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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: distilbert/distilbert-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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model-index: |
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- name: distilbert-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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# distilbert-multilingual-sdg-classification |
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This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-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: 0.8076 |
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- F1: 0.7706 |
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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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| 2.1669 | 1.0 | 538 | 1.2066 | 0.6552 | |
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| 1.0784 | 2.0 | 1076 | 0.9131 | 0.7414 | |
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| 0.8756 | 3.0 | 1614 | 0.8408 | 0.7614 | |
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| 0.7817 | 4.0 | 2152 | 0.8136 | 0.7688 | |
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| 0.7337 | 5.0 | 2690 | 0.8076 | 0.7706 | |
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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 |
