update card

README.md

@@ -4,193 +4,4 @@ license: apache-2.0
 
 
 # Model Card for UMUTeam/bert-base-emotion-analysis
-Este es un modelo de BETO (BERT) con fine-tuning con optimización de hiper-parámetros para la clasificación de emociones usando el modelo de Eckman.
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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:** {{ developers | default("[More Information Needed]", true)}}
-- **Funded by [optional]:** {{ funded_by | default("[More Information Needed]", true)}}
-- **Shared by [optional]:** {{ shared_by | default("[More Information Needed]", true)}}
-- **Model type:** {{ model_type | default("[More Information Needed]", true)}}
-- **Language(s) (NLP):** {{ language | default("[More Information Needed]", true)}}
-- **License:** {{ license | default("[More Information Needed]", true)}}
-- **Finetuned from model [optional]:** {{ base_model | default("[More Information Needed]", true)}}
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-### Model Sources [optional]
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-- **Repository:** {{ repo | default("[More Information Needed]", true)}}
-- **Paper [optional]:** {{ paper | default("[More Information Needed]", true)}}
-- **Demo [optional]:** {{ demo | default("[More Information Needed]", true)}}
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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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-{{ direct_use | default("[More Information Needed]", true)}}
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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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-{{ downstream_use | default("[More Information Needed]", true)}}
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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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-{{ out_of_scope_use | default("[More Information Needed]", true)}}
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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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-{{ bias_risks_limitations | default("[More Information Needed]", true)}}
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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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-{{ bias_recommendations | default("Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.", true)}}
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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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-{{ get_started_code | default("[More Information Needed]", true)}}
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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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-{{ training_data | default("[More Information Needed]", true)}}
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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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-{{ preprocessing | default("[More Information Needed]", true)}}
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-#### Training Hyperparameters
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-- **Training regime:** {{ training_regime | default("[More Information Needed]", true)}} <!--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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-{{ speeds_sizes_times | default("[More Information Needed]", true)}}
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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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-{{ testing_data | default("[More Information Needed]", true)}}
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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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-{{ testing_factors | default("[More Information Needed]", true)}}
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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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-{{ testing_metrics | default("[More Information Needed]", true)}}
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-### Results
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-{{ results | default("[More Information Needed]", true)}}
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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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-{{ model_examination | default("[More Information Needed]", true)}}
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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:** {{ hardware_type | default("[More Information Needed]", true)}}
-- **Hours used:** {{ hours_used | default("[More Information Needed]", true)}}
-- **Cloud Provider:** {{ cloud_provider | default("[More Information Needed]", true)}}
-- **Compute Region:** {{ cloud_region | default("[More Information Needed]", true)}}
-- **Carbon Emitted:** {{ co2_emitted | default("[More Information Needed]", true)}}
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-## Technical Specifications [optional]
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-### Model Architecture and Objective
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-{{ model_specs | default("[More Information Needed]", true)}}
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-### Compute Infrastructure
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-{{ compute_infrastructure | default("[More Information Needed]", true)}}
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-#### Hardware
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-{{ hardware_requirements | default("[More Information Needed]", true)}}
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-#### Software
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-{{ software | default("[More Information Needed]", true)}}
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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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-{{ citation_bibtex | default("[More Information Needed]", true)}}
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-**APA:**
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-{{ citation_apa | default("[More Information Needed]", true)}}
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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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-{{ glossary | default("[More Information Needed]", true)}}
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-## More Information [optional]
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-{{ more_information | default("[More Information Needed]", true)}}
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-## Model Card Authors [optional]
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-{{ model_card_authors | default("[More Information Needed]", true)}}
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-## Model Card Contact
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-{{ model_card_contact | default("[More Information Needed]", true)}}
+Este es un modelo de BETO (BERT) con fine-tuning con optimización de hiper-parámetros para la clasificación de emociones usando el modelo de Eckman y usando distintos datasets como el de EmoEvent (Spanish) o EmoEvalES.