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End of training

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README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: distilbert/distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,7 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # faq_model
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- This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 
 
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 250 | 3.1437 |
 
 
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  ### Framework versions
 
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  ---
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+ license: mit
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+ base_model: timpal0l/mdeberta-v3-base-squad2
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # faq_model
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+ This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5417
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 250 | 0.4898 |
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+ | 0.4145 | 2.0 | 500 | 0.5136 |
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+ | 0.4145 | 3.0 | 750 | 0.5417 |
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  ### Framework versions
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