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--- |
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license: mit |
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base_model: w11wo/indonesian-roberta-base-sentiment-classifier |
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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: results |
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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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# results |
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This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2671 |
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- Accuracy: 0.9051 |
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- Precision: 0.9004 |
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- Recall: 0.9051 |
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- F1: 0.9007 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 500 |
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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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| 0.2786 | 0.9992 | 589 | 0.2370 | 0.9109 | 0.9053 | 0.9109 | 0.9060 | |
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| 0.2205 | 2.0 | 1179 | 0.2626 | 0.9143 | 0.9175 | 0.9143 | 0.9154 | |
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| 0.1252 | 2.9992 | 1768 | 0.3468 | 0.9169 | 0.9160 | 0.9169 | 0.9164 | |
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| 0.0869 | 4.0 | 2358 | 0.4000 | 0.9220 | 0.9200 | 0.9220 | 0.9208 | |
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| 0.0147 | 4.9958 | 2945 | 0.4424 | 0.9220 | 0.9180 | 0.9220 | 0.9194 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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