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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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model-index: |
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- name: buburayam2024_indobtwt_7_reprsample |
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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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# buburayam2024_indobtwt_7_reprsample |
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This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9512 |
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- F1 macro: 0.4163 |
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- Weighted: 0.6765 |
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- Balanced accuracy: 0.4952 |
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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: 5e-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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- 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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:| |
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| 1.1941 | 1.0 | 186 | 0.9804 | 0.3927 | 0.6619 | 0.4570 | |
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| 0.8084 | 2.0 | 372 | 0.9803 | 0.4381 | 0.7056 | 0.4876 | |
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| 0.3287 | 3.0 | 558 | 1.3391 | 0.3943 | 0.6546 | 0.4784 | |
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| 0.1292 | 4.0 | 744 | 1.4696 | 0.4297 | 0.6830 | 0.5058 | |
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| 0.0639 | 5.0 | 930 | 1.8854 | 0.4131 | 0.6647 | 0.4981 | |
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| 0.0088 | 6.0 | 1116 | 1.9583 | 0.4109 | 0.6704 | 0.4882 | |
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| 0.0156 | 7.0 | 1302 | 1.9512 | 0.4163 | 0.6765 | 0.4952 | |
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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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