| | --- |
| | base_model: google/bert_uncased_L-4_H-512_A-8 |
| | datasets: |
| | - QuotaClimat/frugalaichallenge-text-train |
| | language: |
| | - en |
| | license: apache-2.0 |
| | model_name: frugal-ai-text-bert-small |
| | pipeline_tag: text-classification |
| | tags: |
| | - model_hub_mixin |
| | - pytorch_model_hub_mixin |
| | - climate |
| | --- |
| | |
| | # Model Card for Model ID |
| |
|
| | <!-- Provide a quick summary of what the model is/does. --> |
| |
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| | Classify text into 8 categories of climate misinformation. |
| |
|
| | ## 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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| | Fine trained BERT for classifying climate information as part of the Frugal AI Challenge, for submission to https://huggingface.co/frugal-ai-challenge and scoring on accuracy and efficiency. Trainied on only the non-evaluation 80% of the data, so it's (non-cheating) score will be lower. |
| |
|
| | - **Developed by:** Andre Bach |
| | - **Funded by [optional]:** N/A |
| | - **Shared by [optional]:** Andre Bach |
| | - **Model type:** Text classification |
| | - **Language(s) (NLP):** ['en'] |
| | - **License:** apache-2.0 |
| | - **Finetuned from model [optional]:** google/bert_uncased_L-4_H-512_A-8 |
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|
| | ### Model Sources [optional] |
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| | <!-- Provide the basic links for the model. --> |
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| | - **Repository:** frugal-ai-text-bert-small |
| | - **Paper [optional]:** [More Information Needed] |
| | - **Demo [optional]:** [More Information Needed] |
| |
|
| | ## 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. |
| |
|
| | [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 |
| |
|
| | <!-- 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:** {'max_dataset_size': 'full', 'bert_variety': 'google/bert_uncased_L-4_H-512_A-8', 'max_length': 256, 'num_epochs': 4, 'batch_size': 16} <!--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 |
| |
|
| | <!-- 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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| | {'train_loss': 0.2820948185979343, 'train_acc': 0.9261083743842364, 'test_loss': 1.0152617793578607, 'test_acc': 0.6554552912223134} |
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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] |
| | - **Hours used:** [More Information Needed] |
| | - **Cloud Provider:** [More Information Needed] |
| | - **Compute Region:** [More Information Needed] |
| | - **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] |