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End of training

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  1. README.md +24 -1
  2. model.safetensors +1 -1
README.md CHANGED
@@ -3,6 +3,9 @@ license: apache-2.0
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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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  model-index:
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  - name: bert-base-multilingual-cased-IDMGSP-danish
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  results: []
@@ -13,7 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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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 an unknown dataset.
 
 
 
 
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  ## Model description
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@@ -41,6 +48,22 @@ The following hyperparameters were used during training:
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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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+
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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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+
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+
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  ### Framework versions
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  - Transformers 4.35.0
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