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damand2061
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innermore-x-indobert-base-p1

Token Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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End of training

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  1. README.md +23 -24
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,12 +15,12 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0013
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- - Validation Loss: 0.1945
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- - Train Precision: 0.8199
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- - Train Recall: 0.7425
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- - Train F1: 0.7793
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- - Train Accuracy: 0.9614
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  - Epoch: 14
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  ## Model description
@@ -45,28 +45,27 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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- |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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- | 0.7385 | 0.3395 | 0.2826 | 0.2232 | 0.2494 | 0.9016 | 0 |
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- | 0.2565 | 0.2143 | 0.6564 | 0.5494 | 0.5981 | 0.9360 | 1 |
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- | 0.1188 | 0.2212 | 0.6146 | 0.5064 | 0.5553 | 0.9317 | 2 |
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- | 0.0631 | 0.1887 | 0.7321 | 0.7039 | 0.7177 | 0.9524 | 3 |
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- | 0.0358 | 0.1894 | 0.7210 | 0.7210 | 0.7210 | 0.9496 | 4 |
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- | 0.0161 | 0.1829 | 0.8301 | 0.7339 | 0.7790 | 0.9605 | 5 |
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- | 0.0092 | 0.1609 | 0.7982 | 0.7811 | 0.7896 | 0.9590 | 6 |
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- | 0.0060 | 0.1885 | 0.8269 | 0.7382 | 0.7800 | 0.9619 | 7 |
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- | 0.0035 | 0.1838 | 0.8261 | 0.7339 | 0.7773 | 0.9614 | 8 |
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- | 0.0022 | 0.1852 | 0.8182 | 0.7339 | 0.7738 | 0.9609 | 9 |
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- | 0.0026 | 0.1900 | 0.7991 | 0.7339 | 0.7651 | 0.9590 | 10 |
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- | 0.0012 | 0.1923 | 0.7907 | 0.7296 | 0.7589 | 0.9595 | 11 |
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- | 0.0010 | 0.1927 | 0.8199 | 0.7425 | 0.7793 | 0.9614 | 12 |
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- | 0.0014 | 0.1942 | 0.8199 | 0.7425 | 0.7793 | 0.9614 | 13 |
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- | 0.0013 | 0.1945 | 0.8199 | 0.7425 | 0.7793 | 0.9614 | 14 |
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  ### Framework versions
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  - Transformers 4.38.2
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  - TensorFlow 2.15.0
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- - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0007
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+ - Validation Loss: 0.2387
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+ - Validation Precision: 0.7583
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+ - Validation Recall: 0.6987
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+ - Validation F1: 0.7273
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+ - Validation Accuracy: 0.9535
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  - Epoch: 14
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  ## Model description
 
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  ### Training results
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+ | Train Loss | Validation Loss | Validation Precision | Validation Recall | Validation F1 | Validation Accuracy | Epoch |
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+ |:----------:|:---------------:|:--------------------:|:-----------------:|:-------------:|:-------------------:|:-----:|
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+ | 0.5438 | 0.2878 | 0.5065 | 0.5109 | 0.5087 | 0.9161 | 0 |
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+ | 0.1798 | 0.1890 | 0.6416 | 0.6332 | 0.6374 | 0.9425 | 1 |
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+ | 0.0764 | 0.2122 | 0.5833 | 0.5502 | 0.5663 | 0.9338 | 2 |
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+ | 0.0491 | 0.1986 | 0.7729 | 0.6987 | 0.7339 | 0.9545 | 3 |
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+ | 0.0333 | 0.2071 | 0.75 | 0.6812 | 0.7140 | 0.9545 | 4 |
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+ | 0.0252 | 0.1806 | 0.7456 | 0.7424 | 0.7440 | 0.9530 | 5 |
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+ | 0.0138 | 0.2283 | 0.7018 | 0.6987 | 0.7002 | 0.9497 | 6 |
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+ | 0.0073 | 0.2202 | 0.7318 | 0.7031 | 0.7171 | 0.9530 | 7 |
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+ | 0.0065 | 0.2174 | 0.7762 | 0.7118 | 0.7426 | 0.9540 | 8 |
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+ | 0.0037 | 0.2373 | 0.7619 | 0.6987 | 0.7289 | 0.9516 | 9 |
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+ | 0.0021 | 0.2343 | 0.7594 | 0.7031 | 0.7302 | 0.9535 | 10 |
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+ | 0.0015 | 0.2478 | 0.7546 | 0.7118 | 0.7326 | 0.9530 | 11 |
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+ | 0.0011 | 0.2405 | 0.7630 | 0.7031 | 0.7318 | 0.9540 | 12 |
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+ | 0.0006 | 0.2388 | 0.7583 | 0.6987 | 0.7273 | 0.9535 | 13 |
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+ | 0.0007 | 0.2387 | 0.7583 | 0.6987 | 0.7273 | 0.9535 | 14 |
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  ### Framework versions
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  - Transformers 4.38.2
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  - TensorFlow 2.15.0
 
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  - Tokenizers 0.15.2
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