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populism_classifier_001

Text Classification
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bert
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text-embeddings-inference
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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Aug25_18-56-35_2e8e96a3dcb3/events.out.tfevents.1756148196.2e8e96a3dcb3.2911.1 +3 -0
  4. training_args.bin +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-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: 0.6662
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- - Accuracy: 0.9542
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- - 1-f1: 0.4836
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- - 1-recall: 0.4539
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- - 1-precision: 0.5175
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- - Balanced Acc: 0.7164
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  ## Model description
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@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
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- | 0.4935 | 1.0 | 452 | 0.3051 | 0.9160 | 0.4494 | 0.7247 | 0.3257 | 0.8251 |
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- | 0.1477 | 2.0 | 904 | 0.3036 | 0.9067 | 0.4347 | 0.7584 | 0.3047 | 0.8363 |
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- | 0.1119 | 3.0 | 1356 | 0.4351 | 0.9499 | 0.4799 | 0.4890 | 0.4711 | 0.7309 |
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- | 0.2979 | 4.0 | 1808 | 0.6662 | 0.9542 | 0.4836 | 0.4539 | 0.5175 | 0.7164 |
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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: 0.4012
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+ - Accuracy: 0.9320
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+ - 1-f1: 0.4981
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+ - 1-recall: 0.7068
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+ - 1-precision: 0.3846
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+ - Balanced Acc: 0.8250
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
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+ | 0.3001 | 1.0 | 436 | 0.3010 | 0.9048 | 0.4331 | 0.7624 | 0.3025 | 0.8372 |
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+ | 0.2093 | 2.0 | 872 | 0.2855 | 0.8979 | 0.4278 | 0.8 | 0.2920 | 0.8514 |
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+ | 0.0919 | 3.0 | 1308 | 0.3977 | 0.9390 | 0.4988 | 0.6361 | 0.4103 | 0.7951 |
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+ | 0.0759 | 4.0 | 1744 | 0.4012 | 0.9320 | 0.4981 | 0.7068 | 0.3846 | 0.8250 |
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  ### Framework versions
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