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sentiment-lora-r16

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  1. README.md +25 -27
  2. sentiment-lora/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: 0.2650
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- - Accuracy: 0.8947
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- - Precision: 0.8743
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- - Recall: 0.8705
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- - F1: 0.8724
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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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- | 0.5618 | 1.0 | 122 | 0.5172 | 0.7419 | 0.6843 | 0.6398 | 0.6505 |
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- | 0.5002 | 2.0 | 244 | 0.4820 | 0.7544 | 0.7059 | 0.7137 | 0.7094 |
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- | 0.4251 | 3.0 | 366 | 0.3921 | 0.8346 | 0.8005 | 0.8005 | 0.8005 |
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- | 0.3623 | 4.0 | 488 | 0.3535 | 0.8421 | 0.8122 | 0.8008 | 0.8061 |
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- | 0.3289 | 5.0 | 610 | 0.3392 | 0.8596 | 0.8282 | 0.8407 | 0.8339 |
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- | 0.2968 | 6.0 | 732 | 0.3190 | 0.8697 | 0.8449 | 0.8378 | 0.8412 |
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- | 0.2857 | 7.0 | 854 | 0.3106 | 0.8772 | 0.8535 | 0.8481 | 0.8507 |
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- | 0.281 | 8.0 | 976 | 0.2993 | 0.8822 | 0.8596 | 0.8542 | 0.8568 |
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- | 0.2638 | 9.0 | 1098 | 0.2937 | 0.8722 | 0.8431 | 0.8546 | 0.8484 |
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- | 0.2548 | 10.0 | 1220 | 0.2814 | 0.8847 | 0.8599 | 0.8634 | 0.8616 |
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- | 0.2446 | 11.0 | 1342 | 0.2856 | 0.8922 | 0.8734 | 0.8637 | 0.8683 |
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- | 0.2478 | 12.0 | 1464 | 0.2807 | 0.8872 | 0.8634 | 0.8652 | 0.8643 |
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- | 0.236 | 13.0 | 1586 | 0.2720 | 0.8847 | 0.8609 | 0.8609 | 0.8609 |
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- | 0.227 | 14.0 | 1708 | 0.2732 | 0.8872 | 0.8614 | 0.8702 | 0.8656 |
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- | 0.223 | 15.0 | 1830 | 0.2699 | 0.8947 | 0.8698 | 0.8805 | 0.8749 |
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- | 0.2257 | 16.0 | 1952 | 0.2674 | 0.8922 | 0.8683 | 0.8737 | 0.8710 |
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- | 0.2204 | 17.0 | 2074 | 0.2656 | 0.8922 | 0.8694 | 0.8712 | 0.8703 |
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- | 0.2136 | 18.0 | 2196 | 0.2662 | 0.8922 | 0.8683 | 0.8737 | 0.8710 |
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- | 0.2196 | 19.0 | 2318 | 0.2652 | 0.8947 | 0.8743 | 0.8705 | 0.8724 |
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- | 0.2101 | 20.0 | 2440 | 0.2650 | 0.8947 | 0.8743 | 0.8705 | 0.8724 |
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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: 0.2631
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+ - Accuracy: 0.8872
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+ - Precision: 0.8658
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+ - Recall: 0.8602
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+ - F1: 0.8629
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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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+ | 0.5544 | 1.0 | 122 | 0.5252 | 0.7218 | 0.6705 | 0.6807 | 0.6746 |
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+ | 0.4974 | 2.0 | 244 | 0.4521 | 0.7845 | 0.7792 | 0.6650 | 0.6840 |
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+ | 0.4206 | 3.0 | 366 | 0.3642 | 0.8296 | 0.8034 | 0.7694 | 0.7829 |
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+ | 0.3657 | 4.0 | 488 | 0.3376 | 0.8471 | 0.8184 | 0.8068 | 0.8122 |
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+ | 0.3188 | 5.0 | 610 | 0.3198 | 0.8496 | 0.8202 | 0.8136 | 0.8167 |
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+ | 0.3069 | 6.0 | 732 | 0.3127 | 0.8546 | 0.8239 | 0.8272 | 0.8255 |
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+ | 0.2838 | 7.0 | 854 | 0.3053 | 0.8672 | 0.8449 | 0.8285 | 0.8360 |
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+ | 0.2699 | 8.0 | 976 | 0.2976 | 0.8747 | 0.8647 | 0.8238 | 0.8404 |
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+ | 0.2614 | 9.0 | 1098 | 0.2887 | 0.8647 | 0.8398 | 0.8292 | 0.8342 |
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+ | 0.2515 | 10.0 | 1220 | 0.2852 | 0.8596 | 0.8316 | 0.8282 | 0.8298 |
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+ | 0.2453 | 11.0 | 1342 | 0.2800 | 0.8697 | 0.8411 | 0.8478 | 0.8443 |
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+ | 0.236 | 12.0 | 1464 | 0.2718 | 0.8797 | 0.8633 | 0.8399 | 0.8502 |
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+ | 0.227 | 13.0 | 1586 | 0.2712 | 0.8797 | 0.8560 | 0.8524 | 0.8541 |
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+ | 0.227 | 14.0 | 1708 | 0.2757 | 0.8697 | 0.8386 | 0.8603 | 0.8479 |
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+ | 0.2171 | 15.0 | 1830 | 0.2708 | 0.8822 | 0.8530 | 0.8742 | 0.8622 |
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+ | 0.214 | 16.0 | 1952 | 0.2632 | 0.8872 | 0.8658 | 0.8602 | 0.8629 |
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+ | 0.2124 | 17.0 | 2074 | 0.2639 | 0.8822 | 0.8574 | 0.8592 | 0.8583 |
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+ | 0.2166 | 18.0 | 2196 | 0.2632 | 0.8872 | 0.8645 | 0.8627 | 0.8636 |
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+ | 0.2086 | 19.0 | 2318 | 0.2630 | 0.8822 | 0.8585 | 0.8567 | 0.8575 |
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+ | 0.2113 | 20.0 | 2440 | 0.2631 | 0.8872 | 0.8658 | 0.8602 | 0.8629 |
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  ### Framework versions
sentiment-lora/pytorch_adapter.bin CHANGED
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sentiment/pytorch_model_head.bin CHANGED
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