Training in progress epoch 2
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README.md
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) 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: 0.4786
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- Validation End Logits Accuracy: 0.8479
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- Validation Start Logits Accuracy: 0.9098
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- Epoch:
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## Model description
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 0.4434 | 0.8624 | 0.9020 | 0.4786 | 0.8479 | 0.9098 | 0 |
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| 0.4474 | 0.8623 | 0.8979 | 0.4786 | 0.8479 | 0.9098 | 1 |
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### Framework versions
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.4498
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- Train End Logits Accuracy: 0.8587
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- Train Start Logits Accuracy: 0.9015
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- Validation Loss: 0.4786
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- Validation End Logits Accuracy: 0.8479
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- Validation Start Logits Accuracy: 0.9098
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- Epoch: 2
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## Model description
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 0.4434 | 0.8624 | 0.9020 | 0.4786 | 0.8479 | 0.9098 | 0 |
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| 0.4474 | 0.8623 | 0.8979 | 0.4786 | 0.8479 | 0.9098 | 1 |
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| 0.4498 | 0.8587 | 0.9015 | 0.4786 | 0.8479 | 0.9098 | 2 |
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### Framework versions
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train/events.out.tfevents.1693286096.f64460db9a5c.440.2.v2
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validation/events.out.tfevents.1693286667.f64460db9a5c.440.3.v2
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