End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: multilingual-toxic-comment-classifier
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# multilingual-toxic-comment-classifier
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0809
+- Subset Accuracy: 0.91
+- F1 Micro: 0.6923
+- Precision Micro: 0.8182
+- Recall Micro: 0.6
+- Optimal Threshold: 0.3700
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Subset Accuracy | F1 Micro | Precision Micro | Recall Micro | Optimal Threshold |
+|:-------------:|:-----:|:----:|:---------------:|:---------------:|:--------:|:---------------:|:------------:|:-----------------:|
+| 0.1653        | 1.0   | 100  | 0.1619          | 0.895           | 0.0      | 0.0             | 0.0          | 0.5               |
+| 0.15          | 2.0   | 200  | 0.1527          | 0.895           | 0.1633   | 1.0             | 0.0889       | 0.3               |
+| 0.0722        | 3.0   | 300  | 0.0809          | 0.91            | 0.6923   | 0.8182          | 0.6          | 0.3700            |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1