End of training

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-base-multilingual-uncased-finetuned-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. -->
+
+# bert-base-multilingual-uncased-finetuned-classification
+
+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: 0.1394
+- Accuracy: 0.9524
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 20   | 0.1029          | 0.9810   |
+| No log        | 2.0   | 40   | 0.1137          | 0.9524   |
+| No log        | 3.0   | 60   | 0.1153          | 0.9524   |
+| No log        | 4.0   | 80   | 0.1170          | 0.9524   |
+| No log        | 5.0   | 100  | 0.1208          | 0.9524   |
+| No log        | 6.0   | 120  | 0.1064          | 0.9810   |
+| No log        | 7.0   | 140  | 0.1344          | 0.9524   |
+| No log        | 8.0   | 160  | 0.1237          | 0.9524   |
+| No log        | 9.0   | 180  | 0.1146          | 0.9524   |
+| No log        | 10.0  | 200  | 0.1330          | 0.9524   |
+| No log        | 11.0  | 220  | 0.1285          | 0.9524   |
+| No log        | 12.0  | 240  | 0.1291          | 0.9524   |
+| No log        | 13.0  | 260  | 0.1335          | 0.9524   |
+| No log        | 14.0  | 280  | 0.1380          | 0.9524   |
+| No log        | 15.0  | 300  | 0.1394          | 0.9524   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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