pretrain_model and pretrain_model_token
Browse files- README.md +202 -0
- adapter_config.json +15 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +938 -0
- trainer_state.json +2404 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
base_model: google/flan-t5-base
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| 3 |
+
library_name: peft
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| 4 |
+
---
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| 5 |
+
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| 6 |
+
# Model Card for Model ID
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| 7 |
+
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| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
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| 10 |
+
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| 11 |
+
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| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
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| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
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| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
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| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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| 87 |
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| 88 |
+
#### Preprocessing [optional]
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| 89 |
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|
| 90 |
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[More Information Needed]
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| 91 |
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|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
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| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
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| 98 |
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|
| 99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 100 |
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| 101 |
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[More Information Needed]
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| 102 |
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|
| 103 |
+
## Evaluation
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| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
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| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
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| 108 |
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| 109 |
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#### Testing Data
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| 110 |
+
|
| 111 |
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<!-- This should link to a Dataset Card if possible. -->
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| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
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| 116 |
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|
| 117 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
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| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
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| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 124 |
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| 125 |
+
[More Information Needed]
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| 126 |
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|
| 127 |
+
### Results
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| 128 |
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| 129 |
+
[More Information Needed]
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| 130 |
+
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| 131 |
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#### Summary
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| 132 |
+
|
| 133 |
+
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| 134 |
+
|
| 135 |
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## Model Examination [optional]
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| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
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| 138 |
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| 139 |
+
[More Information Needed]
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| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
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| 148 |
+
- **Hours used:** [More Information Needed]
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| 149 |
+
- **Cloud Provider:** [More Information Needed]
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| 150 |
+
- **Compute Region:** [More Information Needed]
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| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
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| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
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| 156 |
+
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| 157 |
+
[More Information Needed]
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| 158 |
+
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| 159 |
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### Compute Infrastructure
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| 160 |
+
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| 161 |
+
[More Information Needed]
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| 162 |
+
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| 163 |
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#### Hardware
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| 164 |
+
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
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#### Software
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| 168 |
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| 169 |
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[More Information Needed]
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| 170 |
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| 171 |
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## Citation [optional]
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| 172 |
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| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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| 174 |
+
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| 175 |
+
**BibTeX:**
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| 176 |
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| 177 |
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[More Information Needed]
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| 178 |
+
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| 179 |
+
**APA:**
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| 180 |
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| 181 |
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[More Information Needed]
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| 182 |
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| 183 |
+
## Glossary [optional]
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| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 186 |
+
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| 187 |
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[More Information Needed]
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| 188 |
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| 189 |
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## More Information [optional]
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| 190 |
+
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| 191 |
+
[More Information Needed]
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| 192 |
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| 193 |
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## Model Card Authors [optional]
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| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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## Model Card Contact
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| 198 |
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[More Information Needed]
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| 200 |
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### Framework versions
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| 201 |
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| 202 |
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- PEFT 0.12.0
|
adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "google/flan-t5-base",
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"encoder_hidden_size": 768,
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"inference_mode": true,
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"num_attention_heads": 12,
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"num_layers": 12,
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"num_transformer_submodules": 2,
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"num_virtual_tokens": 10,
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"peft_type": "PREFIX_TUNING",
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"prefix_projection": false,
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"revision": null,
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"task_type": "SEQ_2_SEQ_LM",
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"token_dim": 768
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:50e5f56cb93e24519f87e06380a4cc165e236a5672284e023124d8b8c4312b6a
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| 3 |
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size 737408
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optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:a1668a50bc4fc5ae4ac8fd5df156755023b953a0faa22f5edffea9330864a0cb
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| 3 |
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size 1476706
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:5ae8573da8e876fe7f247a4c33de1fa7a0566597332f73823e08b18a4a13a070
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| 3 |
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size 14244
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scheduler.pt
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:fc0c458265c2047c4bc0087443c96faa043c845ded72e30ee4cd296ade663989
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size 1064
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special_tokens_map.json
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{
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| 2 |
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"additional_special_tokens": [
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| 3 |
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"<extra_id_0>",
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| 4 |
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"<extra_id_1>",
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| 5 |
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"<extra_id_2>",
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"<extra_id_3>",
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"<extra_id_4>",
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"<extra_id_5>",
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"<extra_id_6>",
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"<extra_id_7>",
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"<extra_id_8>",
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"<extra_id_9>",
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"<extra_id_10>",
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"<extra_id_11>",
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| 15 |
+
"<extra_id_12>",
|
| 16 |
+
"<extra_id_13>",
|
| 17 |
+
"<extra_id_14>",
|
| 18 |
+
"<extra_id_15>",
|
| 19 |
+
"<extra_id_16>",
|
| 20 |
+
"<extra_id_17>",
|
| 21 |
+
"<extra_id_18>",
|
| 22 |
+
"<extra_id_19>",
|
| 23 |
+
"<extra_id_20>",
|
| 24 |
+
"<extra_id_21>",
|
| 25 |
+
"<extra_id_22>",
|
| 26 |
+
"<extra_id_23>",
|
| 27 |
+
"<extra_id_24>",
|
| 28 |
+
"<extra_id_25>",
|
| 29 |
+
"<extra_id_26>",
|
| 30 |
+
"<extra_id_27>",
|
| 31 |
+
"<extra_id_28>",
|
| 32 |
+
"<extra_id_29>",
|
| 33 |
+
"<extra_id_30>",
|
| 34 |
+
"<extra_id_31>",
|
| 35 |
+
"<extra_id_32>",
|
| 36 |
+
"<extra_id_33>",
|
| 37 |
+
"<extra_id_34>",
|
| 38 |
+
"<extra_id_35>",
|
| 39 |
+
"<extra_id_36>",
|
| 40 |
+
"<extra_id_37>",
|
| 41 |
+
"<extra_id_38>",
|
| 42 |
+
"<extra_id_39>",
|
| 43 |
+
"<extra_id_40>",
|
| 44 |
+
"<extra_id_41>",
|
| 45 |
+
"<extra_id_42>",
|
| 46 |
+
"<extra_id_43>",
|
| 47 |
+
"<extra_id_44>",
|
| 48 |
+
"<extra_id_45>",
|
| 49 |
+
"<extra_id_46>",
|
| 50 |
+
"<extra_id_47>",
|
| 51 |
+
"<extra_id_48>",
|
| 52 |
+
"<extra_id_49>",
|
| 53 |
+
"<extra_id_50>",
|
| 54 |
+
"<extra_id_51>",
|
| 55 |
+
"<extra_id_52>",
|
| 56 |
+
"<extra_id_53>",
|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": {
|
| 105 |
+
"content": "</s>",
|
| 106 |
+
"lstrip": false,
|
| 107 |
+
"normalized": false,
|
| 108 |
+
"rstrip": false,
|
| 109 |
+
"single_word": false
|
| 110 |
+
},
|
| 111 |
+
"pad_token": {
|
| 112 |
+
"content": "<pad>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"unk_token": {
|
| 119 |
+
"content": "<unk>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
}
|
| 125 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,938 @@
|
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| 1 |
+
{
|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 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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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 145 |
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| 146 |
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| 147 |
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| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 158 |
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| 159 |
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| 160 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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|
| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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| 210 |
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| 212 |
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| 218 |
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| 219 |
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| 220 |
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| 226 |
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| 228 |
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| 234 |
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| 726 |
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|
| 727 |
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|
| 728 |
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"single_word": false,
|
| 729 |
+
"special": true
|
| 730 |
+
},
|
| 731 |
+
"32088": {
|
| 732 |
+
"content": "<extra_id_11>",
|
| 733 |
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|
| 734 |
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"normalized": false,
|
| 735 |
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|
| 736 |
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"single_word": false,
|
| 737 |
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"special": true
|
| 738 |
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},
|
| 739 |
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"32089": {
|
| 740 |
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"content": "<extra_id_10>",
|
| 741 |
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|
| 742 |
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|
| 743 |
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|
| 744 |
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|
| 745 |
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"special": true
|
| 746 |
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|
| 747 |
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"32090": {
|
| 748 |
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|
| 749 |
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|
| 750 |
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|
| 751 |
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|
| 752 |
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|
| 753 |
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|
| 754 |
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|
| 755 |
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"32091": {
|
| 756 |
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|
| 757 |
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|
| 758 |
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|
| 759 |
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|
| 760 |
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|
| 761 |
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|
| 762 |
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|
| 763 |
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"32092": {
|
| 764 |
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|
| 765 |
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|
| 766 |
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|
| 767 |
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|
| 768 |
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|
| 769 |
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|
| 770 |
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|
| 771 |
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"32093": {
|
| 772 |
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|
| 773 |
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|
| 774 |
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|
| 775 |
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|
| 776 |
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|
| 777 |
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|
| 778 |
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},
|
| 779 |
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|
| 780 |
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|
| 781 |
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|
| 782 |
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|
| 783 |
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|
| 784 |
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|
| 785 |
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|
| 786 |
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|
| 787 |
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|
| 788 |
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|
| 789 |
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|
| 790 |
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|
| 791 |
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|
| 792 |
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|
| 793 |
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"special": true
|
| 794 |
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},
|
| 795 |
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"32096": {
|
| 796 |
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|
| 797 |
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|
| 798 |
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|
| 799 |
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|
| 800 |
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| 801 |
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|
| 802 |
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| 803 |
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|
| 804 |
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| 805 |
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| 806 |
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| 807 |
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| 808 |
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| 809 |
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|
| 810 |
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},
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| 811 |
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|
| 812 |
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| 813 |
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| 814 |
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| 815 |
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| 816 |
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| 817 |
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| 818 |
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},
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| 819 |
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| 820 |
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| 821 |
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| 822 |
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"normalized": false,
|
| 823 |
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| 824 |
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|
| 825 |
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|
| 826 |
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|
| 827 |
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},
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| 828 |
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|
| 829 |
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| 830 |
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| 832 |
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| 833 |
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| 834 |
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| 839 |
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| 840 |
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| 841 |
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| 842 |
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| 843 |
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| 844 |
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| 845 |
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| 846 |
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| 847 |
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| 848 |
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| 849 |
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| 850 |
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| 851 |
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| 852 |
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| 853 |
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| 854 |
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| 855 |
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| 856 |
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| 857 |
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| 858 |
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| 859 |
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| 860 |
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| 861 |
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| 862 |
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| 863 |
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| 864 |
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| 865 |
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| 866 |
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| 867 |
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| 868 |
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| 869 |
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| 870 |
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| 871 |
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|
| 872 |
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"<extra_id_43>",
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| 873 |
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| 874 |
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"<extra_id_45>",
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| 875 |
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| 876 |
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| 877 |
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| 878 |
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|
| 879 |
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|
| 880 |
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"<extra_id_51>",
|
| 881 |
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|
| 882 |
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"<extra_id_53>",
|
| 883 |
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"<extra_id_54>",
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| 884 |
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"<extra_id_55>",
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| 885 |
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| 886 |
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| 887 |
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| 888 |
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| 889 |
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| 890 |
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| 891 |
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| 892 |
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"<extra_id_63>",
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| 893 |
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"<extra_id_64>",
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| 894 |
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"<extra_id_65>",
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| 895 |
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"<extra_id_66>",
|
| 896 |
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"<extra_id_67>",
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| 897 |
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"<extra_id_68>",
|
| 898 |
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"<extra_id_69>",
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| 899 |
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"<extra_id_70>",
|
| 900 |
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"<extra_id_71>",
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| 901 |
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| 902 |
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| 903 |
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| 904 |
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| 905 |
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| 906 |
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| 907 |
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| 908 |
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| 909 |
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|
| 910 |
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| 911 |
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| 912 |
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| 913 |
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| 914 |
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| 915 |
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| 916 |
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|
| 917 |
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"<extra_id_88>",
|
| 918 |
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|
| 919 |
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|
| 920 |
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"<extra_id_91>",
|
| 921 |
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"<extra_id_92>",
|
| 922 |
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"<extra_id_93>",
|
| 923 |
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"<extra_id_94>",
|
| 924 |
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"<extra_id_95>",
|
| 925 |
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"<extra_id_96>",
|
| 926 |
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"<extra_id_97>",
|
| 927 |
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"<extra_id_98>",
|
| 928 |
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"<extra_id_99>"
|
| 929 |
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],
|
| 930 |
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"clean_up_tokenization_spaces": true,
|
| 931 |
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"eos_token": "</s>",
|
| 932 |
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"extra_ids": 100,
|
| 933 |
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"model_max_length": 512,
|
| 934 |
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"pad_token": "<pad>",
|
| 935 |
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"sp_model_kwargs": {},
|
| 936 |
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"tokenizer_class": "T5Tokenizer",
|
| 937 |
+
"unk_token": "<unk>"
|
| 938 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2404 @@
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