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olonok
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olonok_qa_model

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Transformers
PyTorch
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distilbert
Generated from Trainer
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End of training

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  1. README.md +7 -6
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7187
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 250 | 2.6880 |
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- | 2.9351 | 2.0 | 500 | 1.8509 |
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- | 2.9351 | 3.0 | 750 | 1.7187 |
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  ### Framework versions
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- - Transformers 4.29.2
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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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: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8131
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 250 | 2.4438 |
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+ | 2.7937 | 2.0 | 500 | 1.8824 |
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+ | 2.7937 | 3.0 | 750 | 1.8131 |
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  ### Framework versions
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+ - Transformers 4.34.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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