End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-multilingual-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- precision
+model-index:
+- name: multilingual_model_v02
+  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_model_v02
+
+This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3359
+- Accuracy: 0.8707
+- F1 Score: 0.7728
+- Recall: 0.8527
+- Precision: 0.7066
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Recall | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:|:---------:|
+| No log        | 1.0   | 219  | 0.3391          | 0.8707   | 0.7728   | 0.8527 | 0.7066    |
+| No log        | 2.0   | 438  | 0.3377          | 0.8707   | 0.7728   | 0.8527 | 0.7066    |
+| 0.3688        | 3.0   | 657  | 0.3359          | 0.8707   | 0.7728   | 0.8527 | 0.7066    |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1