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- Prompt_Inverter/.ipynb_checkpoints/trainer_log-checkpoint.jsonl +0 -0
- Prompt_Inverter/.ipynb_checkpoints/training_loss-checkpoint.png +0 -0
- Prompt_Inverter/adapter_config.json +31 -0
- Prompt_Inverter/adapter_model.safetensors +3 -0
- Prompt_Inverter/added_tokens.json +13 -0
- Prompt_Inverter/all_results.json +8 -0
- Prompt_Inverter/checkpoint-12000/README.md +202 -0
- Prompt_Inverter/checkpoint-12000/adapter_config.json +31 -0
- Prompt_Inverter/checkpoint-12000/adapter_model.safetensors +3 -0
- Prompt_Inverter/checkpoint-12000/added_tokens.json +13 -0
- Prompt_Inverter/checkpoint-12000/optimizer.pt +3 -0
- Prompt_Inverter/checkpoint-12000/rng_state_0.pth +3 -0
- Prompt_Inverter/checkpoint-12000/rng_state_1.pth +3 -0
- Prompt_Inverter/checkpoint-12000/rng_state_2.pth +3 -0
- Prompt_Inverter/checkpoint-12000/rng_state_3.pth +3 -0
- Prompt_Inverter/checkpoint-12000/rng_state_4.pth +3 -0
- Prompt_Inverter/checkpoint-12000/rng_state_5.pth +3 -0
- Prompt_Inverter/checkpoint-12000/scheduler.pt +3 -0
- Prompt_Inverter/checkpoint-12000/special_tokens_map.json +30 -0
- Prompt_Inverter/checkpoint-12000/tokenizer.json +0 -0
- Prompt_Inverter/checkpoint-12000/tokenizer.model +3 -0
- Prompt_Inverter/checkpoint-12000/tokenizer_config.json +132 -0
- Prompt_Inverter/checkpoint-12000/trainer_state.json +0 -0
- Prompt_Inverter/checkpoint-12000/training_args.bin +3 -0
- Prompt_Inverter/checkpoint-13041/README.md +202 -0
- Prompt_Inverter/checkpoint-13041/adapter_config.json +31 -0
- Prompt_Inverter/checkpoint-13041/adapter_model.safetensors +3 -0
- Prompt_Inverter/checkpoint-13041/added_tokens.json +13 -0
- Prompt_Inverter/checkpoint-13041/optimizer.pt +3 -0
- Prompt_Inverter/checkpoint-13041/rng_state_0.pth +3 -0
- Prompt_Inverter/checkpoint-13041/rng_state_1.pth +3 -0
- Prompt_Inverter/checkpoint-13041/rng_state_2.pth +3 -0
- Prompt_Inverter/checkpoint-13041/rng_state_3.pth +3 -0
- Prompt_Inverter/checkpoint-13041/rng_state_4.pth +3 -0
- Prompt_Inverter/checkpoint-13041/rng_state_5.pth +3 -0
- Prompt_Inverter/checkpoint-13041/scheduler.pt +3 -0
- Prompt_Inverter/checkpoint-13041/special_tokens_map.json +30 -0
- Prompt_Inverter/checkpoint-13041/tokenizer.json +0 -0
- Prompt_Inverter/checkpoint-13041/tokenizer.model +3 -0
- Prompt_Inverter/checkpoint-13041/tokenizer_config.json +132 -0
- Prompt_Inverter/checkpoint-13041/trainer_state.json +0 -0
- Prompt_Inverter/checkpoint-13041/training_args.bin +3 -0
- Prompt_Inverter/checkpoint-3000/README.md +202 -0
- Prompt_Inverter/checkpoint-3000/adapter_config.json +31 -0
- Prompt_Inverter/checkpoint-3000/adapter_model.safetensors +3 -0
- Prompt_Inverter/checkpoint-3000/added_tokens.json +13 -0
- Prompt_Inverter/checkpoint-3000/optimizer.pt +3 -0
- Prompt_Inverter/checkpoint-3000/rng_state_0.pth +3 -0
- Prompt_Inverter/checkpoint-3000/rng_state_1.pth +3 -0
- Prompt_Inverter/checkpoint-3000/rng_state_2.pth +3 -0
Prompt_Inverter/.ipynb_checkpoints/trainer_log-checkpoint.jsonl
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Prompt_Inverter/.ipynb_checkpoints/training_loss-checkpoint.png
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Prompt_Inverter/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/root/autodl-tmp/LLM-Research/Phi-3-medium-128k-instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"down_proj",
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"qkv_proj",
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"gate_up_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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Prompt_Inverter/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d04470fed8c08e5c59d6c1f3f08318042d34e0e73babc3dc0be64721e9ed8e8
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size 111454040
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Prompt_Inverter/added_tokens.json
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{
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"<|endoftext|>": 32000,
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"<|user|>": 32010
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}
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Prompt_Inverter/all_results.json
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{
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"epoch": 2.9998274771407214,
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"total_flos": 3.5376153388075975e+19,
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"train_loss": 0.79218550890595,
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"train_runtime": 72308.2809,
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"train_samples_per_second": 25.972,
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"train_steps_per_second": 0.18
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}
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Prompt_Inverter/checkpoint-12000/README.md
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| 1 |
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---
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| 2 |
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base_model: /root/autodl-tmp/LLM-Research/Phi-3-medium-128k-instruct
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library_name: peft
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---
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| 5 |
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| 6 |
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# 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. -->
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| 9 |
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| 10 |
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## Model Details
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### Model Description
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| 15 |
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<!-- Provide a longer summary of what this model is. -->
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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- **Developed by:** [More Information Needed]
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| 21 |
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- **Funded by [optional]:** [More Information Needed]
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| 22 |
+
- **Shared by [optional]:** [More Information Needed]
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| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
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- **License:** [More Information Needed]
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| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
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| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
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|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
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| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
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|
| 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 |
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### Direct Use
|
| 41 |
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|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
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[More Information Needed]
|
| 45 |
+
|
| 46 |
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### Downstream Use [optional]
|
| 47 |
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|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
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[More Information Needed]
|
| 51 |
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|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
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|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
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|
| 56 |
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[More Information Needed]
|
| 57 |
+
|
| 58 |
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## Bias, Risks, and Limitations
|
| 59 |
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|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
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| 62 |
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[More Information Needed]
|
| 63 |
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|
| 64 |
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### Recommendations
|
| 65 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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| 69 |
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## How to Get Started with the Model
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| 71 |
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| 72 |
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Use the code below to get started with the model.
|
| 73 |
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|
| 74 |
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[More Information Needed]
|
| 75 |
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|
| 76 |
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## Training Details
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| 77 |
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|
| 78 |
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### Training Data
|
| 79 |
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| 80 |
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<!-- 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 |
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[More Information Needed]
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|
| 84 |
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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| 87 |
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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| 94 |
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| 95 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 97 |
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#### Speeds, Sizes, Times [optional]
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| 98 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
|
| 102 |
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## Evaluation
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| 104 |
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| 105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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| 108 |
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#### Testing Data
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| 110 |
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| 111 |
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<!-- This should link to a Dataset Card if possible. -->
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| 112 |
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| 113 |
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[More Information Needed]
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| 114 |
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#### Factors
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| 116 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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| 132 |
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## Model Examination [optional]
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| 136 |
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| 137 |
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<!-- Relevant interpretability work for the model goes here -->
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| 138 |
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[More Information Needed]
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| 140 |
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|
| 141 |
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## Environmental Impact
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| 142 |
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| 143 |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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| 144 |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
|
| 148 |
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- **Hours used:** [More Information Needed]
|
| 149 |
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- **Cloud Provider:** [More Information Needed]
|
| 150 |
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- **Compute Region:** [More Information Needed]
|
| 151 |
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- **Carbon Emitted:** [More Information Needed]
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| 152 |
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|
| 153 |
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## Technical Specifications [optional]
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| 154 |
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| 155 |
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### Model Architecture and Objective
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| 156 |
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| 157 |
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[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 |
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[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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## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
Prompt_Inverter/checkpoint-12000/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
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|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/root/autodl-tmp/LLM-Research/Phi-3-medium-128k-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"o_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"qkv_proj",
|
| 26 |
+
"gate_up_proj"
|
| 27 |
+
],
|
| 28 |
+
"task_type": "CAUSAL_LM",
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
Prompt_Inverter/checkpoint-12000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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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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| 2 |
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|
| 3 |
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size 111454040
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Prompt_Inverter/checkpoint-12000/added_tokens.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
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|
| 1 |
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{
|
| 2 |
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"<|assistant|>": 32001,
|
| 3 |
+
"<|endoftext|>": 32000,
|
| 4 |
+
"<|end|>": 32007,
|
| 5 |
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"<|placeholder1|>": 32002,
|
| 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 |
+
"<|system|>": 32006,
|
| 12 |
+
"<|user|>": 32010
|
| 13 |
+
}
|
Prompt_Inverter/checkpoint-12000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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| 1 |
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|
| 3 |
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Prompt_Inverter/checkpoint-12000/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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Prompt_Inverter/checkpoint-12000/rng_state_1.pth
ADDED
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Prompt_Inverter/checkpoint-12000/rng_state_2.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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Prompt_Inverter/checkpoint-12000/rng_state_3.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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size 15472
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Prompt_Inverter/checkpoint-12000/rng_state_4.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 15472
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Prompt_Inverter/checkpoint-12000/rng_state_5.pth
ADDED
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|
| 3 |
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size 15472
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Prompt_Inverter/checkpoint-12000/scheduler.pt
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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| 3 |
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size 1064
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Prompt_Inverter/checkpoint-12000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
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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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|
| 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 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
Prompt_Inverter/checkpoint-12000/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
Prompt_Inverter/checkpoint-12000/tokenizer.model
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 sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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| 3 |
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size 499723
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Prompt_Inverter/checkpoint-12000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,132 @@
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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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|
| 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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"1": {
|
| 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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"2": {
|
| 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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"32000": {
|
| 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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"32001": {
|
| 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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| 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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"32005": {
|
| 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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},
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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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"32010": {
|
| 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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"bos_token": "<s>",
|
| 120 |
+
"chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message + '<|end|>\n' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|end|>\n<|assistant|>\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|end|>' + '\n' }}{% endif %}{% endfor %}",
|
| 121 |
+
"clean_up_tokenization_spaces": false,
|
| 122 |
+
"eos_token": "<|end|>",
|
| 123 |
+
"legacy": false,
|
| 124 |
+
"model_max_length": 131072,
|
| 125 |
+
"pad_token": "<|endoftext|>",
|
| 126 |
+
"padding_side": "right",
|
| 127 |
+
"sp_model_kwargs": {},
|
| 128 |
+
"split_special_tokens": false,
|
| 129 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 130 |
+
"unk_token": "<unk>",
|
| 131 |
+
"use_default_system_prompt": false
|
| 132 |
+
}
|
Prompt_Inverter/checkpoint-12000/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Prompt_Inverter/checkpoint-12000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d8f6de013aab425894a27d344f921fb9b815c361826766695499df037da5c94
|
| 3 |
+
size 5432
|
Prompt_Inverter/checkpoint-13041/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: /root/autodl-tmp/LLM-Research/Phi-3-medium-128k-instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 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]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 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 -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 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]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
Prompt_Inverter/checkpoint-13041/adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "/root/autodl-tmp/LLM-Research/Phi-3-medium-128k-instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"o_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"qkv_proj",
|
| 26 |
+
"gate_up_proj"
|
| 27 |
+
],
|
| 28 |
+
"task_type": "CAUSAL_LM",
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
Prompt_Inverter/checkpoint-13041/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3d04470fed8c08e5c59d6c1f3f08318042d34e0e73babc3dc0be64721e9ed8e8
|
| 3 |
+
size 111454040
|
Prompt_Inverter/checkpoint-13041/added_tokens.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|assistant|>": 32001,
|
| 3 |
+
"<|endoftext|>": 32000,
|
| 4 |
+
"<|end|>": 32007,
|
| 5 |
+
"<|placeholder1|>": 32002,
|
| 6 |
+
"<|placeholder2|>": 32003,
|
| 7 |
+
"<|placeholder3|>": 32004,
|
| 8 |
+
"<|placeholder4|>": 32005,
|
| 9 |
+
"<|placeholder5|>": 32008,
|
| 10 |
+
"<|placeholder6|>": 32009,
|
| 11 |
+
"<|system|>": 32006,
|
| 12 |
+
"<|user|>": 32010
|
| 13 |
+
}
|
Prompt_Inverter/checkpoint-13041/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c53f885a5675f5aa8b9184fb8ff397b169e7ff3821f0ad1f95f1391b3fa1b15
|
| 3 |
+
size 223091194
|
Prompt_Inverter/checkpoint-13041/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e008f6418e841a4daab52906b53a3946f8a14520652af23a8474d1ba63ee89d8
|
| 3 |
+
size 15472
|
Prompt_Inverter/checkpoint-13041/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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ADDED
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Prompt_Inverter/checkpoint-13041/scheduler.pt
ADDED
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size 1064
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Prompt_Inverter/checkpoint-13041/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
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| 22 |
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| 24 |
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|
| 29 |
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| 30 |
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|
Prompt_Inverter/checkpoint-13041/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Prompt_Inverter/checkpoint-13041/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
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size 499723
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Prompt_Inverter/checkpoint-13041/tokenizer_config.json
ADDED
|
@@ -0,0 +1,132 @@
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|
| 6 |
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|
| 13 |
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|
| 15 |
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|
| 16 |
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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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"2": {
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| 23 |
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|
| 24 |
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| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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},
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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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|
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| 44 |
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| 51 |
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|
| 53 |
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|
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| 64 |
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| 66 |
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|
| 67 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
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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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|
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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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|
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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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|
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 106 |
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|
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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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"special": true
|
| 117 |
+
}
|
| 118 |
+
},
|
| 119 |
+
"bos_token": "<s>",
|
| 120 |
+
"chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message + '<|end|>\n' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|end|>\n<|assistant|>\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|end|>' + '\n' }}{% endif %}{% endfor %}",
|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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"model_max_length": 131072,
|
| 125 |
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"pad_token": "<|endoftext|>",
|
| 126 |
+
"padding_side": "right",
|
| 127 |
+
"sp_model_kwargs": {},
|
| 128 |
+
"split_special_tokens": false,
|
| 129 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 130 |
+
"unk_token": "<unk>",
|
| 131 |
+
"use_default_system_prompt": false
|
| 132 |
+
}
|
Prompt_Inverter/checkpoint-13041/trainer_state.json
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|
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Prompt_Inverter/checkpoint-13041/training_args.bin
ADDED
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 3 |
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size 5432
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Prompt_Inverter/checkpoint-3000/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /root/autodl-tmp/LLM-Research/Phi-3-medium-128k-instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
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| 6 |
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.12.0
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Prompt_Inverter/checkpoint-3000/adapter_config.json
ADDED
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@@ -0,0 +1,31 @@
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{
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"alpha_pattern": {},
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"auto_mapping": null,
|
| 4 |
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"base_model_name_or_path": "/root/autodl-tmp/LLM-Research/Phi-3-medium-128k-instruct",
|
| 5 |
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"bias": "none",
|
| 6 |
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"fan_in_fan_out": false,
|
| 7 |
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"inference_mode": true,
|
| 8 |
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"init_lora_weights": true,
|
| 9 |
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"layer_replication": null,
|
| 10 |
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"layers_pattern": null,
|
| 11 |
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"layers_to_transform": null,
|
| 12 |
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"loftq_config": {},
|
| 13 |
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"lora_alpha": 16,
|
| 14 |
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"lora_dropout": 0.0,
|
| 15 |
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"megatron_config": null,
|
| 16 |
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"megatron_core": "megatron.core",
|
| 17 |
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"modules_to_save": null,
|
| 18 |
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"peft_type": "LORA",
|
| 19 |
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"r": 8,
|
| 20 |
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"rank_pattern": {},
|
| 21 |
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"revision": null,
|
| 22 |
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"target_modules": [
|
| 23 |
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"o_proj",
|
| 24 |
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"down_proj",
|
| 25 |
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"qkv_proj",
|
| 26 |
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"gate_up_proj"
|
| 27 |
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],
|
| 28 |
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"task_type": "CAUSAL_LM",
|
| 29 |
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"use_dora": false,
|
| 30 |
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"use_rslora": false
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| 31 |
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}
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Prompt_Inverter/checkpoint-3000/adapter_model.safetensors
ADDED
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@@ -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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| 2 |
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oid sha256:817458930d6887a6d48009cb9d26aa756db0bb2ef626bfdaf5c9d3841c7f618a
|
| 3 |
+
size 111454040
|
Prompt_Inverter/checkpoint-3000/added_tokens.json
ADDED
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@@ -0,0 +1,13 @@
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{
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| 2 |
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"<|assistant|>": 32001,
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| 3 |
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"<|endoftext|>": 32000,
|
| 4 |
+
"<|end|>": 32007,
|
| 5 |
+
"<|placeholder1|>": 32002,
|
| 6 |
+
"<|placeholder2|>": 32003,
|
| 7 |
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"<|placeholder3|>": 32004,
|
| 8 |
+
"<|placeholder4|>": 32005,
|
| 9 |
+
"<|placeholder5|>": 32008,
|
| 10 |
+
"<|placeholder6|>": 32009,
|
| 11 |
+
"<|system|>": 32006,
|
| 12 |
+
"<|user|>": 32010
|
| 13 |
+
}
|
Prompt_Inverter/checkpoint-3000/optimizer.pt
ADDED
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@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b9589ca58234b734bd78e273f816d7a9db3bc38ab4cc800ad7aab1d117d0598
|
| 3 |
+
size 223091194
|
Prompt_Inverter/checkpoint-3000/rng_state_0.pth
ADDED
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@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09dd3f2f5832603dcaa1dce80e484d710a72ccbec09725f07ea0c8d89fe0323c
|
| 3 |
+
size 15472
|
Prompt_Inverter/checkpoint-3000/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5768829449c2d0e3fca49153c385615c1c10b3b1aa1ff1e6003275561bb76d9a
|
| 3 |
+
size 15472
|
Prompt_Inverter/checkpoint-3000/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:855c155ea1c6043f431114925192f8f31b1c87591b0c4c42afb088058cc48a7d
|
| 3 |
+
size 15472
|