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  1. README.md +3 -8
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  ---
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- language:
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- - pt
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- - en
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- - es
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  license: mit
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- library_name: trl
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  tags:
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  - SFT
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  - Zeroshot
@@ -12,6 +8,7 @@ base_model: mistralai/Mistral-7B-Instruct-v0.2
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  model-index:
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  - name: Weni/model-card-test1
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  results: []
 
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  ---
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  # Weni/model-card-test1
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/zeroshot-3.2.0 with the SFT trainer. It is part of the Zeroshot project for [Weni](https://weni.ai/).
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  It achieves the following results on the evaluation set:
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- - Loss: 0
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  ## Intended uses & limitations
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  ### Training results
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- {'eval_loss': 1.8359004259109497, 'eval_runtime': 399.3154, 'eval_samples_per_second': 7.18, 'eval_steps_per_second': 1.796, 'epoch': 0.0}
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-
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  ### Framework versions
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  - git+https://github.com/huggingface/transformers@main
 
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  ---
 
 
 
 
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  license: mit
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+ library_name: "trl"
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  tags:
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  - SFT
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  - Zeroshot
 
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  model-index:
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  - name: Weni/model-card-test1
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  results: []
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+ language: ['pt', 'en', 'es']
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  ---
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  # Weni/model-card-test1
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2] on the dataset Weni/zeroshot-3.2.0 with the SFT trainer. It is part of the Zeroshot project for [Weni](https://weni.ai/).
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  It achieves the following results on the evaluation set:
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+ {'eval_loss': 1.8631538152694702, 'eval_runtime': 390.3421, 'eval_samples_per_second': 7.345, 'eval_steps_per_second': 1.837, 'epoch': 0.0}
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  ## Intended uses & limitations
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  ### Training results
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  ### Framework versions
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  - git+https://github.com/huggingface/transformers@main