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--- |
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license: apache-2.0 |
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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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- f1 |
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base_model: bert-base-multilingual-uncased |
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model-index: |
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- name: bert-base-multilingual-uncased-finetuned-masress |
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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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# bert-base-multilingual-uncased-finetuned-masress |
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This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0946 |
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- Accuracy: 0.5782 |
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- F1: 0.5769 |
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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: 64 |
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- eval_batch_size: 64 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 1.1646 | 1.0 | 151 | 1.0626 | 0.5588 | 0.5566 | |
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| 0.9281 | 2.0 | 302 | 0.9800 | 0.5869 | 0.5792 | |
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| 0.8269 | 3.0 | 453 | 1.0134 | 0.5911 | 0.5775 | |
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| 0.7335 | 4.0 | 604 | 1.0644 | 0.5861 | 0.5816 | |
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| 0.6786 | 5.0 | 755 | 1.0946 | 0.5782 | 0.5769 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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