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populism_classifier_396

Text Classification
Transformers
Safetensors
rembert
Generated from Trainer
Model card Files
xet
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1 Parent(s): 5a93c2a

End of training

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  1. README.md +6 -8
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6436
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  - Accuracy: 0.9355
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  - 1-f1: 0.0
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  - 1-recall: 0.0
@@ -44,7 +44,7 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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  - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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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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- | 0.8227 | 1.0 | 128 | 0.6272 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.5401 | 2.0 | 256 | 0.6177 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.579 | 3.0 | 384 | 0.6177 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.6928 | 4.0 | 512 | 0.6325 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.5708 | 5.0 | 640 | 0.6280 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.6424 | 6.0 | 768 | 0.6436 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6504
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  - Accuracy: 0.9355
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  - 1-f1: 0.0
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  - 1-recall: 0.0
 
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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  - train_batch_size: 16
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+ - eval_batch_size: 32
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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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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+ | 0.8299 | 1.0 | 128 | 0.6493 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5855 | 2.0 | 256 | 0.6481 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5929 | 3.0 | 384 | 0.6490 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.7253 | 4.0 | 512 | 0.6504 | 0.9355 | 0.0 | 0.0 | 0.0 | 0.5 |
 
 
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  ### Framework versions
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training_args.bin CHANGED
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