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---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-multilingual-cased-finetuned-ijelid
results: []
widget:
- text: "Productnya bagus bgt guys, nek bales chat cepet tur pelayanane apik."
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-multilingual-cased-finetuned-ijelid
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5701
- Precision: 0.9255
- Recall: 0.9206
- F1: 0.9229
- Accuracy: 0.9449
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 256
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log | 1.0 | 25 | 0.5654 | 0.9300 | 0.9143 | 0.9219 | 0.9443 |
| No log | 2.0 | 50 | 0.5853 | 0.9272 | 0.9162 | 0.9214 | 0.9437 |
| No log | 3.0 | 75 | 0.5760 | 0.9275 | 0.9199 | 0.9235 | 0.9445 |
| No log | 4.0 | 100 | 0.5733 | 0.9254 | 0.9209 | 0.9230 | 0.9445 |
| No log | 5.0 | 125 | 0.5701 | 0.9255 | 0.9206 | 0.9229 | 0.9449 |
### Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu102
- Datasets 2.5.1
- Tokenizers 0.12.1
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