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populism_classifier_348

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

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  1. README.md +13 -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: 0.4761
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- - Accuracy: 0.9646
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- - 1-f1: 0.4444
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- - 1-recall: 0.4138
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- - 1-precision: 0.48
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- - Balanced Acc: 0.6990
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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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- | 0.4417 | 1.0 | 27 | 0.3005 | 0.9670 | 0.5333 | 0.5517 | 0.5161 | 0.7667 |
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- | 0.3868 | 2.0 | 54 | 0.3218 | 0.9599 | 0.5143 | 0.6207 | 0.4390 | 0.7963 |
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- | 0.304 | 3.0 | 81 | 0.4761 | 0.9646 | 0.4444 | 0.4138 | 0.48 | 0.6990 |
 
 
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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: 0.6292
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+ - Accuracy: 0.9752
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+ - 1-f1: 0.5714
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+ - 1-recall: 0.4828
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+ - 1-precision: 0.7
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+ - Balanced Acc: 0.7377
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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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+ | 0.6498 | 1.0 | 53 | 0.2639 | 0.9741 | 0.5769 | 0.5172 | 0.6522 | 0.7537 |
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+ | 0.1127 | 2.0 | 106 | 0.1869 | 0.9422 | 0.5149 | 0.8966 | 0.3611 | 0.9202 |
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+ | 0.1483 | 3.0 | 159 | 0.4548 | 0.9717 | 0.5556 | 0.5172 | 0.6 | 0.7525 |
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+ | 0.0249 | 4.0 | 212 | 0.6187 | 0.9705 | 0.4681 | 0.3793 | 0.6111 | 0.6854 |
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+ | 0.0134 | 5.0 | 265 | 0.6292 | 0.9752 | 0.5714 | 0.4828 | 0.7 | 0.7377 |
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  ### Framework versions
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