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sentiment-ia3

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  1. README.md +25 -27
  2. sentiment-ia3/pytorch_adapter.bin +1 -1
  3. 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: 0.4042
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- - Accuracy: 0.8145
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- - Precision: 0.7763
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- - Recall: 0.7763
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- - F1: 0.7763
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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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- | 0.5636 | 1.0 | 122 | 0.5070 | 0.7243 | 0.6575 | 0.6274 | 0.6354 |
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- | 0.5128 | 2.0 | 244 | 0.5015 | 0.7343 | 0.6911 | 0.7120 | 0.6976 |
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- | 0.4941 | 3.0 | 366 | 0.4709 | 0.7469 | 0.6955 | 0.6984 | 0.6969 |
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- | 0.4702 | 4.0 | 488 | 0.4496 | 0.7744 | 0.7275 | 0.7154 | 0.7207 |
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- | 0.4704 | 5.0 | 610 | 0.4521 | 0.7719 | 0.7270 | 0.7386 | 0.7320 |
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- | 0.4616 | 6.0 | 732 | 0.4490 | 0.7644 | 0.7175 | 0.7258 | 0.7213 |
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- | 0.4543 | 7.0 | 854 | 0.4381 | 0.7820 | 0.7389 | 0.7532 | 0.7449 |
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- | 0.4532 | 8.0 | 976 | 0.4197 | 0.8070 | 0.7744 | 0.7385 | 0.7519 |
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- | 0.4517 | 9.0 | 1098 | 0.4195 | 0.7970 | 0.7551 | 0.7539 | 0.7545 |
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- | 0.4438 | 10.0 | 1220 | 0.4102 | 0.8170 | 0.8013 | 0.7330 | 0.7540 |
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- | 0.4389 | 11.0 | 1342 | 0.4112 | 0.8271 | 0.7933 | 0.7826 | 0.7876 |
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- | 0.4428 | 12.0 | 1464 | 0.4179 | 0.7970 | 0.7555 | 0.7664 | 0.7604 |
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- | 0.4421 | 13.0 | 1586 | 0.4030 | 0.8321 | 0.8110 | 0.7662 | 0.7828 |
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- | 0.4403 | 14.0 | 1708 | 0.4037 | 0.8321 | 0.8014 | 0.7837 | 0.7915 |
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- | 0.4392 | 15.0 | 1830 | 0.4077 | 0.8221 | 0.7852 | 0.7866 | 0.7859 |
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- | 0.4329 | 16.0 | 1952 | 0.4062 | 0.8195 | 0.7820 | 0.7848 | 0.7834 |
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- | 0.4338 | 17.0 | 2074 | 0.4058 | 0.8145 | 0.7761 | 0.7788 | 0.7774 |
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- | 0.4407 | 18.0 | 2196 | 0.4042 | 0.8145 | 0.7763 | 0.7763 | 0.7763 |
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- | 0.4329 | 19.0 | 2318 | 0.4033 | 0.8195 | 0.7827 | 0.7798 | 0.7812 |
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- | 0.4292 | 20.0 | 2440 | 0.4042 | 0.8145 | 0.7763 | 0.7763 | 0.7763 |
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  ### Framework versions
 
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  ---
 
 
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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: 0.4451
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+ - Accuracy: 0.7870
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+ - Precision: 0.7443
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+ - Recall: 0.7243
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+ - F1: 0.7325
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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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+ | 0.5653 | 1.0 | 122 | 0.5246 | 0.7218 | 0.6540 | 0.6257 | 0.6333 |
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+ | 0.5167 | 2.0 | 244 | 0.5215 | 0.7293 | 0.6805 | 0.6935 | 0.6855 |
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+ | 0.4984 | 3.0 | 366 | 0.4975 | 0.7444 | 0.6916 | 0.6916 | 0.6916 |
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+ | 0.4765 | 4.0 | 488 | 0.4854 | 0.7419 | 0.6837 | 0.6523 | 0.6619 |
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+ | 0.4797 | 5.0 | 610 | 0.4852 | 0.7719 | 0.7270 | 0.7386 | 0.7320 |
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+ | 0.4668 | 6.0 | 732 | 0.4738 | 0.7669 | 0.7190 | 0.7201 | 0.7195 |
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+ | 0.4622 | 7.0 | 854 | 0.4769 | 0.7719 | 0.7261 | 0.7336 | 0.7295 |
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+ | 0.4621 | 8.0 | 976 | 0.4625 | 0.7494 | 0.6949 | 0.6577 | 0.6686 |
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+ | 0.4561 | 9.0 | 1098 | 0.4609 | 0.7769 | 0.7311 | 0.7122 | 0.7199 |
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+ | 0.4519 | 10.0 | 1220 | 0.4608 | 0.7669 | 0.7252 | 0.6676 | 0.6822 |
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+ | 0.4413 | 11.0 | 1342 | 0.4544 | 0.7694 | 0.7215 | 0.6994 | 0.7080 |
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+ | 0.4449 | 12.0 | 1464 | 0.4569 | 0.7845 | 0.7401 | 0.7425 | 0.7413 |
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+ | 0.4506 | 13.0 | 1586 | 0.4527 | 0.7644 | 0.7197 | 0.6683 | 0.6821 |
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+ | 0.4446 | 14.0 | 1708 | 0.4488 | 0.7794 | 0.7379 | 0.6989 | 0.7121 |
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+ | 0.4426 | 15.0 | 1830 | 0.4491 | 0.7870 | 0.7436 | 0.7293 | 0.7355 |
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+ | 0.4409 | 16.0 | 1952 | 0.4465 | 0.7719 | 0.7257 | 0.6961 | 0.7068 |
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+ | 0.4348 | 17.0 | 2074 | 0.4474 | 0.7870 | 0.7436 | 0.7293 | 0.7355 |
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+ | 0.4478 | 18.0 | 2196 | 0.4460 | 0.7845 | 0.7408 | 0.7225 | 0.7302 |
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+ | 0.4382 | 19.0 | 2318 | 0.4448 | 0.7870 | 0.7447 | 0.7218 | 0.7310 |
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+ | 0.4313 | 20.0 | 2440 | 0.4451 | 0.7870 | 0.7443 | 0.7243 | 0.7325 |
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  ### Framework versions
sentiment-ia3/pytorch_adapter.bin CHANGED
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sentiment/pytorch_model_head.bin CHANGED
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