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--- |
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license: apache-2.0 |
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base_model: google-bert/bert-base-multilingual-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: fine_tuned_bert |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# fine_tuned_bert |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1259 |
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- F1: 0.8182 |
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- F5: 0.8326 |
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- Precision: 0.7826 |
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- Recall: 0.8571 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | F5 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|:------:| |
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| No log | 1.0 | 65 | 0.2964 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 2.0 | 130 | 0.2682 | 0.4737 | 0.4081 | 0.8182 | 0.3333 | |
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| No log | 3.0 | 195 | 0.2208 | 0.65 | 0.7421 | 0.4906 | 0.9630 | |
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| No log | 4.0 | 260 | 0.1924 | 0.7273 | 0.7816 | 0.6154 | 0.8889 | |
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| No log | 5.0 | 325 | 0.1246 | 0.8727 | 0.8788 | 0.8571 | 0.8889 | |
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| No log | 6.0 | 390 | 0.1142 | 0.8519 | 0.8519 | 0.8519 | 0.8519 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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