Model save
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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 | 151 | 0.
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| No log | 2.0 | 302 | 0.
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### Framework versions
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- Transformers 4.41.
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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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: 0.3771
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- Accuracy: 0.9003
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- Precision: 0.9003
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- Recall: 0.9003
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- F1: 0.9003
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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 | 151 | 0.2981 | 0.8704 | 0.8704 | 0.8704 | 0.8704 |
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| No log | 2.0 | 302 | 0.3771 | 0.9003 | 0.9003 | 0.9003 | 0.9003 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.41.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50000
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.41.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50000
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model.safetensors
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training_args.bin
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