Training in progress epoch 1
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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.
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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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| 0.4322 | 0.8625 | 0.8874 | 0.5311 | 0.8621 | 0.9008 | 0 |
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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: 0.2279
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- Train End Logits Accuracy: 0.9238
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- Train Start Logits Accuracy: 0.9391
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- Validation Loss: 0.5657
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- Validation End Logits Accuracy: 0.8402
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- Validation Start Logits Accuracy: 0.9046
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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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| 0.4322 | 0.8625 | 0.8874 | 0.5311 | 0.8621 | 0.9008 | 0 |
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| 0.2279 | 0.9238 | 0.9391 | 0.5657 | 0.8402 | 0.9046 | 1 |
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### Framework versions
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logs/train/events.out.tfevents.1692264786.28e0281bfbdf.222.4.v2
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logs/validation/events.out.tfevents.1692265993.28e0281bfbdf.222.5.v2
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tf_model.h5
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