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README.md

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----
-license: mit
----
+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: sdg-bert-base-multilingual-cased-classification
+  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. -->
+
+# sdg-bert-base-multilingual-cased-classification
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7830
+- Accuracy: 0.7772
+
+## 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: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 1.2704        | 1.0   | 269  | 0.7318   | 0.9832          |
+| 0.8977        | 2.0   | 538  | 0.8561   | 0.7608          |
+| 0.7954        | 3.0   | 807  | 0.8104   | 0.7713          |
+| 0.7413        | 4.0   | 1076 | 0.7903   | 0.7770          |
+| 0.6915        | 5.0   | 1345 | 0.7830   | 0.7772          |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.1.2.post304
+- Datasets 3.2.0
+- Tokenizers 0.21.0