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populism_classifier_bsample_157

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 +15 -12
  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_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0626
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- - Accuracy: 0.7113
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- - 1-f1: 0.2422
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- - 1-recall: 0.9669
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- - 1-precision: 0.1385
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- - Balanced Acc: 0.8327
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-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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- | 0.1959 | 1.0 | 333 | 0.8402 | 0.7191 | 0.2444 | 0.9519 | 0.1402 | 0.8297 |
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- | 0.0098 | 2.0 | 666 | 1.3385 | 0.6274 | 0.2025 | 0.9910 | 0.1127 | 0.8001 |
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- | 0.0389 | 3.0 | 999 | 1.0626 | 0.7113 | 0.2422 | 0.9669 | 0.1385 | 0.8327 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5646
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+ - Accuracy: 0.8478
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+ - 1-f1: 0.3659
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+ - 1-recall: 0.9203
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+ - 1-precision: 0.2284
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+ - Balanced Acc: 0.8822
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  ## Model description
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  ### Training hyperparameters
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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: 32
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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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+ | 0.1677 | 1.0 | 167 | 0.8171 | 0.6118 | 0.1954 | 0.9880 | 0.1085 | 0.7905 |
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+ | 0.0817 | 2.0 | 334 | 0.5852 | 0.7337 | 0.2574 | 0.9669 | 0.1485 | 0.8445 |
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+ | 0.1066 | 3.0 | 501 | 0.6588 | 0.7424 | 0.2656 | 0.9759 | 0.1537 | 0.8533 |
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+ | 0.104 | 4.0 | 668 | 0.5004 | 0.8377 | 0.3490 | 0.9113 | 0.2158 | 0.8727 |
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+ | 0.0466 | 5.0 | 835 | 0.5637 | 0.8305 | 0.3453 | 0.9368 | 0.2117 | 0.8810 |
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+ | 0.0349 | 6.0 | 1002 | 0.5646 | 0.8478 | 0.3659 | 0.9203 | 0.2284 | 0.8822 |
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  ### Framework versions
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