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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_1709_v2_reduce_others |
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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_1709_v2_reduce_others |
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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: 0.1501 |
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- Accuracy: 0.9636 |
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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 | 363 | 1.0481 | 0.7263 | |
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| 1.5287 | 2.0 | 726 | 0.5613 | 0.8655 | |
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| 0.6856 | 3.0 | 1089 | 0.3666 | 0.9121 | |
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| 0.6856 | 4.0 | 1452 | 0.2880 | 0.9284 | |
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| 0.4313 | 5.0 | 1815 | 0.2187 | 0.9464 | |
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| 0.3097 | 6.0 | 2178 | 0.1992 | 0.9505 | |
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| 0.2454 | 7.0 | 2541 | 0.1627 | 0.9598 | |
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| 0.2454 | 8.0 | 2904 | 0.1501 | 0.9636 | |
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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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