vnktrmnb commited on
Commit
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Training in progress epoch 4

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README.md CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vnktrmnb/xlm-roberta-base-FT-TyDiQA_AUQC](https://huggingface.co/vnktrmnb/xlm-roberta-base-FT-TyDiQA_AUQC) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.3575
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- - Train End Logits Accuracy: 0.8913
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- - Train Start Logits Accuracy: 0.9164
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- - Validation Loss: 0.5528
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- - Validation End Logits Accuracy: 0.8615
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- - Validation Start Logits Accuracy: 0.8993
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- - Epoch: 3
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  ## Model description
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@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
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  | 0.6087 | 0.8296 | 0.8619 | 0.4771 | 0.8587 | 0.9063 | 1 |
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  | 0.4630 | 0.8631 | 0.8954 | 0.5086 | 0.8671 | 0.9119 | 2 |
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  | 0.3575 | 0.8913 | 0.9164 | 0.5528 | 0.8615 | 0.8993 | 3 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [vnktrmnb/xlm-roberta-base-FT-TyDiQA_AUQC](https://huggingface.co/vnktrmnb/xlm-roberta-base-FT-TyDiQA_AUQC) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.2690
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+ - Train End Logits Accuracy: 0.9131
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+ - Train Start Logits Accuracy: 0.9313
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+ - Validation Loss: 0.5861
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+ - Validation End Logits Accuracy: 0.8545
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+ - Validation Start Logits Accuracy: 0.9035
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+ - Epoch: 4
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  ## Model description
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  | 0.6087 | 0.8296 | 0.8619 | 0.4771 | 0.8587 | 0.9063 | 1 |
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  | 0.4630 | 0.8631 | 0.8954 | 0.5086 | 0.8671 | 0.9119 | 2 |
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  | 0.3575 | 0.8913 | 0.9164 | 0.5528 | 0.8615 | 0.8993 | 3 |
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+ | 0.2690 | 0.9131 | 0.9313 | 0.5861 | 0.8545 | 0.9035 | 4 |
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  ### Framework versions
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