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populism_classifier_104

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 +11 -10
  2. model.safetensors +1 -1
  3. runs/Aug26_02-46-00_ebae452a3ad2/events.out.tfevents.1756176361.ebae452a3ad2.1874.9 +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: 0.3860
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- - Accuracy: 0.9580
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- - 1-f1: 0.6316
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- - 1-recall: 0.6857
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- - 1-precision: 0.5854
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- - Balanced Acc: 0.8294
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  ## Model description
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@@ -55,10 +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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- | 0.4091 | 1.0 | 21 | 0.2369 | 0.9310 | 0.5490 | 0.8 | 0.4179 | 0.8691 |
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- | 0.1867 | 2.0 | 42 | 0.2038 | 0.9025 | 0.5038 | 0.9429 | 0.3438 | 0.9216 |
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- | 0.1417 | 3.0 | 63 | 0.2389 | 0.9475 | 0.5977 | 0.7429 | 0.5 | 0.8509 |
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- | 0.1534 | 4.0 | 84 | 0.3860 | 0.9580 | 0.6316 | 0.6857 | 0.5854 | 0.8294 |
 
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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: 0.5721
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+ - Accuracy: 0.9229
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+ - 1-f1: 0.4571
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+ - 1-recall: 0.5161
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+ - 1-precision: 0.4103
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+ - Balanced Acc: 0.7332
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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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+ | 0.395 | 1.0 | 16 | 0.3727 | 0.8763 | 0.4299 | 0.7419 | 0.3026 | 0.8136 |
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+ | 0.3218 | 2.0 | 32 | 0.3474 | 0.8560 | 0.4409 | 0.9032 | 0.2917 | 0.8780 |
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+ | 0.2668 | 3.0 | 48 | 0.3228 | 0.8682 | 0.4538 | 0.8710 | 0.3068 | 0.8695 |
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+ | 0.2797 | 4.0 | 64 | 0.5257 | 0.9209 | 0.5063 | 0.6452 | 0.4167 | 0.7923 |
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+ | 0.1009 | 5.0 | 80 | 0.5721 | 0.9229 | 0.4571 | 0.5161 | 0.4103 | 0.7332 |
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  ### Framework versions
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