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xlm-roberta-base-finetuned-TQuad

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End of training

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  1. README.md +6 -8
  2. model.safetensors +1 -1
  3. runs/Jan26_15-20-03_7f2a8ceac737/events.out.tfevents.1706282405.7f2a8ceac737.7765.0 +2 -2
README.md CHANGED
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  model-index:
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  - name: xlm-roberta-base-finetuned-TQuad
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  results: []
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- language:
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- - tr
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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
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # xlm-roberta-base-finetuned-TQuad
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- This model is a fine-tuned version of [IProject-10/xlm-roberta-base-finetuned-squad2](https://huggingface.co/IProject-10/xlm-roberta-base-finetuned-squad2) on https://github.com/erdometo/turkish-nlp-qa-dataset-SQUAD2Reformat dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3801
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 3.5132 | 1.0 | 520 | 2.7170 |
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- | 2.5572 | 2.0 | 1040 | 2.4501 |
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- | 2.2364 | 3.0 | 1560 | 2.3801 |
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
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- - Tokenizers 0.15.1
 
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  model-index:
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  - name: xlm-roberta-base-finetuned-TQuad
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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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  # xlm-roberta-base-finetuned-TQuad
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+ This model is a fine-tuned version of [IProject-10/xlm-roberta-base-finetuned-squad2](https://huggingface.co/IProject-10/xlm-roberta-base-finetuned-squad2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2300
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.3241 | 1.0 | 520 | 1.2748 |
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+ | 0.9743 | 2.0 | 1040 | 1.2063 |
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+ | 0.7823 | 3.0 | 1560 | 1.2300 |
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  ### Framework versions
 
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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