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--- |
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license: apache-2.0 |
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base_model: 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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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: Full-5epoch-BERT-base-multilingual-finetuned-CEFR_ner-60000news |
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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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# Full-5epoch-BERT-base-multilingual-finetuned-CEFR_ner-60000news |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/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: 0.0796 |
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- Accuracy: 0.3049 |
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- Precision: 0.5205 |
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- Recall: 0.8398 |
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- F1: 0.5141 |
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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: 2e-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: 5 |
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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 | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.1525 | 1.0 | 1563 | 0.1193 | 0.3007 | 0.5007 | 0.8090 | 0.4870 | |
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| 0.1005 | 2.0 | 3126 | 0.0918 | 0.3034 | 0.5125 | 0.8276 | 0.5027 | |
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| 0.0794 | 3.0 | 4689 | 0.0838 | 0.3044 | 0.5160 | 0.8357 | 0.5092 | |
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| 0.0694 | 4.0 | 6252 | 0.0802 | 0.3047 | 0.5184 | 0.8395 | 0.5120 | |
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| 0.062 | 5.0 | 7815 | 0.0796 | 0.3049 | 0.5205 | 0.8398 | 0.5141 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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