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bert-base-multilingual-cased-finetuned-ner-geocorpus

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  1. README.md +14 -9
  2. model.safetensors +1 -1
  3. runs/Oct06_03-56-26_8f9bf96c42b2/events.out.tfevents.1728187687.8f9bf96c42b2.34.1 +3 -0
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/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: 0.1125
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- - Precision: 0.7996
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- - Recall: 0.8245
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- - F1: 0.8119
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- - Accuracy: 0.9703
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  ## Model description
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@@ -55,10 +55,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 276 | 0.1793 | 0.7449 | 0.6490 | 0.6937 | 0.9555 |
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- | 0.2484 | 2.0 | 552 | 0.1125 | 0.7996 | 0.8245 | 0.8119 | 0.9703 |
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- | 0.2484 | 3.0 | 828 | 0.1183 | 0.8176 | 0.8193 | 0.8185 | 0.9715 |
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- | 0.0747 | 4.0 | 1104 | 0.1232 | 0.8039 | 0.9024 | 0.8503 | 0.9726 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/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: 0.1098
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+ - Precision: 0.8046
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+ - Recall: 0.8681
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+ - F1: 0.8352
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+ - Accuracy: 0.9718
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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 | 1.0 | 276 | 0.1803 | 0.7390 | 0.6469 | 0.6899 | 0.9556 |
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+ | 0.2476 | 2.0 | 552 | 0.1196 | 0.8330 | 0.7767 | 0.8039 | 0.9699 |
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+ | 0.2476 | 3.0 | 828 | 0.1157 | 0.8719 | 0.7778 | 0.8222 | 0.9717 |
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+ | 0.0766 | 4.0 | 1104 | 0.1229 | 0.7866 | 0.8806 | 0.8310 | 0.9717 |
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+ | 0.0766 | 5.0 | 1380 | 0.1105 | 0.8567 | 0.8692 | 0.8629 | 0.9761 |
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+ | 0.0393 | 6.0 | 1656 | 0.1098 | 0.8046 | 0.8681 | 0.8352 | 0.9718 |
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+ | 0.0393 | 7.0 | 1932 | 0.1180 | 0.8663 | 0.8744 | 0.8703 | 0.9786 |
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+ | 0.0236 | 8.0 | 2208 | 0.1294 | 0.8293 | 0.8982 | 0.8624 | 0.9744 |
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+ | 0.0236 | 9.0 | 2484 | 0.1337 | 0.8864 | 0.8505 | 0.8680 | 0.9781 |
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  ### Framework versions
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runs/Oct06_03-56-26_8f9bf96c42b2/events.out.tfevents.1728187687.8f9bf96c42b2.34.1 ADDED
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