Added adapter files
Browse files- checkpoint-100-py-sc2/README.md +204 -0
- checkpoint-100-py-sc2/adapter_config.json +34 -0
- checkpoint-100-py-sc2/adapter_model.safetensors +3 -0
- checkpoint-100-py-sc2/merges.txt +0 -0
- checkpoint-100-py-sc2/optimizer.pt +3 -0
- checkpoint-100-py-sc2/rng_state.pth +3 -0
- checkpoint-100-py-sc2/scheduler.pt +3 -0
- checkpoint-100-py-sc2/special_tokens_map.json +64 -0
- checkpoint-100-py-sc2/tokenizer.json +0 -0
- checkpoint-100-py-sc2/tokenizer_config.json +357 -0
- checkpoint-100-py-sc2/trainer_state.json +91 -0
- checkpoint-100-py-sc2/training_args.bin +3 -0
- checkpoint-100-py-sc2/vocab.json +0 -0
checkpoint-100-py-sc2/README.md
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---
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library_name: peft
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base_model: /app/snow.atg_arch_only.home/models/models--bigcode--starcoder2-7b/snapshots/fdb7db8a394942ed7879032fadad91ccb44fc74e/new_folder
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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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| 23 |
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- **Model type:** [More Information Needed]
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| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 25 |
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- **License:** [More Information Needed]
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| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
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| 28 |
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### Model Sources [optional]
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| 29 |
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| 30 |
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<!-- Provide the basic links for the model. -->
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| 31 |
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| 32 |
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- **Repository:** [More Information Needed]
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| 33 |
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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| 35 |
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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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| 41 |
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| 42 |
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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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| 47 |
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| 48 |
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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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| 49 |
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| 50 |
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[More Information Needed]
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| 51 |
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| 52 |
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### Out-of-Scope Use
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| 53 |
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| 54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 55 |
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| 56 |
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[More Information Needed]
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| 57 |
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| 58 |
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## Bias, Risks, and Limitations
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| 59 |
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| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 61 |
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| 62 |
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[More Information Needed]
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| 63 |
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| 64 |
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### Recommendations
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| 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. -->
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| 68 |
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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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| 70 |
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## How to Get Started with the Model
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| 71 |
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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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| 93 |
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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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| 123 |
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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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<!-- 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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| 146 |
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- **Hardware Type:** [More Information Needed]
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| 148 |
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- **Hours used:** [More Information Needed]
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| 149 |
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- **Cloud Provider:** [More Information Needed]
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| 150 |
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- **Compute Region:** [More Information Needed]
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| 151 |
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- **Carbon Emitted:** [More Information Needed]
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| 152 |
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## Technical Specifications [optional]
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### Model Architecture and Objective
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| 156 |
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[More Information Needed]
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### Compute Infrastructure
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| 160 |
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[More Information Needed]
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#### Hardware
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| 164 |
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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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| 176 |
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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 0.10.0
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checkpoint-100-py-sc2/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "/app/snow.atg_arch_only.home/models/models--bigcode--starcoder2-7b/snapshots/fdb7db8a394942ed7879032fadad91ccb44fc74e/new_folder",
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| 5 |
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"bias": "none",
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| 6 |
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"fan_in_fan_out": false,
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| 7 |
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"inference_mode": true,
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| 8 |
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"init_lora_weights": true,
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| 9 |
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"layer_replication": null,
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| 10 |
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"layers_pattern": null,
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| 11 |
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"layers_to_transform": null,
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| 12 |
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"loftq_config": {},
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| 13 |
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"lora_alpha": 8,
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| 14 |
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"lora_dropout": 0.0,
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| 15 |
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"megatron_config": null,
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| 16 |
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"megatron_core": "megatron.core",
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| 17 |
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"modules_to_save": null,
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| 18 |
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"peft_type": "LORA",
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| 19 |
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"r": 8,
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| 20 |
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"rank_pattern": {},
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| 21 |
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"revision": null,
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| 22 |
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"target_modules": [
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| 23 |
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"v_proj",
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| 24 |
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"gate_proj",
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| 25 |
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"k_proj",
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| 26 |
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"o_proj",
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| 27 |
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"q_proj",
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| 28 |
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"down_proj",
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| 29 |
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"up_proj"
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| 30 |
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],
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| 31 |
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"task_type": "CAUSAL_LM",
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| 32 |
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"use_dora": false,
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| 33 |
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"use_rslora": false
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| 34 |
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}
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checkpoint-100-py-sc2/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d374cc5facab64fc40f171e617eb3c394ae2678edc47c56eb86d8b43066b42b
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size 14714128
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checkpoint-100-py-sc2/merges.txt
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The diff for this file is too large to render.
See raw diff
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checkpoint-100-py-sc2/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3720c0e3d7b97bcf93df19f3657e08864a5e6dd71f096850d34d117a1c85a60
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size 15003924
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checkpoint-100-py-sc2/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:eae9b53d9fe317ade8fc780e5e2790f776c29c74d2b6386b633e6460c7dccb3f
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size 14180
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checkpoint-100-py-sc2/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:beccfaf9bab963f178f24d893fd68585ea073339edab1cdcc5698c989a1dd81e
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size 1064
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checkpoint-100-py-sc2/special_tokens_map.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|endoftext|>",
|
| 4 |
+
"<fim_prefix>",
|
| 5 |
+
"<fim_middle>",
|
| 6 |
+
"<fim_suffix>",
|
| 7 |
+
"<fim_pad>",
|
| 8 |
+
"<repo_name>",
|
| 9 |
+
"<file_sep>",
|
| 10 |
+
"<issue_start>",
|
| 11 |
+
"<issue_comment>",
|
| 12 |
+
"<issue_closed>",
|
| 13 |
+
"<jupyter_start>",
|
| 14 |
+
"<jupyter_text>",
|
| 15 |
+
"<jupyter_code>",
|
| 16 |
+
"<jupyter_output>",
|
| 17 |
+
"<jupyter_script>",
|
| 18 |
+
"<empty_output>",
|
| 19 |
+
"<code_to_intermediate>",
|
| 20 |
+
"<intermediate_to_code>",
|
| 21 |
+
"<pr>",
|
| 22 |
+
"<pr_status>",
|
| 23 |
+
"<pr_is_merged>",
|
| 24 |
+
"<pr_base>",
|
| 25 |
+
"<pr_file>",
|
| 26 |
+
"<pr_base_code>",
|
| 27 |
+
"<pr_diff>",
|
| 28 |
+
"<pr_diff_hunk>",
|
| 29 |
+
"<pr_comment>",
|
| 30 |
+
"<pr_event_id>",
|
| 31 |
+
"<pr_review>",
|
| 32 |
+
"<pr_review_state>",
|
| 33 |
+
"<pr_review_comment>",
|
| 34 |
+
"<pr_in_reply_to_review_id>",
|
| 35 |
+
"<pr_in_reply_to_comment_id>",
|
| 36 |
+
"<pr_diff_hunk_comment_line>",
|
| 37 |
+
"<NAME>",
|
| 38 |
+
"<EMAIL>",
|
| 39 |
+
"<KEY>",
|
| 40 |
+
"<PASSWORD>"
|
| 41 |
+
],
|
| 42 |
+
"bos_token": {
|
| 43 |
+
"content": "<|endoftext|>",
|
| 44 |
+
"lstrip": false,
|
| 45 |
+
"normalized": false,
|
| 46 |
+
"rstrip": false,
|
| 47 |
+
"single_word": false
|
| 48 |
+
},
|
| 49 |
+
"eos_token": {
|
| 50 |
+
"content": "<|endoftext|>",
|
| 51 |
+
"lstrip": false,
|
| 52 |
+
"normalized": false,
|
| 53 |
+
"rstrip": false,
|
| 54 |
+
"single_word": false
|
| 55 |
+
},
|
| 56 |
+
"pad_token": "<|endoftext|>",
|
| 57 |
+
"unk_token": {
|
| 58 |
+
"content": "<|endoftext|>",
|
| 59 |
+
"lstrip": false,
|
| 60 |
+
"normalized": false,
|
| 61 |
+
"rstrip": false,
|
| 62 |
+
"single_word": false
|
| 63 |
+
}
|
| 64 |
+
}
|
checkpoint-100-py-sc2/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-100-py-sc2/tokenizer_config.json
ADDED
|
@@ -0,0 +1,357 @@
|
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|
|
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|
|
|
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|
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|
|
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|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
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|
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|
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|
|
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|
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|
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|
|
|
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|
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|
|
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|
|
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|
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|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 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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"special": true
|
| 11 |
+
},
|
| 12 |
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"1": {
|
| 13 |
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"content": "<fim_prefix>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
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"normalized": false,
|
| 16 |
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"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "<fim_middle>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
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"normalized": false,
|
| 24 |
+
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|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<fim_suffix>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
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"normalized": false,
|
| 32 |
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"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"4": {
|
| 37 |
+
"content": "<fim_pad>",
|
| 38 |
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"lstrip": false,
|
| 39 |
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"normalized": false,
|
| 40 |
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"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
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"5": {
|
| 45 |
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"content": "<repo_name>",
|
| 46 |
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"lstrip": false,
|
| 47 |
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"normalized": false,
|
| 48 |
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"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
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"6": {
|
| 53 |
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"content": "<file_sep>",
|
| 54 |
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"lstrip": false,
|
| 55 |
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"normalized": false,
|
| 56 |
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"rstrip": false,
|
| 57 |
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"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
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"7": {
|
| 61 |
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"content": "<issue_start>",
|
| 62 |
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"lstrip": false,
|
| 63 |
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"normalized": false,
|
| 64 |
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"rstrip": false,
|
| 65 |
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"single_word": false,
|
| 66 |
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"special": true
|
| 67 |
+
},
|
| 68 |
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"8": {
|
| 69 |
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"content": "<issue_comment>",
|
| 70 |
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"lstrip": false,
|
| 71 |
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"normalized": false,
|
| 72 |
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"rstrip": false,
|
| 73 |
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"single_word": false,
|
| 74 |
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"special": true
|
| 75 |
+
},
|
| 76 |
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"9": {
|
| 77 |
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"content": "<issue_closed>",
|
| 78 |
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"lstrip": false,
|
| 79 |
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"normalized": false,
|
| 80 |
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"rstrip": false,
|
| 81 |
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"single_word": false,
|
| 82 |
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"special": true
|
| 83 |
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|
| 84 |
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"10": {
|
| 85 |
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"content": "<jupyter_start>",
|
| 86 |
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"lstrip": false,
|
| 87 |
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"normalized": false,
|
| 88 |
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"rstrip": false,
|
| 89 |
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"single_word": false,
|
| 90 |
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"special": true
|
| 91 |
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|
| 92 |
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"11": {
|
| 93 |
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"content": "<jupyter_text>",
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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"single_word": false,
|
| 98 |
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"special": true
|
| 99 |
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|
| 100 |
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"12": {
|
| 101 |
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"content": "<jupyter_code>",
|
| 102 |
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"lstrip": false,
|
| 103 |
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"normalized": false,
|
| 104 |
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|
| 105 |
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"single_word": false,
|
| 106 |
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"special": true
|
| 107 |
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|
| 108 |
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"13": {
|
| 109 |
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"content": "<jupyter_output>",
|
| 110 |
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"lstrip": false,
|
| 111 |
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"normalized": false,
|
| 112 |
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"rstrip": false,
|
| 113 |
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"single_word": false,
|
| 114 |
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"special": true
|
| 115 |
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|
| 116 |
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"14": {
|
| 117 |
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"content": "<jupyter_script>",
|
| 118 |
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"lstrip": false,
|
| 119 |
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"normalized": false,
|
| 120 |
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|
| 121 |
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|
| 122 |
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"special": true
|
| 123 |
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|
| 124 |
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"15": {
|
| 125 |
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"content": "<empty_output>",
|
| 126 |
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"lstrip": false,
|
| 127 |
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"normalized": false,
|
| 128 |
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|
| 129 |
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|
| 130 |
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"special": true
|
| 131 |
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|
| 132 |
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"16": {
|
| 133 |
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"content": "<code_to_intermediate>",
|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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"special": true
|
| 139 |
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|
| 140 |
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"17": {
|
| 141 |
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"content": "<intermediate_to_code>",
|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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"special": true
|
| 147 |
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|
| 148 |
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"18": {
|
| 149 |
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"content": "<pr>",
|
| 150 |
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"lstrip": false,
|
| 151 |
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|
| 152 |
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|
| 153 |
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"single_word": false,
|
| 154 |
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"special": true
|
| 155 |
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|
| 156 |
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"19": {
|
| 157 |
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"content": "<pr_status>",
|
| 158 |
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"lstrip": false,
|
| 159 |
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|
| 160 |
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|
| 161 |
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"single_word": false,
|
| 162 |
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"special": true
|
| 163 |
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|
| 164 |
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"20": {
|
| 165 |
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"content": "<pr_is_merged>",
|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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"special": true
|
| 171 |
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|
| 172 |
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"21": {
|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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"special": true
|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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| 192 |
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