Training in progress epoch 4
Browse files
README.md
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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.
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- Train End Logits Accuracy: 0.
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- Train Start Logits Accuracy: 0.
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- Validation Loss: 0.
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- Validation End Logits Accuracy: 0.
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- Validation Start Logits Accuracy: 0.
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- Epoch:
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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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### 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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logs/train/events.out.tfevents.1692771749.7d0470c98178.316.0.v2
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logs/validation/events.out.tfevents.1692772740.7d0470c98178.316.1.v2
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