Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: DSC_bert-base-multilingual-uncased_finetuned
+  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. -->
+
+# DSC_bert-base-multilingual-uncased_finetuned
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8441
+- Accuracy: 0.7336
+- F1 Macro: 0.7341
+
+## 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: 256
+- eval_batch_size: 256
+- 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: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| No log        | 1.0   | 22   | 0.9784          | 0.5386   | 0.4735   |
+| No log        | 2.0   | 44   | 0.8138          | 0.665    | 0.6554   |
+| 0.9159        | 3.0   | 66   | 0.7604          | 0.6886   | 0.6862   |
+| 0.9159        | 4.0   | 88   | 0.7336          | 0.7157   | 0.7141   |
+| 0.6825        | 5.0   | 110  | 0.7421          | 0.715    | 0.7102   |
+| 0.6825        | 6.0   | 132  | 0.7100          | 0.7386   | 0.7392   |
+| 0.5273        | 7.0   | 154  | 0.7326          | 0.7393   | 0.7385   |
+| 0.5273        | 8.0   | 176  | 0.7543          | 0.7329   | 0.7320   |
+| 0.5273        | 9.0   | 198  | 0.7807          | 0.7421   | 0.7417   |
+| 0.3938        | 10.0  | 220  | 0.8103          | 0.7279   | 0.7286   |
+| 0.3938        | 11.0  | 242  | 0.8120          | 0.7386   | 0.7386   |
+| 0.317         | 12.0  | 264  | 0.8424          | 0.7386   | 0.7378   |
+| 0.317         | 13.0  | 286  | 0.8441          | 0.7336   | 0.7341   |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.2

model.safetensors

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