End of training
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- model.safetensors +1 -1
README.md
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base_model: bert-base-multilingual-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-base-multilingual-cased-IDMGSP-danish
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results: []
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# bert-base-multilingual-cased-IDMGSP-danish
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on
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## Model description
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 10
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### Framework versions
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- Transformers 4.35.0
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base_model: bert-base-multilingual-cased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: bert-base-multilingual-cased-IDMGSP-danish
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results: []
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# bert-base-multilingual-cased-IDMGSP-danish
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9588
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- Accuracy: {'accuracy': 0.8393768817908103}
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- F1: {'f1': 0.8521508615495843}
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## Model description
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
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| 0.4777 | 1.0 | 480 | 0.3597 | {'accuracy': 0.8594056813719073} | {'f1': 0.8543926247288504} |
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| 0.3642 | 2.0 | 960 | 0.5526 | {'accuracy': 0.8147663306715539} | {'f1': 0.8337836250440502} |
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| 0.3087 | 3.0 | 1440 | 0.3296 | {'accuracy': 0.8677837413273989} | {'f1': 0.8711077080142932} |
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| 0.1919 | 4.0 | 1920 | 0.4540 | {'accuracy': 0.8287733996596414} | {'f1': 0.8453169347209082} |
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| 0.1592 | 5.0 | 2400 | 0.3791 | {'accuracy': 0.8701400706898809} | {'f1': 0.8696794534944824} |
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| 0.1324 | 6.0 | 2880 | 0.5328 | {'accuracy': 0.8294279355936641} | {'f1': 0.8443435670768128} |
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| 0.1271 | 7.0 | 3360 | 0.7168 | {'accuracy': 0.8440895405157743} | {'f1': 0.8535955746773203} |
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| 0.0227 | 8.0 | 3840 | 0.8978 | {'accuracy': 0.8253698128027229} | {'f1': 0.8424285376801323} |
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| 0.0019 | 9.0 | 4320 | 0.8289 | {'accuracy': 0.8507658070428067} | {'f1': 0.8595367175948743} |
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| 0.0046 | 10.0 | 4800 | 0.9588 | {'accuracy': 0.8393768817908103} | {'f1': 0.8521508615495843} |
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### Framework versions
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- Transformers 4.35.0
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model.safetensors
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