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Uodate Readme

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  ---
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  library_name: transformers
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- tags: []
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Card for Model ID
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  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [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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  ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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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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- ## 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.
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- [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
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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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- [More Information Needed]
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  #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--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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  ## 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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- [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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- ### Results
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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]
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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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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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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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- **APA:**
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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 [optional]
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- ## Model Card Authors [optional]
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  ## Model Card Contact
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- [More Information Needed]
 
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  ---
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  library_name: transformers
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+ tags:
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+ - Uzbek,
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+ - NLP,
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+ - Tagger,
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+ - Semantic,
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+ - Morphologic
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+ license: apache-2.0
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+ language:
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+ - uz
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+ base_model:
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+ - elmurod1202/bertbek-news-big-cased
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+ pipeline_tag: token-classification
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  ---
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  # Model Card for Model ID
 
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  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+ - **Developed by:** Maksud Sharipov
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+ - **Model type:** Morphological and Semantic Tagger
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+ - **Language(s) (NLP):** Uzbek
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+ - **License:** Apache 2.0
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+ - **Finetuned from model :** BERTbek
 
 
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  ### Model Sources [optional]
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+ #
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Training Details
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+ global_step=195, training_loss=1.7335300543369392, metrics={'train_runtime': 45.8596, 'train_samples_per_second': 67.816, 'train_steps_per_second': 4.252, 'total_flos': 261367563697152.0, 'train_loss': 1.7335300543369392, 'epoch': 5.0}
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  ### Training Data
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+ Uzbek POS and Morph dataset manually created and annotated.
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  [More Information Needed]
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  ### Training Procedure
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+ Using Google Colab, with an 25GB L4 GPU
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  #### Training Hyperparameters
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+ do_train=True,
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+ do_eval=True,
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+ learning_rate=2e-5,
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+ per_device_train_batch_size=16,
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+ per_device_eval_batch_size=16,
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+ num_train_epochs=5,
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+ weight_decay=0.01
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  #### Speeds, Sizes, Times [optional]
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  ## Evaluation
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+ Coming up....
 
 
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+ - **Hardware Type:** Google Colab platfrom L4 type GPU
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+ - **Hours used:** 0.4
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+ - **Cloud Provider:** Google
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+ - **Compute Region:** Uzbekistan
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+ - **Carbon Emitted:** Not provided
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+ ## Model Card Authors
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Maksud Sharipov: maqsbek72@gmail.com
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+ Elmurod Kuriyozov: elmurod1202@gmail.com
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model Card Contact
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+ Maksud Sharipov: maqsbek72@gmail.com