Training in progress, epoch 10, checkpoint
Browse files- checkpoint-155690/README.md +202 -0
- checkpoint-155690/adapter_config.json +32 -0
- checkpoint-155690/adapter_model.safetensors +3 -0
- checkpoint-155690/optimizer.pt +3 -0
- checkpoint-155690/rng_state_0.pth +3 -0
- checkpoint-155690/rng_state_1.pth +3 -0
- checkpoint-155690/rng_state_2.pth +3 -0
- checkpoint-155690/rng_state_3.pth +3 -0
- checkpoint-155690/scheduler.pt +3 -0
- checkpoint-155690/trainer_state.json +2602 -0
- checkpoint-155690/training_args.bin +3 -0
checkpoint-155690/README.md
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| 1 |
+
---
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base_model: deepseek-ai/deepseek-coder-6.7b-base
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library_name: peft
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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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| 9 |
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| 10 |
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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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| 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]
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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 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
+
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+
### Model Sources [optional]
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| 29 |
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| 30 |
+
<!-- Provide the basic links for the model. -->
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| 31 |
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| 32 |
+
- **Repository:** [More Information Needed]
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| 33 |
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- **Paper [optional]:** [More Information Needed]
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| 34 |
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- **Demo [optional]:** [More Information Needed]
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| 35 |
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| 36 |
+
## Uses
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| 37 |
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| 38 |
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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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| 39 |
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| 40 |
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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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| 43 |
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| 44 |
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[More Information Needed]
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| 45 |
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### Downstream Use [optional]
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| 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 -->
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| 50 |
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[More Information Needed]
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| 51 |
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### Out-of-Scope Use
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| 53 |
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| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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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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[More Information Needed]
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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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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.
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| 73 |
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[More Information Needed]
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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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<!-- 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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| 84 |
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### Training Procedure
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| 86 |
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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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| 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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| 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).
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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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| 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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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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| 194 |
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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 0.14.0
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checkpoint-155690/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": "deepseek-ai/deepseek-coder-6.7b-base",
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"bias": "none",
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| 6 |
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"eva_config": null,
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| 7 |
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"exclude_modules": null,
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| 8 |
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"fan_in_fan_out": false,
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| 9 |
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"inference_mode": true,
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| 10 |
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"init_lora_weights": true,
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| 11 |
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"layer_replication": null,
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| 12 |
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"layers_pattern": null,
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| 13 |
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"layers_to_transform": null,
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| 14 |
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"loftq_config": {},
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| 15 |
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"lora_alpha": 32,
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| 16 |
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"lora_bias": false,
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| 17 |
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"lora_dropout": 0.05,
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| 18 |
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"megatron_config": null,
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| 19 |
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"megatron_core": "megatron.core",
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| 20 |
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"modules_to_save": null,
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| 21 |
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"peft_type": "LORA",
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| 22 |
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"r": 8,
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| 23 |
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"rank_pattern": {},
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| 24 |
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"revision": null,
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| 25 |
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"target_modules": [
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| 26 |
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"q_proj",
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| 27 |
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"v_proj"
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| 28 |
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],
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| 29 |
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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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checkpoint-155690/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c2b5a25370df1b43025f85a58a1e5f715e4d02cfd4e3a01b1fc7e589b4638d5
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size 541459256
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checkpoint-155690/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:84589dc1292c0e11881a2269033485f517cba5bce843ee4f3f20bda65630b743
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size 33662074
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checkpoint-155690/rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:76e18e512d7a5d704d39e178a40f9b85f09fcfa67f1d9cfa05c53fbf4b8e8ac1
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size 15024
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checkpoint-155690/rng_state_1.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:d995002a850f98d47400437a2516e34642e091e10d91988633812dc9c7d4c86e
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size 15024
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checkpoint-155690/rng_state_2.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:752df0252e3bf51a1639ae129131bffae757c95d1f5785d21592d37b5da84f07
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size 15024
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checkpoint-155690/rng_state_3.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:6aadf7e0ec69a5874a9c641770e102dc2382eda7b04c5698969f5488963ef303
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size 15024
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checkpoint-155690/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1064
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checkpoint-155690/trainer_state.json
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