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populism_classifier_364

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

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  1. README.md +12 -11
  2. model.safetensors +1 -1
  3. 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_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4031
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- - Accuracy: 0.8824
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- - 1-f1: 0.4630
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- - 1-recall: 0.8065
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- - 1-precision: 0.3247
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- - Balanced Acc: 0.8469
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  ## Model description
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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: 128
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- - eval_batch_size: 128
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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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- | 0.2148 | 1.0 | 16 | 0.3647 | 0.8783 | 0.4545 | 0.8065 | 0.3165 | 0.8448 |
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- | 0.2268 | 2.0 | 32 | 0.3952 | 0.8560 | 0.4228 | 0.8387 | 0.2826 | 0.8479 |
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- | 0.1779 | 3.0 | 48 | 0.4031 | 0.8824 | 0.4630 | 0.8065 | 0.3247 | 0.8469 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5950
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+ - Accuracy: 0.9229
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+ - 1-f1: 0.5366
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+ - 1-recall: 0.7097
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+ - 1-precision: 0.4314
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+ - Balanced Acc: 0.8235
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  ## Model description
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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: 64
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+ - eval_batch_size: 64
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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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+ | 0.2096 | 1.0 | 31 | 0.4210 | 0.9148 | 0.5 | 0.6774 | 0.3962 | 0.8041 |
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+ | 0.2905 | 2.0 | 62 | 0.4333 | 0.9108 | 0.4884 | 0.6774 | 0.3818 | 0.8019 |
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+ | 0.165 | 3.0 | 93 | 0.4811 | 0.8803 | 0.4486 | 0.7742 | 0.3158 | 0.8308 |
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+ | 0.031 | 4.0 | 124 | 0.5950 | 0.9229 | 0.5366 | 0.7097 | 0.4314 | 0.8235 |
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  ### Framework versions
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