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End of training

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README.md CHANGED
@@ -14,8 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # SQuAD_qa_model_PT
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.5904
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  ## Model description
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@@ -40,17 +38,13 @@ The following hyperparameters were used during training:
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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: 5
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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 | 300 | 1.9562 |
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- | 2.6858 | 2.0 | 600 | 1.5548 |
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- | 2.6858 | 3.0 | 900 | 1.5344 |
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- | 1.2142 | 4.0 | 1200 | 1.5540 |
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- | 0.8335 | 5.0 | 1500 | 1.5904 |
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  ### Framework versions
 
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  # SQuAD_qa_model_PT
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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 | 300 | 2.7440 |
 
 
 
 
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  ### Framework versions
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