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  license: mit
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  license: mit
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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+
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+ # Model Details
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+
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+ ## Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [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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+
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+ ## Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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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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+
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+ # Uses
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+
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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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+
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+ ## Direct Use
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+
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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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+
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+ [More Information Needed]
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+
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+ ## Downstream Use [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ## Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ # Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ## Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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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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+
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+ ## How to Get Started with the Model
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+
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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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+
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+ # Training Details
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+
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+ ## Training Data
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+
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+ <!-- This should link to a Data 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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+
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+
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+ ### Training Hyperparameters
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+
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+ ```
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+ defaults:
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+ learning_rate: 1e-5
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+ gradient_checkpointing: false
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+ gradient_accumulation_steps: 32
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+ per_device_train_batch_size: 2
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+ per_device_eval_batch_size: 2
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+ weight_decay: 0.00
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+ warmup_steps: 600
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+ eval_steps: 250
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+ save_steps: 250
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+ max_length: 512
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+ num_train_epochs: 2
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+ logging_steps: 10
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+ max_grad_norm: 2.0
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+ save_total_limit: 4
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+ fp16: true
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+ eval_accumulation_steps:
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+ freeze_layer:
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+ datasets:
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+ - gsm8k_hard
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+ - webgpt
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+ - squad_v2
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+ - adversarial_qa
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+ - private_tuning
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+ - oa_translated
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+ - prosocial_dialogue
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+ - math_qa
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+ - wikihow
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+ - joke
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+ - gsm8k
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+ - ted_trans_en-hi
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+ - ted_trans_de-ja
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+ - ted_trans_nl-en
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+ - ted_trans_en-ja
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+ - ted_trans_en-es
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+ - ted_trans_en-ms
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+ - xsum:
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+ fraction: 0.5
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+ - cnn_dailymail:
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+ fraction: 0.5
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+ - multi_news:
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+ fraction: 0.5
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+ - tldr_news:
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+ fraction: 0.5
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+ - scitldr:
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+ fraction: 0.5
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+ - samsum:
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+ fraction: 0.5
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+ - debate_sum:
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+ fraction: 0.5
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+ - billsum:
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+ fraction: 0.5
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+ - wmt2019_zh-en:
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+ fraction: 0.9
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+ - wmt2019_ru-en:
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+ fraction: 0.9
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+ - wmt2019_de-en:
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+ fraction: 0.9
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+ - wmt2019_fr-de:
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+ fraction: 0.9
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+ - essay_instruction
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+ - reddit_eli5
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+ - reddit_askh
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+ - reddit_asks
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+ cache_dir: /fsx/home-theblackcat02/.cache
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+ loss_fn: CrossEntropyLoss
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+ eval_size:
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+ log_dir: "base"
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+ quantization: false
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+ seq2seqmodel: false
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+ poly_eps: 1.0
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+ fuse_gelu: true
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+ log_wandb: true
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+ samples_mixing: true # uses collator that mixes samples in the batch to create a single sample with possible multiple tasks within
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+ verbose: false
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+
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+ pythia-1b:
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+ learning_rate: 5e-6
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+ model_name: EleutherAI/pythia-1b-deduped
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+ weight_decay: 0.01
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+ max_length: 540
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+ fp16: true
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+ warmup_steps: 1000
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+ gradient_accumulation_steps: 20
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+ per_device_train_batch_size: 20
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+ per_device_eval_batch_size: 2
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+ eval_steps: 500
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+ save_steps: 500
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+ ```
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+
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+
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+ # Evaluation
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ## Testing Data, Factors & Metrics
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+
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+ ### Testing Data
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+
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+ <!-- This should link to a Data Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ ### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ ### Metrics
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+
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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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+
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+
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+ # Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+ [More Information Needed]
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+
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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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+
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+ # Technical Specifications [optional]
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+ ## Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ## Compute Infrastructure
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+
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+ [More Information Needed]
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+
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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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+
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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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+