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:
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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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| 1.5301 | 0.6185 | 0.6500 | 0.5636 | 0.8235 | 0.8763 | 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: 0.7440
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- Train End Logits Accuracy: 0.7848
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- Train Start Logits Accuracy: 0.8324
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- Validation Loss: 0.4708
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- Validation End Logits Accuracy: 0.8582
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- Validation Start Logits Accuracy: 0.9098
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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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| 1.5301 | 0.6185 | 0.6500 | 0.5636 | 0.8235 | 0.8763 | 0 |
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| 0.7440 | 0.7848 | 0.8324 | 0.4708 | 0.8582 | 0.9098 | 1 |
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### Framework versions
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tf_model.h5
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train/events.out.tfevents.1693376171.d48fcc31d2f5.18410.0.v2
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validation/events.out.tfevents.1693376791.d48fcc31d2f5.18410.1.v2
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size 1136
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