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--- |
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license: apache-2.0 |
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base_model: indolem/indobertweet-base-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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: sa-tapera |
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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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# sa-tapera |
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This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5534 |
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- Accuracy: 0.8973 |
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- Precision: 0.9031 |
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- Recall: 0.8973 |
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- F1: 0.8997 |
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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: 0.0001 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.5638 | 1.0 | 107 | 0.4124 | 0.8527 | 0.8624 | 0.8429 | 0.8504 | |
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| 0.1947 | 2.0 | 214 | 0.4518 | 0.8938 | 0.9112 | 0.8840 | 0.8933 | |
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| 0.0754 | 3.0 | 321 | 0.5060 | 0.8904 | 0.8937 | 0.8967 | 0.8950 | |
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| 0.0192 | 4.0 | 428 | 0.5699 | 0.8973 | 0.9016 | 0.8962 | 0.8981 | |
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| 0.0092 | 5.0 | 535 | 0.5534 | 0.8973 | 0.9031 | 0.8973 | 0.8997 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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