Update README.md

README.md

@@ -9,19 +9,19 @@ widget:
 - src: https://huggingface.co/dumperize/movie-picture-captioning/resolve/main/vertical_15x.jpeg
   example_title: Custom Image Sample 1
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-# Model Card for Model ID
+# Model Card for movie-picture-captioning
 This model generate a description for movie posters ... mm, in principle, for any photo.
 
-# Model Details
+# Model Details:
 
-## Model Description
+#### Model Description
 
 This is an encoder decoder model based on [VisionEncoderDecoderModel](https://huggingface.co/docs/transformers/model_doc/vision-encoder-decoder). 
 [Google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) was used as encoder, [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) as decoder. 
 
 We refined the model on the dataset with descriptions and movie posters by russian app Kinoposk. Now the model generates descriptions on the jargon of blockbusters =).
 
-## Model Sources
+#### Model Sources
 
 - **Repository:** [github.com/slivka83](https://github.com/slivka83/)
 - **Demo [optional]:** [@MPC_project_bot](https://t.me/MPC_project_bot)
@@ -59,131 +59,22 @@ print([pred.strip() for pred in preds])
 
 # Bias, Risks, and Limitations
 
-<!-- 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.
+Even if the training data used for this model could be characterized as fairly neutral, this model can have biased predictions. 
 
 # Training Details
 
-## Training Data
+#### Training Data
 
 We compiled a dataset from the open source of all Russian-language films for October 2022 - [kinopoisk](https://www.kinopoisk.ru/). Films with very short or very long descriptions were not included in the dataset, films with blank or very small images were excluded too.
 
-### Preprocessing
+#### Preprocessing
 
 The model was trained on 8 16 GB V100 for 90 hours. 
 
 # 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 Data 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]
-- **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]
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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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-<details>
-<summary> Click to expand </summary>
+This model achieved the following results: sacrebleu 6.84
 
-[More Information Needed]
+#### Metrics
 
-</details>
+We used [sacrebleu](https://huggingface.co/spaces/evaluate-metric/sacrebleu) metric.