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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.4656
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  ## Model description
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@@ -35,19 +35,27 @@ More information needed
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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: 12
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  - eval_batch_size: 8
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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: 2
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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 | 313 | 0.4380 |
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- | 0.4644 | 2.0 | 626 | 0.4656 |
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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: 1.1331
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  ## Model description
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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: 8
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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: 10
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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 | 0.4844 |
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+ | 0.4439 | 2.0 | 500 | 0.5077 |
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+ | 0.4439 | 3.0 | 750 | 0.6605 |
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+ | 0.1985 | 4.0 | 1000 | 0.8166 |
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+ | 0.1985 | 5.0 | 1250 | 0.7628 |
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+ | 0.1114 | 6.0 | 1500 | 0.9060 |
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+ | 0.1114 | 7.0 | 1750 | 0.9887 |
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+ | 0.0556 | 8.0 | 2000 | 1.0709 |
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+ | 0.0556 | 9.0 | 2250 | 1.1016 |
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+ | 0.0288 | 10.0 | 2500 | 1.1331 |
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  ### Framework versions
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