End of training
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- model.safetensors +1 -1
README.md
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# indonesian-roberta-base-posp-tagger-finetuned-indonlu-smsa
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This model is a fine-tuned version of [w11wo/indonesian-roberta-base-posp-tagger](https://huggingface.co/w11wo/indonesian-roberta-base-posp-tagger) on
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## Model description
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 15
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### Framework versions
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- Transformers 4.41.2
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# indonesian-roberta-base-posp-tagger-finetuned-indonlu-smsa
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This model is a fine-tuned version of [w11wo/indonesian-roberta-base-posp-tagger](https://huggingface.co/w11wo/indonesian-roberta-base-posp-tagger) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6399
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- Balanced Accuracy: 0.6249
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## Model description
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
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| No log | 1.0 | 250 | 1.0331 | 0.2308 |
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| 1.1193 | 2.0 | 500 | 0.8059 | 0.4522 |
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| 1.1193 | 3.0 | 750 | 0.8079 | 0.4752 |
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| 0.6263 | 4.0 | 1000 | 0.8437 | 0.3973 |
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| 0.6263 | 5.0 | 1250 | 0.9804 | 0.5115 |
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| 0.3579 | 6.0 | 1500 | 1.1114 | 0.5958 |
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| 0.3579 | 7.0 | 1750 | 1.3259 | 0.5683 |
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| 0.2035 | 8.0 | 2000 | 1.3290 | 0.5328 |
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| 0.2035 | 9.0 | 2250 | 1.4968 | 0.5712 |
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| 0.1192 | 10.0 | 2500 | 1.4737 | 0.5299 |
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| 0.1192 | 11.0 | 2750 | 1.5556 | 0.5513 |
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| 0.0801 | 12.0 | 3000 | 1.6399 | 0.6249 |
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| 0.0801 | 13.0 | 3250 | 1.5364 | 0.5677 |
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| 0.049 | 14.0 | 3500 | 1.5462 | 0.5638 |
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| 0.049 | 15.0 | 3750 | 1.5863 | 0.5682 |
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### Framework versions
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- Transformers 4.41.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 498631280
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