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End of training

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README.md CHANGED
@@ -7,17 +7,6 @@ tags:
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  model-index:
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  - name: multi-wiki-qa-gn-bert-tiny-cased
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  results: []
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- datasets:
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- - alexandrainst/multi-wiki-qa
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- language:
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- - es
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- - gn
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- - grn
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- - gug
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- metrics:
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- - squad
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- - f1
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- - exact_match
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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
@@ -25,11 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # multi-wiki-qa-gn-bert-tiny-cased
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- This model is a fine-tuned version of [mmaguero/gn-bert-tiny-cased](https://huggingface.co/mmaguero/gn-bert-tiny-cased) on [alexandrainst/multi-wiki-qa](https://huggingface.co/datasets/alexandrainst/multi-wiki-qa) dataset.
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-
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- Test set (20%):
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- - exact_match: 0.8991008991008991
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- - f1: 4.36985766925367
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  ## Model description
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  ## Intended uses & limitations
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- Question Answering in Guarani.
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  ## Training and evaluation data
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  ### Training results
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- Validation set (10%):
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- - exact_match: 0.7984031936127745
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- - f1: 4.725752054633907
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  ### Framework versions
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  - Transformers 4.57.1
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  - Pytorch 2.8.0+cu126
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  - Datasets 4.0.0
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- - Tokenizers 0.22.1
 
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  model-index:
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  - name: multi-wiki-qa-gn-bert-tiny-cased
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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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  # multi-wiki-qa-gn-bert-tiny-cased
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+ This model is a fine-tuned version of [mmaguero/gn-bert-tiny-cased](https://huggingface.co/mmaguero/gn-bert-tiny-cased) on an unknown dataset.
 
 
 
 
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  ## Model description
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  ## Intended uses & limitations
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+ More information needed
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  ## Training and evaluation data
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  ### Training results
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+
 
 
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  ### Framework versions
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  - Transformers 4.57.1
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  - Pytorch 2.8.0+cu126
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  - Datasets 4.0.0
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+ - Tokenizers 0.22.1
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