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Delete aliceinwonderland-llama3
Browse files- aliceinwonderland-llama3/README.md +0 -202
- aliceinwonderland-llama3/adapter_config.json +0 -27
- aliceinwonderland-llama3/adapter_model.bin +0 -3
- aliceinwonderland-llama3/checkpoint-13-loss-0_98/README.md +0 -202
- aliceinwonderland-llama3/checkpoint-13-loss-0_98/adapter_config.json +0 -27
- aliceinwonderland-llama3/checkpoint-13-loss-0_98/adapter_model.bin +0 -3
- aliceinwonderland-llama3/checkpoint-13-loss-0_98/training_log.json +0 -14
- aliceinwonderland-llama3/checkpoint-13-loss-0_98/training_prompt.json +0 -3
- aliceinwonderland-llama3/checkpoint-392-loss-0_86/README.md +0 -202
- aliceinwonderland-llama3/checkpoint-392-loss-0_86/adapter_config.json +0 -27
- aliceinwonderland-llama3/checkpoint-392-loss-0_86/adapter_model.bin +0 -3
- aliceinwonderland-llama3/checkpoint-392-loss-0_86/training_log.json +0 -14
- aliceinwonderland-llama3/checkpoint-392-loss-0_86/training_prompt.json +0 -3
- aliceinwonderland-llama3/runs/Jun04_16-40-59_DESKTOP-7QRHF82/events.out.tfevents.1717537260.DESKTOP-7QRHF82.4688.0 +0 -3
- aliceinwonderland-llama3/training_graph.json +0 -2948
- aliceinwonderland-llama3/training_graph.png +0 -0
- aliceinwonderland-llama3/training_log.json +0 -19
- aliceinwonderland-llama3/training_parameters.json +0 -37
- aliceinwonderland-llama3/training_prompt.json +0 -3
aliceinwonderland-llama3/README.md
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---
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library_name: peft
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base_model: models\Meta-Llama-3-8b
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---
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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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- **Developed by:** [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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- **Repository:** [More Information Needed]
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## Uses
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### Direct Use
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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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[More Information Needed]
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## Bias, Risks, and 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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[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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[More Information Needed]
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## Evaluation
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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[More Information Needed]
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#### Metrics
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### Results
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#### Summary
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## Model Examination [optional]
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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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#### Hardware
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#### Software
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## Citation [optional]
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**BibTeX:**
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[More Information Needed]
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**APA:**
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## Glossary [optional]
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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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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.8.2
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aliceinwonderland-llama3/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": "models\\Meta-Llama-3-8b",
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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": 64,
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"lora_dropout": 0.05,
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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": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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}
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c8aea5a6c4a4dd8d4e7b4abc49349557f05d86a74217158bf968ca948c06ed5
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size 54572362
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aliceinwonderland-llama3/checkpoint-13-loss-0_98/README.md
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---
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library_name: peft
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base_model: models\Meta-Llama-3-8b
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---
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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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| 59 |
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|
| 60 |
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<!-- 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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| 66 |
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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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| 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.
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| 69 |
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| 70 |
-
## How to Get Started with the Model
|
| 71 |
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| 72 |
-
Use the code below to get started with the model.
|
| 73 |
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| 74 |
-
[More Information Needed]
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| 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
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| 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. -->
|
| 81 |
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| 82 |
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[More Information Needed]
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| 83 |
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| 84 |
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### Training Procedure
|
| 85 |
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| 86 |
-
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
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| 88 |
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#### Preprocessing [optional]
|
| 89 |
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| 90 |
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[More Information Needed]
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| 91 |
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| 92 |
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| 93 |
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#### Training Hyperparameters
|
| 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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| 96 |
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| 97 |
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#### 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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[More Information Needed]
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| 102 |
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| 103 |
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## Evaluation
|
| 104 |
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| 105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 106 |
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| 107 |
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### 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 |
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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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| 115 |
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#### Factors
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| 118 |
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[More Information Needed]
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| 120 |
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| 121 |
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#### Metrics
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| 122 |
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| 123 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 124 |
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[More Information Needed]
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| 126 |
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| 127 |
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### Results
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| 128 |
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[More Information Needed]
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| 130 |
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| 131 |
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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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| 139 |
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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 -->
|
| 144 |
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| 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 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
|
| 148 |
-
- **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]
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| 151 |
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- **Carbon Emitted:** [More Information Needed]
|
| 152 |
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| 153 |
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## Technical Specifications [optional]
|
| 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
|
| 160 |
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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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[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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[More Information Needed]
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| 170 |
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|
| 171 |
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## Citation [optional]
|
| 172 |
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|
| 173 |
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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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| 174 |
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| 175 |
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**BibTeX:**
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| 176 |
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[More Information Needed]
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| 179 |
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**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 |
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## Glossary [optional]
|
| 184 |
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| 185 |
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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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| 186 |
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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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[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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[More Information Needed]
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| 196 |
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| 197 |
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## Model Card Contact
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| 198 |
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| 199 |
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[More Information Needed]
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| 200 |
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### Framework versions
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- PEFT 0.8.2
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aliceinwonderland-llama3/checkpoint-13-loss-0_98/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": "models\\Meta-Llama-3-8b",
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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": 64,
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"lora_dropout": 0.05,
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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": 32,
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"rank_pattern": {},
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"target_modules": [
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"q_proj",
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"v_proj"
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"task_type": "CAUSAL_LM",
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aliceinwonderland-llama3/checkpoint-13-loss-0_98/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb176e0bbe60607d99ff9fd4795a52ceb55a6f0024bebd0f5852a24acc5e7121
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size 54572362
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aliceinwonderland-llama3/checkpoint-13-loss-0_98/training_log.json
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"projections": "q, v",
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"loss": 0.9825,
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"grad_norm": 2.2934579849243164,
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"learning_rate": 1.2e-07,
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"epoch": 0.1326530612244898,
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"current_steps": 12,
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"current_steps_adjusted": 12,
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"epoch_adjusted": 0.1326530612244898
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aliceinwonderland-llama3/checkpoint-392-loss-0_86/README.md
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---
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library_name: peft
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base_model: models\Meta-Llama-3-8b
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---
|
| 5 |
-
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| 6 |
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# Model Card for Model ID
|
| 7 |
-
|
| 8 |
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<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
-
|
| 10 |
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| 11 |
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|
| 12 |
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## Model Details
|
| 13 |
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| 14 |
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### Model Description
|
| 15 |
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| 16 |
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<!-- Provide a longer summary of what this model is. -->
|
| 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]
|
| 21 |
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- **Funded by [optional]:** [More Information Needed]
|
| 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 |
-
- **License:** [More Information Needed]
|
| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
-
|
| 28 |
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### Model Sources [optional]
|
| 29 |
-
|
| 30 |
-
<!-- Provide the basic links for the model. -->
|
| 31 |
-
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| 32 |
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- **Repository:** [More Information Needed]
|
| 33 |
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- **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 |
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### Direct Use
|
| 41 |
-
|
| 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 |
-
|
| 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 |
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### 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 |
-
|
| 56 |
-
[More Information Needed]
|
| 57 |
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|
| 58 |
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## 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
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| 77 |
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|
| 78 |
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### Training Data
|
| 79 |
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|
| 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 |
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|
| 82 |
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[More Information Needed]
|
| 83 |
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|
| 84 |
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### Training Procedure
|
| 85 |
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|
| 86 |
-
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
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|
| 88 |
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#### Preprocessing [optional]
|
| 89 |
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|
| 90 |
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[More Information Needed]
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| 91 |
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| 92 |
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|
| 93 |
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#### 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 |
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|
| 97 |
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#### Speeds, Sizes, Times [optional]
|
| 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]
|
| 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 |
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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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| 115 |
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| 116 |
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#### Metrics
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### Results
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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 0.8.2
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aliceinwonderland-llama3/checkpoint-392-loss-0_86/adapter_config.json
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aliceinwonderland-llama3/training_graph.png
DELETED
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Binary file (90 kB)
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aliceinwonderland-llama3/training_log.json
DELETED
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@@ -1,19 +0,0 @@
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|
| 1 |
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| 2 |
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| 3 |
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aliceinwonderland-llama3/training_parameters.json
DELETED
|
@@ -1,37 +0,0 @@
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|
| 1 |
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|
| 2 |
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aliceinwonderland-llama3/training_prompt.json
DELETED
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@@ -1,3 +0,0 @@
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