Model save
Browse files- README.md +7 -7
- model.safetensors +1 -1
- runs/May01_23-00-57_9e17d912dd59/events.out.tfevents.1714604458.9e17d912dd59.983.0 +3 -0
- runs/May01_23-47-50_9e17d912dd59/events.out.tfevents.1714607271.9e17d912dd59.983.1 +3 -0
- runs/May01_23-47-50_9e17d912dd59/events.out.tfevents.1714609350.9e17d912dd59.983.2 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 81 | 0.
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| No log | 2.0 | 162 | 0.
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### Framework versions
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This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4551
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- Accuracy: 0.8820
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- Precision: 0.8820
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- Recall: 0.8820
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- F1: 0.8820
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 81 | 0.2982 | 0.8758 | 0.8758 | 0.8758 | 0.8758 |
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| No log | 2.0 | 162 | 0.4551 | 0.8820 | 0.8820 | 0.8820 | 0.8820 |
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### Framework versions
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model.safetensors
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training_args.bin
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