Update README.md

README.md

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-license: apache-2.0
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: turkic-cyrillic-classifier
   results: []
-language:
-- ba
-- cv
-- sah
-- tt
-- ky
-- kk
-- tyv
-- krc
-- ru
-datasets:
-- tatiana-merz/cyrillic_turkic_langs
-pipeline_tag: text-classification
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+
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 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+This model card has been generated automatically according to the information the Trainer had access to. You
 
 # turkic-cyrillic-classifier
 
-This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an tatiana-merz/cyrillic_turkic_langs dataset.
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0139
 - Accuracy: 0.9971
-- F1: 0.9971
 
 ## Model description
 
-The model classifies text based on a provided Turkic language written in Cyrillic script.
+More information needed
 
 ## Intended uses & limitations
 
-
+More information needed
 
 ## Training and evaluation data
 
-[cyrillic_turkic_langs](https://huggingface.co/datasets/tatiana-merz/cyrillic_turkic_langs/)
+More information needed
 
 
 ## Training procedure
 
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 2
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.1087        | 1.0   | 1000 | 0.0206          | 0.9954   | 0.9954 |
-| 0.0111        | 2.0   | 2000 | 0.0139          | 0.9971   | 0.9971 |
-
-
-### Framework versions
-
 - Transformers 4.27.0
 - Pytorch 1.13.1+cu116
 - Datasets 2.10.1