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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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- 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: product_classifier_url_name2 |
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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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# product_classifier_url_name2 |
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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: 0.2686 |
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- Accuracy: 0.9383 |
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- F1: 0.9380 |
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- Precision: 0.9380 |
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- Recall: 0.9383 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 4 |
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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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| 0.8154 | 1.0 | 960 | 0.3342 | 0.8979 | 0.8979 | 0.8989 | 0.8979 | |
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| 0.2711 | 2.0 | 1920 | 0.2602 | 0.9279 | 0.9277 | 0.9278 | 0.9279 | |
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| 0.1624 | 3.0 | 2880 | 0.2528 | 0.9354 | 0.9351 | 0.9356 | 0.9354 | |
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| 0.109 | 4.0 | 3840 | 0.2686 | 0.9383 | 0.9380 | 0.9380 | 0.9383 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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