],
|
| 166 |
+
"flip": "quotes novels nobody asked about"
|
| 167 |
+
},
|
| 168 |
+
"independent": {
|
| 169 |
+
"synonyms": [
|
| 170 |
+
"self-reliant",
|
| 171 |
+
"self-sufficient",
|
| 172 |
+
"a lone wolf",
|
| 173 |
+
"does it all alone"
|
| 174 |
+
],
|
| 175 |
+
"flip": "too proud to ever ask for help"
|
| 176 |
+
},
|
| 177 |
+
"optimistic": {
|
| 178 |
+
"synonyms": [
|
| 179 |
+
"positive",
|
| 180 |
+
"hopeful",
|
| 181 |
+
"glass half full",
|
| 182 |
+
"always upbeat"
|
| 183 |
+
],
|
| 184 |
+
"flip": "naive and delusional"
|
| 185 |
+
},
|
| 186 |
+
"outgoing": {
|
| 187 |
+
"synonyms": [
|
| 188 |
+
"social",
|
| 189 |
+
"extroverted",
|
| 190 |
+
"life of the party",
|
| 191 |
+
"talks to everyone"
|
| 192 |
+
],
|
| 193 |
+
"flip": "loud attention seeker"
|
| 194 |
+
},
|
| 195 |
+
"easygoing": {
|
| 196 |
+
"synonyms": [
|
| 197 |
+
"chill",
|
| 198 |
+
"flexible",
|
| 199 |
+
"go with the flow",
|
| 200 |
+
"low-maintenance"
|
| 201 |
+
],
|
| 202 |
+
"flip": "lazy, has no opinions"
|
| 203 |
+
},
|
| 204 |
+
"competitive": {
|
| 205 |
+
"synonyms": [
|
| 206 |
+
"hates losing",
|
| 207 |
+
"driven to win",
|
| 208 |
+
"a winner",
|
| 209 |
+
"always first"
|
| 210 |
+
],
|
| 211 |
+
"flip": "sore loser who turns everything into a contest"
|
| 212 |
+
},
|
| 213 |
+
"meticulous": {
|
| 214 |
+
"synonyms": [
|
| 215 |
+
"detail-oriented",
|
| 216 |
+
"perfectionist",
|
| 217 |
+
"precise",
|
| 218 |
+
"thorough"
|
| 219 |
+
],
|
| 220 |
+
"flip": "nitpicker who takes forever"
|
| 221 |
+
},
|
| 222 |
+
"helpful": {
|
| 223 |
+
"synonyms": [
|
| 224 |
+
"supportive",
|
| 225 |
+
"always helping",
|
| 226 |
+
"useful",
|
| 227 |
+
"there for everyone"
|
| 228 |
+
],
|
| 229 |
+
"flip": "meddling busybody"
|
| 230 |
+
},
|
| 231 |
+
"spontaneous": {
|
| 232 |
+
"synonyms": [
|
| 233 |
+
"impulsive",
|
| 234 |
+
"carefree",
|
| 235 |
+
"random",
|
| 236 |
+
"up for anything"
|
| 237 |
+
],
|
| 238 |
+
"flip": "chaotic, never makes a plan"
|
| 239 |
+
},
|
| 240 |
+
"disciplined": {
|
| 241 |
+
"synonyms": [
|
| 242 |
+
"self-controlled",
|
| 243 |
+
"strict routine",
|
| 244 |
+
"focused",
|
| 245 |
+
"wakes up at 5am"
|
| 246 |
+
],
|
| 247 |
+
"flip": "robot with no fun"
|
| 248 |
+
},
|
| 249 |
+
"charming": {
|
| 250 |
+
"synonyms": [
|
| 251 |
+
"charismatic",
|
| 252 |
+
"smooth",
|
| 253 |
+
"rizz",
|
| 254 |
+
"likeable"
|
| 255 |
+
],
|
| 256 |
+
"flip": "smooth talker, totally insincere"
|
| 257 |
+
},
|
| 258 |
+
"humble": {
|
| 259 |
+
"synonyms": [
|
| 260 |
+
"modest",
|
| 261 |
+
"down to earth",
|
| 262 |
+
"unassuming",
|
| 263 |
+
"grounded"
|
| 264 |
+
],
|
| 265 |
+
"flip": "fake modesty, master of the humblebrag"
|
| 266 |
+
},
|
| 267 |
+
"healthy": {
|
| 268 |
+
"synonyms": [
|
| 269 |
+
"health-conscious",
|
| 270 |
+
"eats clean",
|
| 271 |
+
"into wellness",
|
| 272 |
+
"never eats junk"
|
| 273 |
+
],
|
| 274 |
+
"flip": "kale preacher who judges your lunch"
|
| 275 |
+
},
|
| 276 |
+
"romantic": {
|
| 277 |
+
"synonyms": [
|
| 278 |
+
"sweet",
|
| 279 |
+
"affectionate",
|
| 280 |
+
"a hopeless romantic",
|
| 281 |
+
"lovey-dovey"
|
| 282 |
+
],
|
| 283 |
+
"flip": "cheesy and over the top"
|
| 284 |
+
},
|
| 285 |
+
"responsible": {
|
| 286 |
+
"synonyms": [
|
| 287 |
+
"reliable",
|
| 288 |
+
"mature",
|
| 289 |
+
"trustworthy",
|
| 290 |
+
"the adult in the room"
|
| 291 |
+
],
|
| 292 |
+
"flip": "the no-fun parent of the friend group"
|
| 293 |
+
},
|
| 294 |
+
"curious": {
|
| 295 |
+
"synonyms": [
|
| 296 |
+
"inquisitive",
|
| 297 |
+
"always asking why",
|
| 298 |
+
"interested in everything",
|
| 299 |
+
"eager to learn"
|
| 300 |
+
],
|
| 301 |
+
"flip": "nosy, asks way too many questions"
|
| 302 |
+
},
|
| 303 |
+
"entrepreneurial": {
|
| 304 |
+
"synonyms": [
|
| 305 |
+
"business-minded",
|
| 306 |
+
"a hustler",
|
| 307 |
+
"runs a startup",
|
| 308 |
+
"enterprising"
|
| 309 |
+
],
|
| 310 |
+
"flip": "side-hustle guy pitching crypto at dinner"
|
| 311 |
+
},
|
| 312 |
+
"wise": {
|
| 313 |
+
"synonyms": [
|
| 314 |
+
"insightful",
|
| 315 |
+
"sage",
|
| 316 |
+
"gives good advice",
|
| 317 |
+
"an old soul"
|
| 318 |
+
],
|
| 319 |
+
"flip": "fortune-cookie philosopher with unsolicited advice"
|
| 320 |
+
},
|
| 321 |
+
"eloquent": {
|
| 322 |
+
"synonyms": [
|
| 323 |
+
"articulate",
|
| 324 |
+
"well-spoken",
|
| 325 |
+
"a good speaker",
|
| 326 |
+
"great with words"
|
| 327 |
+
],
|
| 328 |
+
"flip": "uses big words to hear their own voice"
|
| 329 |
+
},
|
| 330 |
+
"punctual": {
|
| 331 |
+
"synonyms": [
|
| 332 |
+
"on time",
|
| 333 |
+
"never late",
|
| 334 |
+
"early for everything",
|
| 335 |
+
"prompt"
|
| 336 |
+
],
|
| 337 |
+
"flip": "judges everyone who's a minute late"
|
| 338 |
+
},
|
| 339 |
+
"patient": {
|
| 340 |
+
"synonyms": [
|
| 341 |
+
"tolerant",
|
| 342 |
+
"unhurried",
|
| 343 |
+
"can wait forever",
|
| 344 |
+
"even-tempered"
|
| 345 |
+
],
|
| 346 |
+
"flip": "so slow they never get anything done"
|
| 347 |
+
},
|
| 348 |
+
"worldly": {
|
| 349 |
+
"synonyms": [
|
| 350 |
+
"well-traveled",
|
| 351 |
+
"a globetrotter",
|
| 352 |
+
"been everywhere",
|
| 353 |
+
"cultured"
|
| 354 |
+
],
|
| 355 |
+
"flip": "won't stop saying 'when I was in Bali'"
|
| 356 |
+
},
|
| 357 |
+
"frugal": {
|
| 358 |
+
"synonyms": [
|
| 359 |
+
"thrifty",
|
| 360 |
+
"good with money",
|
| 361 |
+
"saves everything",
|
| 362 |
+
"budget-savvy"
|
| 363 |
+
],
|
| 364 |
+
"flip": "cheapskate who splits the bill to the cent"
|
| 365 |
+
}
|
| 366 |
+
},
|
| 367 |
+
"epoch": 4,
|
| 368 |
+
"lr": 5e-05,
|
| 369 |
+
"seed": 42,
|
| 370 |
+
"val": {
|
| 371 |
+
"n": 723,
|
| 372 |
+
"positives": 402,
|
| 373 |
+
"auc": 0.9774492025852048,
|
| 374 |
+
"accuracy": 0.9571230982019364,
|
| 375 |
+
"precision": 0.9427207637231504,
|
| 376 |
+
"recall": 0.9825870646766169,
|
| 377 |
+
"f1": 0.9622411693057248,
|
| 378 |
+
"by_type": {
|
| 379 |
+
"flat": {
|
| 380 |
+
"n": 38,
|
| 381 |
+
"mean_score": 0.08649065687572338,
|
| 382 |
+
"scored_fit": 0.07894736842105263
|
| 383 |
+
},
|
| 384 |
+
"non_rhyming": {
|
| 385 |
+
"n": 46,
|
| 386 |
+
"mean_score": 0.0009681683453812224,
|
| 387 |
+
"scored_fit": 0.0
|
| 388 |
+
},
|
| 389 |
+
"off_topic": {
|
| 390 |
+
"n": 70,
|
| 391 |
+
"mean_score": 0.0011165548997398998,
|
| 392 |
+
"scored_fit": 0.0
|
| 393 |
+
},
|
| 394 |
+
"positive": {
|
| 395 |
+
"n": 402,
|
| 396 |
+
"mean_score": 0.9695785399225184,
|
| 397 |
+
"scored_fit": 0.9825870646766169
|
| 398 |
+
},
|
| 399 |
+
"shuffled": {
|
| 400 |
+
"n": 80,
|
| 401 |
+
"mean_score": 0.2100172968413972,
|
| 402 |
+
"scored_fit": 0.2125
|
| 403 |
+
},
|
| 404 |
+
"wrong_trait": {
|
| 405 |
+
"n": 87,
|
| 406 |
+
"mean_score": 0.05152666364895479,
|
| 407 |
+
"scored_fit": 0.04597701149425287
|
| 408 |
+
}
|
| 409 |
+
}
|
| 410 |
+
}
|
| 411 |
+
}
|