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germanic_populist

Text Classification
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End of training

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  1. README.md +10 -8
  2. model.safetensors +1 -1
  3. runs/Nov26_02-11-17_6921bf48f74f/events.out.tfevents.1732587078.6921bf48f74f.11032.2 +2 -2
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2621
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- - Accuracy: 0.9397
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- - F1: 0.2353
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-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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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.0541 | 1.0 | 351 | 0.2621 | 0.9397 | 0.2353 |
 
 
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  ### Framework versions
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  - Transformers 4.46.2
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- - Pytorch 2.5.0+cu121
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  - Datasets 3.1.0
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  - Tokenizers 0.20.3
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2010
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+ - Accuracy: 0.9390
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+ - F1: 0.2332
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-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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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.205 | 1.0 | 701 | 0.1965 | 0.9390 | 0.0229 |
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+ | 0.1782 | 2.0 | 1402 | 0.2398 | 0.9390 | 0.0339 |
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+ | 0.122 | 3.0 | 2103 | 0.2010 | 0.9390 | 0.2332 |
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  ### Framework versions
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  - Transformers 4.46.2
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+ - Pytorch 2.5.1+cu121
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  - Datasets 3.1.0
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  - Tokenizers 0.20.3
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