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Training in progress epoch 1
Browse files- README.md +8 -7
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [Rocketknight1/distilbert-base-uncased-finetuned-squad](https://huggingface.co/Rocketknight1/distilbert-base-uncased-finetuned-squad) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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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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| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 1.0687 | 0.6972 | 0.6540 | 0.8900 | 0.7617 | 0.6762 | 0 |
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### Framework versions
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This model is a fine-tuned version of [Rocketknight1/distilbert-base-uncased-finetuned-squad](https://huggingface.co/Rocketknight1/distilbert-base-uncased-finetuned-squad) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.7439
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- Train End Logits Accuracy: 0.7927
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- Train Start Logits Accuracy: 0.7423
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- Validation Loss: 0.9033
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- Validation End Logits Accuracy: 0.7560
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- Validation Start Logits Accuracy: 0.6784
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- Epoch: 1
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## Model description
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| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 1.0687 | 0.6972 | 0.6540 | 0.8900 | 0.7617 | 0.6762 | 0 |
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| 0.7439 | 0.7927 | 0.7423 | 0.9033 | 0.7560 | 0.6784 | 1 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 265583688
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version https://git-lfs.github.com/spec/v1
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oid sha256:1e80c6c30cb3a043276ea2aa9a4fdb03dce990b65cfa28b936d6321d011edbce
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size 265583688
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