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--- |
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license: apache-2.0 |
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base_model: bert-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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model-index: |
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- name: 16_combo_webscrap_2109_v1_addgptdf |
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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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# 16_combo_webscrap_2109_v1_addgptdf |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1495 |
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- Accuracy: 0.9568 |
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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: 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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 467 | 0.8510 | 0.7806 | |
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| 1.534 | 2.0 | 934 | 0.5037 | 0.8696 | |
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| 0.7131 | 3.0 | 1401 | 0.3481 | 0.9104 | |
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| 0.4879 | 4.0 | 1868 | 0.2717 | 0.9244 | |
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| 0.3665 | 5.0 | 2335 | 0.2324 | 0.9360 | |
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| 0.2948 | 6.0 | 2802 | 0.1949 | 0.9451 | |
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| 0.24 | 7.0 | 3269 | 0.1550 | 0.9566 | |
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| 0.1961 | 8.0 | 3736 | 0.1495 | 0.9568 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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