End of training

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
+- precision
+- recall
+- f1
+model-index:
+- name: bert-base-multilingual-uncased-finetuned-keyword
+  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-keyword
+
+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: 6.3507
+- Accuracy: 0.0617
+- Precision: 0.0398
+- Recall: 0.0617
+- F1: 0.0393
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 269  | 6.7306          | 0.0024   | 0.0000    | 0.0024 | 0.0000 |
+| 6.7277        | 2.0   | 538  | 6.5913          | 0.0090   | 0.0028    | 0.0090 | 0.0036 |
+| 6.7277        | 3.0   | 807  | 6.4561          | 0.0276   | 0.0164    | 0.0276 | 0.0159 |
+| 6.4145        | 4.0   | 1076 | 6.3776          | 0.0539   | 0.0374    | 0.0539 | 0.0360 |
+| 6.4145        | 5.0   | 1345 | 6.3507          | 0.0617   | 0.0398    | 0.0617 | 0.0393 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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