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--- |
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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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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: distilbert-lang-detect |
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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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# distilbert-lang-detect |
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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: 0.1215 |
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- Accuracy: 0.9720 |
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- F1: 0.9720 |
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- Precision: 0.9720 |
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- Recall: 0.9720 |
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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: 5e-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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- distributed_type: multi-GPU |
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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 | Precision | Recall | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.1022 | 1.0 | 14547 | 0.0924 | 0.9703 | 0.9703 | 0.9703 | 0.9703 | |
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| 0.0783 | 2.0 | 29094 | 0.0924 | 0.9704 | 0.9704 | 0.9705 | 0.9704 | |
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| 0.0646 | 3.0 | 43641 | 0.1096 | 0.9724 | 0.9724 | 0.9725 | 0.9724 | |
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| 0.053 | 4.0 | 58188 | 0.1188 | 0.9722 | 0.9722 | 0.9722 | 0.9722 | |
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| 0.0364 | 5.0 | 72735 | 0.1215 | 0.9720 | 0.9720 | 0.9720 | 0.9720 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.0 |
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