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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: indobertweet-finetuned-ijelid |
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results: [] |
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widget: |
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- text: "Productnya bagus bgt guys, nek bales chat cepet tur pelayanane apik." |
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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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# indobertweet-finetuned-ijelid |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5301 |
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- Precision: 0.9246 |
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- Recall: 0.9344 |
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- F1: 0.9293 |
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- Accuracy: 0.9513 |
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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: 128 |
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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 | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 49 | 0.5141 | 0.9216 | 0.9326 | 0.9268 | 0.9508 | |
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| No log | 2.0 | 98 | 0.5187 | 0.9222 | 0.9356 | 0.9285 | 0.9512 | |
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| No log | 3.0 | 147 | 0.5307 | 0.9256 | 0.9341 | 0.9296 | 0.9516 | |
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| No log | 4.0 | 196 | 0.5307 | 0.9251 | 0.9343 | 0.9295 | 0.9512 | |
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| No log | 5.0 | 245 | 0.5301 | 0.9246 | 0.9344 | 0.9293 | 0.9513 | |
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### Framework versions |
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- Transformers 4.21.2 |
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- Pytorch 1.12.1+cu102 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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