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sentiment-pt-pl30-1

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  1. README.md +25 -27
  2. runs/Jun03_13-44-20_a358b85c7679/events.out.tfevents.1717422269.a358b85c7679.117233.0 +2 -2
  3. sentiment-pt/pytorch_adapter.bin +1 -1
  4. sentiment/pytorch_model_head.bin +1 -1
README.md CHANGED
@@ -1,6 +1,4 @@
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  ---
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- language:
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- - id
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  license: mit
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  base_model: indolem/indobert-base-uncased
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  tags:
@@ -22,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3434
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- - Accuracy: 0.8722
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- - Precision: 0.8485
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- - Recall: 0.8396
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- - F1: 0.8438
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  ## Model description
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@@ -57,26 +55,26 @@ 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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- | 0.5472 | 1.0 | 122 | 0.4993 | 0.7343 | 0.6726 | 0.6245 | 0.6339 |
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- | 0.4484 | 2.0 | 244 | 0.4157 | 0.7945 | 0.7655 | 0.8096 | 0.7744 |
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- | 0.3338 | 3.0 | 366 | 0.3279 | 0.8596 | 0.8510 | 0.7982 | 0.8179 |
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- | 0.2902 | 4.0 | 488 | 0.3037 | 0.8672 | 0.8449 | 0.8285 | 0.8360 |
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- | 0.2756 | 5.0 | 610 | 0.2922 | 0.8747 | 0.8499 | 0.8463 | 0.8481 |
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- | 0.2514 | 6.0 | 732 | 0.3059 | 0.8672 | 0.8359 | 0.8560 | 0.8446 |
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- | 0.2338 | 7.0 | 854 | 0.2970 | 0.8596 | 0.8278 | 0.8432 | 0.8347 |
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- | 0.2205 | 8.0 | 976 | 0.2967 | 0.8847 | 0.8784 | 0.8359 | 0.8531 |
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- | 0.2153 | 9.0 | 1098 | 0.2982 | 0.8672 | 0.8393 | 0.8410 | 0.8402 |
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- | 0.1969 | 10.0 | 1220 | 0.2943 | 0.8672 | 0.8423 | 0.8335 | 0.8377 |
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- | 0.185 | 11.0 | 1342 | 0.2973 | 0.8647 | 0.8359 | 0.8392 | 0.8376 |
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- | 0.1733 | 12.0 | 1464 | 0.3074 | 0.8672 | 0.8423 | 0.8335 | 0.8377 |
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- | 0.1616 | 13.0 | 1586 | 0.3186 | 0.8697 | 0.8460 | 0.8353 | 0.8404 |
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- | 0.16 | 14.0 | 1708 | 0.3222 | 0.8596 | 0.8278 | 0.8432 | 0.8347 |
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- | 0.1494 | 15.0 | 1830 | 0.3260 | 0.8747 | 0.8523 | 0.8413 | 0.8465 |
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- | 0.1501 | 16.0 | 1952 | 0.3233 | 0.8647 | 0.8359 | 0.8392 | 0.8376 |
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- | 0.1468 | 17.0 | 2074 | 0.3296 | 0.8672 | 0.8412 | 0.8360 | 0.8385 |
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- | 0.1423 | 18.0 | 2196 | 0.3367 | 0.8647 | 0.8398 | 0.8292 | 0.8342 |
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- | 0.1327 | 19.0 | 2318 | 0.3395 | 0.8697 | 0.8438 | 0.8403 | 0.8420 |
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- | 0.1413 | 20.0 | 2440 | 0.3434 | 0.8722 | 0.8485 | 0.8396 | 0.8438 |
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  ### Framework versions
 
1
  ---
 
 
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  license: mit
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  base_model: indolem/indobert-base-uncased
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  tags:
 
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3019
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+ - Accuracy: 0.8647
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+ - Precision: 0.8377
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+ - Recall: 0.8342
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+ - F1: 0.8359
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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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+ | 0.5413 | 1.0 | 122 | 0.4949 | 0.7368 | 0.6763 | 0.6438 | 0.6531 |
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+ | 0.4306 | 2.0 | 244 | 0.3954 | 0.8246 | 0.7902 | 0.8259 | 0.8019 |
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+ | 0.3344 | 3.0 | 366 | 0.3397 | 0.8521 | 0.8370 | 0.7929 | 0.8099 |
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+ | 0.2925 | 4.0 | 488 | 0.3211 | 0.8471 | 0.8264 | 0.7918 | 0.8058 |
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+ | 0.2794 | 5.0 | 610 | 0.3064 | 0.8622 | 0.8314 | 0.8425 | 0.8365 |
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+ | 0.2464 | 6.0 | 732 | 0.2857 | 0.8672 | 0.8356 | 0.8585 | 0.8453 |
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+ | 0.2332 | 7.0 | 854 | 0.2846 | 0.8772 | 0.8496 | 0.8581 | 0.8537 |
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+ | 0.2216 | 8.0 | 976 | 0.2906 | 0.8596 | 0.8360 | 0.8182 | 0.8262 |
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+ | 0.2123 | 9.0 | 1098 | 0.2781 | 0.8697 | 0.8488 | 0.8303 | 0.8386 |
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+ | 0.1911 | 10.0 | 1220 | 0.2896 | 0.8722 | 0.8562 | 0.8271 | 0.8395 |
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+ | 0.1878 | 11.0 | 1342 | 0.2814 | 0.8747 | 0.8479 | 0.8513 | 0.8496 |
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+ | 0.1797 | 12.0 | 1464 | 0.2830 | 0.8672 | 0.8402 | 0.8385 | 0.8394 |
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+ | 0.1746 | 13.0 | 1586 | 0.2900 | 0.8672 | 0.8496 | 0.8210 | 0.8332 |
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+ | 0.1677 | 14.0 | 1708 | 0.2798 | 0.8697 | 0.8411 | 0.8478 | 0.8443 |
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+ | 0.1585 | 15.0 | 1830 | 0.2823 | 0.8722 | 0.8437 | 0.8521 | 0.8477 |
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+ | 0.1575 | 16.0 | 1952 | 0.2816 | 0.8722 | 0.8413 | 0.8646 | 0.8511 |
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+ | 0.146 | 17.0 | 2074 | 0.3027 | 0.8647 | 0.8377 | 0.8342 | 0.8359 |
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+ | 0.1368 | 18.0 | 2196 | 0.2961 | 0.8672 | 0.8372 | 0.8485 | 0.8425 |
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+ | 0.133 | 19.0 | 2318 | 0.3024 | 0.8622 | 0.8342 | 0.8325 | 0.8333 |
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+ | 0.1377 | 20.0 | 2440 | 0.3019 | 0.8647 | 0.8377 | 0.8342 | 0.8359 |
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  ### Framework versions
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