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populism_model336

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 +11 -11
  2. model.safetensors +1 -1
  3. runs/May15_20-40-18_6325f59d5b40/events.out.tfevents.1747341631.6325f59d5b40.713.6 +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 [AnonymousCS/populism_multilingual_bert_uncased](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4582
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- - Accuracy: 0.8036
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- - 1-f1: 0.8
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- - 1-recall: 0.7857
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- - 1-precision: 0.8148
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- - Balanced Acc: 0.8036
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  ## Model description
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@@ -55,11 +55,11 @@ 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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- | No log | 1.0 | 2 | 0.5416 | 0.7857 | 0.8065 | 0.8929 | 0.7353 | 0.7857 |
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- | No log | 2.0 | 4 | 0.5049 | 0.8214 | 0.8276 | 0.8571 | 0.8 | 0.8214 |
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- | No log | 3.0 | 6 | 0.4798 | 0.8214 | 0.8276 | 0.8571 | 0.8 | 0.8214 |
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- | No log | 4.0 | 8 | 0.4645 | 0.8393 | 0.8421 | 0.8571 | 0.8276 | 0.8393 |
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- | No log | 5.0 | 10 | 0.4582 | 0.8036 | 0.8 | 0.7857 | 0.8148 | 0.8036 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6274
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+ - Accuracy: 0.7679
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+ - 1-f1: 0.7937
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+ - 1-recall: 0.8929
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+ - 1-precision: 0.7143
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+ - Balanced Acc: 0.7679
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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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+ | No log | 1.0 | 2 | 0.6721 | 0.625 | 0.7273 | 1.0 | 0.5714 | 0.625 |
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+ | No log | 2.0 | 4 | 0.6545 | 0.6964 | 0.7606 | 0.9643 | 0.6279 | 0.6964 |
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+ | 0.6813 | 3.0 | 6 | 0.6408 | 0.7321 | 0.7826 | 0.9643 | 0.6585 | 0.7321 |
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+ | 0.6813 | 4.0 | 8 | 0.6315 | 0.7321 | 0.7692 | 0.8929 | 0.6757 | 0.7321 |
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+ | 0.6501 | 5.0 | 10 | 0.6274 | 0.7679 | 0.7937 | 0.8929 | 0.7143 | 0.7679 |
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  ### Framework versions
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