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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: Frozen11-8epoch-BERT-multilingual-finetuned-CEFR_ner-3000news |
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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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# Frozen11-8epoch-BERT-multilingual-finetuned-CEFR_ner-3000news |
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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: 0.6206 |
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- Accuracy: 0.3654 |
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- Precision: 0.5146 |
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- Recall: 0.5208 |
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- F1: 0.4022 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 8 |
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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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| No log | 1.0 | 132 | 0.6667 | 0.3546 | 0.5202 | 0.4775 | 0.3676 | |
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| No log | 2.0 | 264 | 0.6564 | 0.3574 | 0.5171 | 0.4956 | 0.3796 | |
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| No log | 3.0 | 396 | 0.6472 | 0.3599 | 0.5112 | 0.4998 | 0.3840 | |
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| 0.6062 | 4.0 | 528 | 0.6354 | 0.3622 | 0.5107 | 0.5109 | 0.3927 | |
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| 0.6062 | 5.0 | 660 | 0.6282 | 0.3641 | 0.5198 | 0.5115 | 0.3962 | |
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| 0.6062 | 6.0 | 792 | 0.6254 | 0.3647 | 0.5192 | 0.5176 | 0.3988 | |
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| 0.6062 | 7.0 | 924 | 0.6212 | 0.3653 | 0.5156 | 0.5224 | 0.4040 | |
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| 0.5499 | 8.0 | 1056 | 0.6206 | 0.3654 | 0.5146 | 0.5208 | 0.4022 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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