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  1. README.md +11 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,12 +18,12 @@ 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-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2968
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- - F1 Macro: 1.0
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- - F1: 1.0
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- - F1 Neg: 1.0
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- - Acc: 1.0
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- - Prec: 1.0
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  - Recall: 1.0
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  - Mcc: 0.0
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:------:|:---:|:----:|:------:|:---:|
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- | No log | 1.0 | 1 | 0.2968 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 |
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- | No log | 2.0 | 2 | 0.2501 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 |
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- | No log | 3.0 | 3 | 0.2365 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7468
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+ - F1 Macro: 0.3333
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+ - F1: 0.6667
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+ - F1 Neg: 0.0
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+ - Acc: 0.5
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+ - Prec: 0.5
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  - Recall: 1.0
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  - Mcc: 0.0
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---:|:----:|:------:|:----:|
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+ | No log | 1.0 | 1 | 0.7356 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 |
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+ | No log | 2.0 | 2 | 0.7468 | 0.3333 | 0.6667 | 0.0 | 0.5 | 0.5 | 1.0 | 0.0 |
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+ | No log | 3.0 | 3 | 0.7527 | 0.3333 | 0.6667 | 0.0 | 0.5 | 0.5 | 1.0 | 0.0 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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