brescia commited on
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Model save

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README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.3172
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- - Accuracy: 0.9070
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- - Precision: 0.9070
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- - Recall: 0.9070
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- - F1: 0.9070
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  ## Model description
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@@ -55,13 +55,13 @@ The following hyperparameters were used during training:
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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 | 0.3170 | 0.9037 | 0.9037 | 0.9037 | 0.9037 |
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- | No log | 2.0 | 302 | 0.3172 | 0.9070 | 0.9070 | 0.9070 | 0.9070 |
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  ### Framework versions
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- - Transformers 4.41.0
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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
config.json CHANGED
@@ -35,7 +35,7 @@
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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": "4.41.0",
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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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