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update model card README.md

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  ---
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
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  model-index:
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  - name: BERTicSENTPOS4
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  results: []
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- license: apache-2.0
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- language:
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- - sr
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- 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
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  # BERTicSENTPOS4
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- This model is a fine-tuned version of [classla/bcms-bertic](https://huggingface.co/classla/bcms-bertic)
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- modified for text classification on the curated definitions from Serbian Wordent.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0444
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- - F1: 0.5263
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 53 | 0.0756 | 0.0 |
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- | No log | 2.0 | 106 | 0.0437 | 0.0 |
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- | No log | 3.0 | 159 | 0.0371 | 0.3750 |
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- | No log | 4.0 | 212 | 0.0369 | 0.3871 |
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- | No log | 5.0 | 265 | 0.0376 | 0.4848 |
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- | No log | 6.0 | 318 | 0.0424 | 0.5263 |
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- | No log | 7.0 | 371 | 0.0444 | 0.5263 |
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  ### Framework versions
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- - Transformers 4.30.2
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- - Pytorch 2.0.1
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- - Datasets 2.13.1
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- - Tokenizers 0.13.3
 
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  ---
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+ license: apache-2.0
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+ base_model: Tanor/BERTicSENTPOS4
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  model-index:
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  - name: BERTicSENTPOS4
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  results: []
 
 
 
 
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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
 
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  # BERTicSENTPOS4
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+ This model is a fine-tuned version of [Tanor/BERTicSENTPOS4](https://huggingface.co/Tanor/BERTicSENTPOS4) on the None dataset.
 
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0550
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+ - F1: 0.5143
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 0.98 | 47 | 0.0692 | 0.0 |
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+ | No log | 1.99 | 95 | 0.0492 | 0.0 |
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+ | No log | 2.99 | 143 | 0.0470 | 0.3158 |
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+ | No log | 4.0 | 191 | 0.0471 | 0.4815 |
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+ | No log | 4.98 | 238 | 0.0513 | 0.5172 |
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+ | No log | 5.99 | 286 | 0.0550 | 0.5143 |
 
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  ### Framework versions
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+ - Transformers 4.31.0
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+ - Pytorch 2.1.0.dev20230801
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+ - Datasets 2.14.2
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+ - Tokenizers 0.13.3