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--- |
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license: apache-2.0 |
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base_model: 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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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: multibertfinetuned1107 |
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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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# multibertfinetuned1107 |
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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: 0.5977 |
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- Precision: 0.6463 |
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- Recall: 0.6078 |
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- F1: 0.6264 |
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- Accuracy: 0.8835 |
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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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- 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 | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 145 | 0.6113 | 0.6550 | 0.5854 | 0.6182 | 0.8735 | |
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| No log | 2.0 | 290 | 0.6457 | 0.6270 | 0.5659 | 0.5949 | 0.8705 | |
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| No log | 3.0 | 435 | 0.5977 | 0.6463 | 0.6078 | 0.6264 | 0.8835 | |
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| 0.1409 | 4.0 | 580 | 0.6095 | 0.6752 | 0.6449 | 0.6597 | 0.8865 | |
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| 0.1409 | 5.0 | 725 | 0.6566 | 0.6680 | 0.6380 | 0.6527 | 0.8851 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.0 |
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- Tokenizers 0.13.3 |
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