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Training in progress, epoch 1

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  1. README.md +14 -13
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  ---
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  library_name: transformers
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- base_model: FacebookAI/xlm-roberta-large-finetuned-conll03-german
 
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -18,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # ner_model
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- This model is a fine-tuned version of [FacebookAI/xlm-roberta-large-finetuned-conll03-german](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-german) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2261
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- - Precision: 0.1857
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- - Recall: 0.0872
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- - F1: 0.1187
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- - Accuracy: 0.9294
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 0 | 0 | 14.3585 | 0.0 | 0.0 | 0.0 | 0.0109 |
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- | No log | 1.0 | 5 | 0.5506 | 0.0 | 0.0 | 0.0 | 0.9201 |
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- | No log | 2.0 | 10 | 0.3615 | 0.0 | 0.0 | 0.0 | 0.9214 |
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- | No log | 3.0 | 15 | 0.2907 | 0.0286 | 0.0045 | 0.0077 | 0.9249 |
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- | No log | 4.0 | 20 | 0.2449 | 0.2164 | 0.0649 | 0.0998 | 0.9267 |
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- | No log | 5.0 | 25 | 0.2261 | 0.1857 | 0.0872 | 0.1187 | 0.9294 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ license: apache-2.0
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+ base_model: mschiesser/ner-bert-german
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # ner_model
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+ This model is a fine-tuned version of [mschiesser/ner-bert-german](https://huggingface.co/mschiesser/ner-bert-german) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3068
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+ - Precision: 0.1571
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+ - Recall: 0.0256
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+ - F1: 0.044
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+ - Accuracy: 0.9302
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 0 | 0 | 2.1684 | 0.0102 | 0.0140 | 0.0118 | 0.0235 |
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+ | No log | 1.0 | 5 | 0.4341 | 0.0 | 0.0 | 0.0 | 0.9205 |
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+ | No log | 2.0 | 10 | 0.3826 | 0.1061 | 0.0163 | 0.0282 | 0.9261 |
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+ | No log | 3.0 | 15 | 0.3359 | 0.1406 | 0.0209 | 0.0364 | 0.9294 |
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+ | No log | 4.0 | 20 | 0.3159 | 0.1618 | 0.0256 | 0.0442 | 0.9298 |
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+ | No log | 5.0 | 25 | 0.3068 | 0.1571 | 0.0256 | 0.044 | 0.9302 |
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  ### Framework versions
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