---
library_name: transformers
tags: []
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
Finetuned model on ophtalmology dataset from https://www.kaggle.com/datasets/cheshrcat/ru-medical-texts-ophtalmology


## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** Anastasia Sidorova
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** Translation
- **Language(s) (NLP):** En-Ru
- **License:** Apache 2.0
- **Finetuned from model [optional]:** nllb-200-600-distilled 


## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
Could be used in medical domain


### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

## Training Details

### Training Data

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[More Information Needed]

### Training Procedure

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

#### Preprocessing [optional]

[More Information Needed]


#### Training Hyperparameters

<!-- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> -->
    per_device_train_batch_size=1,
    per_device_eval_batch_size=1,
    logging_steps=10000,
    evaluation_strategy="steps",
    num_train_epochs=6,
    learning_rate=2e-5,
    weight_decay=0.02,
    save_total_limit=1,
    predict_with_generate=True,
    report_to="none"

#### Speeds, Sizes, Times [optional]

<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->

[More Information Needed]

## Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

### Testing Data, Factors & Metrics

#### Testing Data

<!-- This should link to a Dataset Card if possible. -->
https://www.kaggle.com/datasets/cheshrcat/ru-medical-texts-ophtalmology


[More Information Needed]

#### Metrics

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

[More Information Needed]

### Results

sentence BLEU score 0.2-0.6 




## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
https://www.kaggle.com/datasets/cheshrcat/ru-medical-texts-ophtalmology

[More Information Needed]

## More Information [optional]

[More Information Needed]

## Model Card Authors [optional]

Anastasia Sidorova

## Model Card Contact

[More Information Needed]