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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google-bert/bert-base-multilingual-uncased |
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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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model-index: |
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- name: bert-multilingual-sdg-classification |
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results: [] |
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datasets: |
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- albertmartinez/OSDG |
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pipeline_tag: text-classification |
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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-multilingual-sdg-classification |
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/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: 0.7207 |
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- F1: 0.7925 |
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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: 1e-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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 600 |
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- num_epochs: 5.0 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 2.1122 | 1.0 | 538 | 1.0625 | 0.6814 | |
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| 0.9564 | 2.0 | 1076 | 0.8073 | 0.7686 | |
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| 0.7652 | 3.0 | 1614 | 0.7433 | 0.7886 | |
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| 0.6619 | 4.0 | 2152 | 0.7261 | 0.7919 | |
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| 0.6038 | 5.0 | 2690 | 0.7207 | 0.7925 | |
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### Framework versions |
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- Transformers 4.49.0.dev0 |
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- Pytorch 2.1.2.post304 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
