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populism_classifier_095

Text Classification
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Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +12 -10
  2. model.safetensors +1 -1
  3. runs/Aug26_02-28-39_ebae452a3ad2/events.out.tfevents.1756175322.ebae452a3ad2.1874.0 +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 [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3743
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- - Accuracy: 0.9529
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- - 1-f1: 0.5895
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- - 1-recall: 0.7083
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- - 1-precision: 0.5048
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- - Balanced Acc: 0.8367
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  ## Model description
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@@ -55,10 +55,12 @@ 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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- | 0.3525 | 1.0 | 436 | 0.2795 | 0.9295 | 0.5131 | 0.7789 | 0.3826 | 0.8580 |
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- | 0.187 | 2.0 | 872 | 0.2408 | 0.9205 | 0.5022 | 0.8406 | 0.3581 | 0.8825 |
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- | 0.1542 | 3.0 | 1308 | 0.3985 | 0.9565 | 0.5861 | 0.6451 | 0.5369 | 0.8086 |
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- | 0.1457 | 4.0 | 1744 | 0.3743 | 0.9529 | 0.5895 | 0.7083 | 0.5048 | 0.8367 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5323
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+ - Accuracy: 0.9239
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+ - 1-f1: 0.3273
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+ - 1-recall: 0.3214
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+ - 1-precision: 0.3333
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+ - Balanced Acc: 0.6411
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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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+ | 0.7802 | 1.0 | 16 | 0.5957 | 0.9424 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.6316 | 2.0 | 32 | 0.5687 | 0.9424 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5278 | 3.0 | 48 | 0.5489 | 0.9424 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5157 | 4.0 | 64 | 0.5097 | 0.9403 | 0.0645 | 0.0357 | 0.3333 | 0.5157 |
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+ | 0.6505 | 5.0 | 80 | 0.5672 | 0.9403 | 0.2162 | 0.1429 | 0.4444 | 0.5660 |
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+ | 0.5312 | 6.0 | 96 | 0.5323 | 0.9239 | 0.3273 | 0.3214 | 0.3333 | 0.6411 |
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  ### Framework versions
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