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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: bert-base-multilingual-cased-reddit-indonesia-sarcastic |
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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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# bert-base-multilingual-cased-reddit-indonesia-sarcastic |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-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: 0.4558 |
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- Accuracy: 0.7829 |
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- F1: 0.5338 |
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- Precision: 0.5764 |
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- Recall: 0.4972 |
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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: 32 |
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- eval_batch_size: 64 |
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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: cosine |
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- num_epochs: 100.0 |
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- mixed_precision_training: Native AMP |
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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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| 0.4935 | 1.0 | 309 | 0.4739 | 0.7711 | 0.5186 | 0.5472 | 0.4929 | |
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| 0.4203 | 2.0 | 618 | 0.4527 | 0.7895 | 0.5547 | 0.5892 | 0.5241 | |
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| 0.3469 | 3.0 | 927 | 0.5105 | 0.7923 | 0.4957 | 0.6316 | 0.4079 | |
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| 0.2754 | 4.0 | 1236 | 0.5126 | 0.7746 | 0.5254 | 0.5552 | 0.4986 | |
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| 0.2208 | 5.0 | 1545 | 0.6012 | 0.7803 | 0.5064 | 0.5782 | 0.4504 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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