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bert-base-multilingual-uncased-finetuned-keyword

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Sep14_01-33-17_7dca77670f14/events.out.tfevents.1726277598.7dca77670f14.638.0 +2 -2
  4. runs/Sep14_01-33-17_7dca77670f14/events.out.tfevents.1726287095.7dca77670f14.638.1 +3 -0
README.md CHANGED
@@ -21,11 +21,11 @@ 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-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 6.3507
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- - Accuracy: 0.0617
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- - Precision: 0.0398
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- - Recall: 0.0617
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- - F1: 0.0393
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 269 | 6.7306 | 0.0024 | 0.0000 | 0.0024 | 0.0000 |
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- | 6.7277 | 2.0 | 538 | 6.5913 | 0.0090 | 0.0028 | 0.0090 | 0.0036 |
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- | 6.7277 | 3.0 | 807 | 6.4561 | 0.0276 | 0.0164 | 0.0276 | 0.0159 |
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- | 6.4145 | 4.0 | 1076 | 6.3776 | 0.0539 | 0.0374 | 0.0539 | 0.0360 |
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- | 6.4145 | 5.0 | 1345 | 6.3507 | 0.0617 | 0.0398 | 0.0617 | 0.0393 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.7290
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+ - Accuracy: 0.0036
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+ - Precision: 0.0015
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+ - Recall: 0.0036
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+ - F1: 0.0017
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 269 | 6.7517 | 0.0012 | 0.0000 | 0.0012 | 0.0000 |
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+ | 6.7625 | 2.0 | 538 | 6.7499 | 0.0012 | 0.0000 | 0.0012 | 0.0000 |
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+ | 6.7625 | 3.0 | 807 | 6.7366 | 0.0024 | 0.0003 | 0.0024 | 0.0005 |
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+ | 6.7465 | 4.0 | 1076 | 6.7290 | 0.0036 | 0.0015 | 0.0036 | 0.0017 |
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+ | 6.7465 | 5.0 | 1345 | 6.7276 | 0.0030 | 0.0015 | 0.0030 | 0.0013 |
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  ### Framework versions
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