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End of training

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  1. README.md +8 -5
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
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 [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8848
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  ## Model description
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@@ -40,15 +40,18 @@ 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: 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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- | 1.1199 | 1.0 | 72 | 1.1303 |
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- | 0.6057 | 2.0 | 144 | 0.9352 |
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- | 0.709 | 3.0 | 216 | 0.8848 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6992
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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: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.6467 | 1.0 | 72 | 1.2359 |
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+ | 1.1173 | 2.0 | 144 | 0.9495 |
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+ | 1.0739 | 3.0 | 216 | 0.8453 |
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+ | 1.1401 | 4.0 | 288 | 0.7375 |
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+ | 0.7642 | 5.0 | 360 | 0.7090 |
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+ | 0.1559 | 6.0 | 432 | 0.6992 |
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  ### Framework versions
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