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AnonymousCS
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populism_model016

Text Classification
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bert
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/May15_17-14-03_9e9582ef4516/events.out.tfevents.1747329244.9e9582ef4516.728.4 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ 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: 0.4963
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  - Accuracy: 0.9173
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- - 1-f1: 0.9173
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- - 1-recall: 0.9180
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- - 1-precision: 0.9167
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  - Balanced Acc: 0.9173
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  ## Model description
@@ -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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- | 0.347 | 1.0 | 684 | 0.2792 | 0.9093 | 0.9136 | 0.9605 | 0.8712 | 0.9093 |
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- | 0.301 | 2.0 | 1368 | 0.3525 | 0.9151 | 0.9181 | 0.9517 | 0.8868 | 0.9152 |
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- | 0.2129 | 3.0 | 2052 | 0.4128 | 0.9173 | 0.9176 | 0.9209 | 0.9142 | 0.9173 |
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- | 0.1128 | 4.0 | 2736 | 0.4510 | 0.9217 | 0.9218 | 0.9239 | 0.9198 | 0.9217 |
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- | 0.0478 | 5.0 | 3420 | 0.4963 | 0.9173 | 0.9173 | 0.9180 | 0.9167 | 0.9173 |
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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: 0.5091
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  - Accuracy: 0.9173
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+ - 1-f1: 0.9176
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+ - 1-recall: 0.9209
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+ - 1-precision: 0.9142
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  - Balanced Acc: 0.9173
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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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+ | 0.1544 | 1.0 | 684 | 0.2561 | 0.9056 | 0.9082 | 0.9341 | 0.8837 | 0.9057 |
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+ | 0.0954 | 2.0 | 1368 | 0.2810 | 0.9166 | 0.9197 | 0.9561 | 0.8860 | 0.9166 |
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+ | 0.0949 | 3.0 | 2052 | 0.3699 | 0.9195 | 0.9215 | 0.9458 | 0.8985 | 0.9196 |
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+ | 0.0966 | 4.0 | 2736 | 0.5756 | 0.9195 | 0.9185 | 0.9078 | 0.9295 | 0.9195 |
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+ | 0.0051 | 5.0 | 3420 | 0.5091 | 0.9173 | 0.9176 | 0.9209 | 0.9142 | 0.9173 |
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  ### Framework versions
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