Training in progress, epoch 9, checkpoint
Browse files- checkpoint-32391/README.md +202 -0
- checkpoint-32391/adapter_config.json +32 -0
- checkpoint-32391/adapter_model.safetensors +3 -0
- checkpoint-32391/optimizer.pt +3 -0
- checkpoint-32391/rng_state_0.pth +3 -0
- checkpoint-32391/rng_state_1.pth +3 -0
- checkpoint-32391/rng_state_2.pth +3 -0
- checkpoint-32391/rng_state_3.pth +3 -0
- checkpoint-32391/rng_state_4.pth +3 -0
- checkpoint-32391/rng_state_5.pth +3 -0
- checkpoint-32391/rng_state_6.pth +3 -0
- checkpoint-32391/rng_state_7.pth +3 -0
- checkpoint-32391/scheduler.pt +3 -0
- checkpoint-32391/trainer_state.json +833 -0
- checkpoint-32391/training_args.bin +3 -0
    	
        checkpoint-32391/README.md
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            ---
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            base_model: deepseek-ai/deepseek-coder-1.3b-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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            ## Model Details
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            ### Model Description
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            <!-- Provide a longer summary of what this model is. -->
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            - **Developed by:** [More Information Needed]
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            - **Funded by [optional]:** [More Information Needed]
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            - **Shared by [optional]:** [More Information Needed]
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            - **Model type:** [More Information Needed]
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            - **Language(s) (NLP):** [More Information Needed]
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            - **License:** [More Information Needed]
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            - **Finetuned from model [optional]:** [More Information Needed]
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            ### Model Sources [optional]
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            <!-- Provide the basic links for the model. -->
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            - **Repository:** [More Information Needed]
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            - **Paper [optional]:** [More Information Needed]
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            - **Demo [optional]:** [More Information Needed]
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            ## Uses
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            <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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            ### Direct Use
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            <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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            [More Information Needed]
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            ### Downstream Use [optional]
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            <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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            [More Information Needed]
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            ### Out-of-Scope Use
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            <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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            [More Information Needed]
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            ## Bias, Risks, and Limitations
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            <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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            [More Information Needed]
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            ### Recommendations
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            <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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            Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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            ## How to Get Started with the Model
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            Use the code below to get started with the model.
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            [More Information Needed]
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            ## Training Details
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            ### Training Data
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            <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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            [More Information Needed]
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            ### Training Procedure
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            <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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            #### Preprocessing [optional]
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            [More Information Needed]
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            #### Training Hyperparameters
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            - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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            #### Speeds, Sizes, Times [optional]
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            <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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            [More Information Needed]
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            ## Evaluation
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            <!-- This section describes the evaluation protocols and provides the results. -->
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            ### Testing Data, Factors & Metrics
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            #### Testing Data
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            <!-- This should link to a Dataset Card if possible. -->
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            [More Information Needed]
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            #### Factors
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            <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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            [More Information Needed]
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            #### Metrics
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            <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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            [More Information Needed]
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            ### Results
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            [More Information Needed]
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            #### Summary
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            ## Model Examination [optional]
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            <!-- Relevant interpretability work for the model goes here -->
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            [More Information Needed]
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            ## Environmental Impact
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            <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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            Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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            - **Hardware Type:** [More Information Needed]
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            - **Hours used:** [More Information Needed]
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            - **Cloud Provider:** [More Information Needed]
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            - **Compute Region:** [More Information Needed]
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            - **Carbon Emitted:** [More Information Needed]
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            ## Technical Specifications [optional]
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            ### Model Architecture and Objective
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            [More Information Needed]
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            ### Compute Infrastructure
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            [More Information Needed]
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            #### Hardware
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            [More Information Needed]
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            #### Software
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            [More Information Needed]
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            ## Citation [optional]
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            <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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            **BibTeX:**
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            [More Information Needed]
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            **APA:**
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            [More Information Needed]
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            ## Glossary [optional]
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            <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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            [More Information Needed]
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            ## More Information [optional]
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            [More Information Needed]
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            ## Model Card Authors [optional]
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            [More Information Needed]
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            ## Model Card Contact
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            [More Information Needed]
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            ### Framework versions
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            - PEFT 0.14.0
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        checkpoint-32391/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": "deepseek-ai/deepseek-coder-1.3b-base",
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              "bias": "none",
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              "eva_config": null,
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              "fan_in_fan_out": false,
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              "inference_mode": true,
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              "loftq_config": {},
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              "megatron_core": "megatron.core",
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              "peft_type": "LORA",
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              "r": 8,
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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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              ],
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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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    | @@ -0,0 +1,3 @@ | |
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