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hubert-classifier-aug-fold-1-old

Audio Classification
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TensorBoard
Safetensors
hubert
Generated from Trainer
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xet
 Metrics Community
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End of training

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  1. README.md +84 -121
  2. runs/Jun28_12-13-42_LAPTOP-1GID9RGH/events.out.tfevents.1719551623.LAPTOP-1GID9RGH.1516.2 +2 -2
  3. runs/Jun28_12-13-42_LAPTOP-1GID9RGH/events.out.tfevents.1719553618.LAPTOP-1GID9RGH.1516.3 +3 -0
README.md CHANGED
@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5721
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  - Accuracy: 0.8706
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- - Precision: 0.8813
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  - Recall: 0.8706
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- - F1: 0.8644
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- - Binary: 0.9094
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  ## Model description
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@@ -59,123 +59,86 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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- | No log | 0.19 | 50 | 4.4259 | 0.0135 | 0.0002 | 0.0135 | 0.0004 | 0.1278 |
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- | No log | 0.38 | 100 | 3.8225 | 0.0485 | 0.0033 | 0.0485 | 0.0060 | 0.3151 |
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- | No log | 0.58 | 150 | 3.3928 | 0.0701 | 0.0104 | 0.0701 | 0.0169 | 0.3450 |
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- | No log | 0.77 | 200 | 3.2088 | 0.0836 | 0.0166 | 0.0836 | 0.0258 | 0.3553 |
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- | No log | 0.96 | 250 | 3.0752 | 0.1078 | 0.0279 | 0.1078 | 0.0388 | 0.3714 |
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- | 3.8204 | 1.15 | 300 | 2.9617 | 0.1186 | 0.0338 | 0.1186 | 0.0443 | 0.3776 |
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- | 3.8204 | 1.34 | 350 | 2.7928 | 0.1617 | 0.0704 | 0.1617 | 0.0848 | 0.4100 |
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- | 3.8204 | 1.53 | 400 | 2.5904 | 0.2237 | 0.1640 | 0.2237 | 0.1427 | 0.4542 |
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- | 3.8204 | 1.73 | 450 | 2.3895 | 0.2615 | 0.1634 | 0.2615 | 0.1771 | 0.4814 |
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- | 3.8204 | 1.92 | 500 | 2.2567 | 0.2992 | 0.2170 | 0.2992 | 0.2160 | 0.5097 |
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- | 2.9288 | 2.11 | 550 | 2.0903 | 0.3801 | 0.2993 | 0.3801 | 0.3008 | 0.5668 |
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- | 2.9288 | 2.3 | 600 | 1.9624 | 0.4151 | 0.3638 | 0.4151 | 0.3389 | 0.5900 |
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- | 2.9288 | 2.49 | 650 | 1.7353 | 0.5148 | 0.4641 | 0.5148 | 0.4447 | 0.6625 |
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- | 2.9288 | 2.68 | 700 | 1.6687 | 0.5013 | 0.4658 | 0.5013 | 0.4433 | 0.6526 |
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- | 2.9288 | 2.88 | 750 | 1.5726 | 0.5391 | 0.5299 | 0.5391 | 0.4914 | 0.6817 |
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- | 2.2908 | 3.07 | 800 | 1.4471 | 0.5714 | 0.5785 | 0.5714 | 0.5269 | 0.7003 |
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- | 2.2908 | 3.26 | 850 | 1.3350 | 0.6334 | 0.6432 | 0.6334 | 0.6040 | 0.7445 |
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- | 2.2908 | 3.45 | 900 | 1.1787 | 0.6685 | 0.6811 | 0.6685 | 0.6349 | 0.7690 |
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- | 2.2908 | 3.64 | 950 | 1.1315 | 0.6846 | 0.6962 | 0.6846 | 0.6524 | 0.7803 |
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- | 2.2908 | 3.84 | 1000 | 1.0283 | 0.7493 | 0.7751 | 0.7493 | 0.7298 | 0.8248 |
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- | 1.8601 | 4.03 | 1050 | 1.0553 | 0.7089 | 0.7311 | 0.7089 | 0.6824 | 0.7984 |
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- | 1.8601 | 4.22 | 1100 | 0.9262 | 0.7385 | 0.7627 | 0.7385 | 0.7190 | 0.8170 |
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- | 1.8601 | 4.41 | 1150 | 0.9209 | 0.7385 | 0.7586 | 0.7385 | 0.7221 | 0.8170 |
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- | 1.8601 | 4.6 | 1200 | 0.9163 | 0.7520 | 0.8027 | 0.7520 | 0.7416 | 0.8280 |
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- | 1.8601 | 4.79 | 1250 | 0.7954 | 0.8140 | 0.8394 | 0.8140 | 0.8028 | 0.8682 |
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- | 1.8601 | 4.99 | 1300 | 0.8244 | 0.7709 | 0.7999 | 0.7709 | 0.7651 | 0.8388 |
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- | 1.624 | 5.18 | 1350 | 0.8025 | 0.7655 | 0.8100 | 0.7655 | 0.7599 | 0.8364 |
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- | 1.624 | 5.37 | 1400 | 0.7521 | 0.7925 | 0.8238 | 0.7925 | 0.7827 | 0.8558 |
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- | 1.624 | 5.56 | 1450 | 0.7821 | 0.7898 | 0.8231 | 0.7898 | 0.7824 | 0.8528 |
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- | 1.624 | 5.75 | 1500 | 0.6841 | 0.7951 | 0.8237 | 0.7951 | 0.7887 | 0.8577 |
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- | 1.624 | 5.94 | 1550 | 0.6757 | 0.7978 | 0.8276 | 0.7978 | 0.7935 | 0.8596 |
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- | 1.4343 | 6.14 | 1600 | 0.6709 | 0.8140 | 0.8415 | 0.8140 | 0.8094 | 0.8709 |
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- | 1.4343 | 6.33 | 1650 | 0.6361 | 0.8113 | 0.8364 | 0.8113 | 0.8045 | 0.8690 |
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- | 1.4343 | 6.52 | 1700 | 0.6413 | 0.8275 | 0.8479 | 0.8275 | 0.8231 | 0.8814 |
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- | 1.4343 | 6.71 | 1750 | 0.6074 | 0.8302 | 0.8484 | 0.8302 | 0.8244 | 0.8803 |
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- | 1.4343 | 6.9 | 1800 | 0.6286 | 0.8005 | 0.8321 | 0.8005 | 0.7964 | 0.8606 |
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- | 1.3175 | 7.09 | 1850 | 0.5431 | 0.8356 | 0.8558 | 0.8356 | 0.8312 | 0.8860 |
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- | 1.3175 | 7.29 | 1900 | 0.5612 | 0.8491 | 0.8828 | 0.8491 | 0.8499 | 0.8927 |
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- | 1.3175 | 7.48 | 1950 | 0.5324 | 0.8491 | 0.8795 | 0.8491 | 0.8492 | 0.8954 |
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- | 1.3175 | 7.67 | 2000 | 0.5793 | 0.8383 | 0.8589 | 0.8383 | 0.8345 | 0.8871 |
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- | 1.3175 | 7.86 | 2050 | 0.5722 | 0.8248 | 0.8575 | 0.8248 | 0.8258 | 0.8757 |
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- | 1.2154 | 8.05 | 2100 | 0.6362 | 0.8167 | 0.8511 | 0.8167 | 0.8149 | 0.8701 |
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- | 1.2154 | 8.25 | 2150 | 0.5846 | 0.8302 | 0.8588 | 0.8302 | 0.8293 | 0.8814 |
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- | 1.2154 | 8.44 | 2200 | 0.6121 | 0.8113 | 0.8477 | 0.8113 | 0.8065 | 0.8704 |
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- | 1.2154 | 8.63 | 2250 | 0.5895 | 0.8356 | 0.8671 | 0.8356 | 0.8343 | 0.8871 |
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- | 1.2154 | 8.82 | 2300 | 0.5404 | 0.8437 | 0.8756 | 0.8437 | 0.8407 | 0.8927 |
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- | 1.1306 | 9.01 | 2350 | 0.5433 | 0.8410 | 0.8657 | 0.8410 | 0.8394 | 0.8900 |
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- | 1.1306 | 9.2 | 2400 | 0.5535 | 0.8383 | 0.8645 | 0.8383 | 0.8380 | 0.8881 |
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- | 1.1306 | 9.4 | 2450 | 0.5201 | 0.8518 | 0.8850 | 0.8518 | 0.8518 | 0.8957 |
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- | 1.1306 | 9.59 | 2500 | 0.5464 | 0.8383 | 0.8680 | 0.8383 | 0.8373 | 0.8881 |
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- | 1.1306 | 9.78 | 2550 | 0.5960 | 0.8329 | 0.8586 | 0.8329 | 0.8304 | 0.8841 |
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- | 1.1306 | 9.97 | 2600 | 0.5304 | 0.8518 | 0.8790 | 0.8518 | 0.8506 | 0.8957 |
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- | 1.0743 | 10.16 | 2650 | 0.4804 | 0.8706 | 0.8937 | 0.8706 | 0.8703 | 0.9086 |
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- | 1.0743 | 10.35 | 2700 | 0.5004 | 0.8652 | 0.8908 | 0.8652 | 0.8640 | 0.9059 |
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- | 1.0743 | 10.55 | 2750 | 0.4730 | 0.8652 | 0.8921 | 0.8652 | 0.8643 | 0.9070 |
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- | 1.0743 | 10.74 | 2800 | 0.4958 | 0.8383 | 0.8663 | 0.8383 | 0.8372 | 0.8879 |
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- | 1.0743 | 10.93 | 2850 | 0.4672 | 0.8544 | 0.8814 | 0.8544 | 0.8538 | 0.8973 |
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- | 1.0274 | 11.12 | 2900 | 0.5339 | 0.8571 | 0.8807 | 0.8571 | 0.8565 | 0.9003 |
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- | 1.0274 | 11.31 | 2950 | 0.5013 | 0.8491 | 0.8698 | 0.8491 | 0.8462 | 0.8954 |
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- | 1.0274 | 11.51 | 3000 | 0.4882 | 0.8679 | 0.8904 | 0.8679 | 0.8677 | 0.9078 |
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- | 1.0274 | 11.7 | 3050 | 0.5059 | 0.8518 | 0.8837 | 0.8518 | 0.8519 | 0.8965 |
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- | 1.0274 | 11.89 | 3100 | 0.4636 | 0.8679 | 0.8864 | 0.8679 | 0.8666 | 0.9075 |
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- | 0.9585 | 12.08 | 3150 | 0.4667 | 0.8787 | 0.8955 | 0.8787 | 0.8776 | 0.9143 |
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- | 0.9585 | 12.27 | 3200 | 0.5159 | 0.8544 | 0.8734 | 0.8544 | 0.8534 | 0.8976 |
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- | 0.9585 | 12.46 | 3250 | 0.5177 | 0.8518 | 0.8748 | 0.8518 | 0.8528 | 0.8987 |
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- | 0.9585 | 12.66 | 3300 | 0.4435 | 0.8841 | 0.9040 | 0.8841 | 0.8835 | 0.9189 |
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- | 0.9585 | 12.85 | 3350 | 0.5116 | 0.8544 | 0.8851 | 0.8544 | 0.8558 | 0.8992 |
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- | 0.9352 | 13.04 | 3400 | 0.4538 | 0.8706 | 0.8888 | 0.8706 | 0.8697 | 0.9105 |
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- | 0.9352 | 13.23 | 3450 | 0.4973 | 0.8706 | 0.8944 | 0.8706 | 0.8684 | 0.9086 |
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- | 0.9352 | 13.42 | 3500 | 0.4465 | 0.8760 | 0.8937 | 0.8760 | 0.8741 | 0.9135 |
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- | 0.9352 | 13.61 | 3550 | 0.4691 | 0.8814 | 0.9042 | 0.8814 | 0.8806 | 0.9154 |
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- | 0.9352 | 13.81 | 3600 | 0.5010 | 0.8652 | 0.8916 | 0.8652 | 0.8641 | 0.9051 |
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- | 0.9352 | 14.0 | 3650 | 0.5133 | 0.8410 | 0.8728 | 0.8410 | 0.8396 | 0.8879 |
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- | 0.8941 | 14.19 | 3700 | 0.4476 | 0.8706 | 0.8961 | 0.8706 | 0.8729 | 0.9086 |
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- | 0.8941 | 14.38 | 3750 | 0.4321 | 0.8679 | 0.8915 | 0.8679 | 0.8681 | 0.9067 |
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- | 0.8941 | 14.57 | 3800 | 0.4033 | 0.8841 | 0.8991 | 0.8841 | 0.8835 | 0.9181 |
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- | 0.8941 | 14.77 | 3850 | 0.4599 | 0.8841 | 0.9052 | 0.8841 | 0.8827 | 0.9181 |
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- | 0.8941 | 14.96 | 3900 | 0.4673 | 0.8625 | 0.8883 | 0.8625 | 0.8631 | 0.9040 |
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- | 0.8574 | 15.15 | 3950 | 0.4906 | 0.8760 | 0.8993 | 0.8760 | 0.8749 | 0.9135 |
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- | 0.8574 | 15.34 | 4000 | 0.5055 | 0.8544 | 0.8836 | 0.8544 | 0.8518 | 0.8984 |
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- | 0.8574 | 15.53 | 4050 | 0.4119 | 0.8841 | 0.8985 | 0.8841 | 0.8831 | 0.9191 |
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- | 0.8574 | 15.72 | 4100 | 0.4684 | 0.8760 | 0.8989 | 0.8760 | 0.8752 | 0.9135 |
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- | 0.8574 | 15.92 | 4150 | 0.4453 | 0.8787 | 0.8999 | 0.8787 | 0.8776 | 0.9151 |
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- | 0.8344 | 16.11 | 4200 | 0.4928 | 0.8787 | 0.9000 | 0.8787 | 0.8783 | 0.9143 |
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- | 0.8344 | 16.3 | 4250 | 0.4535 | 0.8868 | 0.9067 | 0.8868 | 0.8863 | 0.9191 |
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- | 0.8344 | 16.49 | 4300 | 0.4259 | 0.8787 | 0.8986 | 0.8787 | 0.8781 | 0.9154 |
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- | 0.8344 | 16.68 | 4350 | 0.4289 | 0.8787 | 0.8970 | 0.8787 | 0.8784 | 0.9154 |
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- | 0.8344 | 16.87 | 4400 | 0.4828 | 0.8814 | 0.9013 | 0.8814 | 0.8813 | 0.9154 |
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- | 0.8066 | 17.07 | 4450 | 0.4866 | 0.8787 | 0.8969 | 0.8787 | 0.8792 | 0.9135 |
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- | 0.8066 | 17.26 | 4500 | 0.4388 | 0.8760 | 0.8934 | 0.8760 | 0.8768 | 0.9116 |
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- | 0.8066 | 17.45 | 4550 | 0.5018 | 0.8787 | 0.8993 | 0.8787 | 0.8775 | 0.9143 |
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- | 0.8066 | 17.64 | 4600 | 0.4838 | 0.8814 | 0.8981 | 0.8814 | 0.8808 | 0.9154 |
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- | 0.8066 | 17.83 | 4650 | 0.5394 | 0.8679 | 0.8893 | 0.8679 | 0.8662 | 0.9059 |
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- | 0.7757 | 18.02 | 4700 | 0.4628 | 0.8814 | 0.8964 | 0.8814 | 0.8800 | 0.9162 |
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- | 0.7757 | 18.22 | 4750 | 0.5456 | 0.8733 | 0.8907 | 0.8733 | 0.8719 | 0.9097 |
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- | 0.7757 | 18.41 | 4800 | 0.4858 | 0.8814 | 0.8970 | 0.8814 | 0.8804 | 0.9154 |
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- | 0.7757 | 18.6 | 4850 | 0.5836 | 0.8571 | 0.8776 | 0.8571 | 0.8568 | 0.8984 |
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- | 0.7757 | 18.79 | 4900 | 0.5008 | 0.8787 | 0.8985 | 0.8787 | 0.8781 | 0.9143 |
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- | 0.7757 | 18.98 | 4950 | 0.5259 | 0.8760 | 0.8950 | 0.8760 | 0.8749 | 0.9116 |
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- | 0.7595 | 19.18 | 5000 | 0.5906 | 0.8652 | 0.8869 | 0.8652 | 0.8657 | 0.9040 |
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- | 0.7595 | 19.37 | 5050 | 0.4905 | 0.8841 | 0.8993 | 0.8841 | 0.8839 | 0.9173 |
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- | 0.7595 | 19.56 | 5100 | 0.5958 | 0.8598 | 0.8804 | 0.8598 | 0.8596 | 0.9003 |
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- | 0.7595 | 19.75 | 5150 | 0.5466 | 0.8679 | 0.8924 | 0.8679 | 0.8666 | 0.9059 |
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- | 0.7595 | 19.94 | 5200 | 0.4639 | 0.8841 | 0.9008 | 0.8841 | 0.8834 | 0.9173 |
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- | 0.7257 | 20.13 | 5250 | 0.5094 | 0.8787 | 0.9015 | 0.8787 | 0.8795 | 0.9135 |
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- | 0.7257 | 20.33 | 5300 | 0.5310 | 0.8733 | 0.8973 | 0.8733 | 0.8737 | 0.9097 |
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- | 0.7257 | 20.52 | 5350 | 0.5118 | 0.8733 | 0.8925 | 0.8733 | 0.8734 | 0.9097 |
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- | 0.7257 | 20.71 | 5400 | 0.5166 | 0.8814 | 0.9017 | 0.8814 | 0.8814 | 0.9154 |
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- | 0.7257 | 20.9 | 5450 | 0.4850 | 0.8814 | 0.8984 | 0.8814 | 0.8807 | 0.9164 |
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- | 0.7185 | 21.09 | 5500 | 0.5161 | 0.8841 | 0.9018 | 0.8841 | 0.8842 | 0.9183 |
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- | 0.7185 | 21.28 | 5550 | 0.5197 | 0.8706 | 0.8904 | 0.8706 | 0.8694 | 0.9086 |
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- | 0.7185 | 21.48 | 5600 | 0.5297 | 0.8733 | 0.8921 | 0.8733 | 0.8728 | 0.9097 |
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- | 0.7185 | 21.67 | 5650 | 0.5317 | 0.8706 | 0.8913 | 0.8706 | 0.8694 | 0.9078 |
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- | 0.7185 | 21.86 | 5700 | 0.5120 | 0.8625 | 0.8809 | 0.8625 | 0.8610 | 0.9022 |
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- | 0.6968 | 22.05 | 5750 | 0.5144 | 0.8760 | 0.8960 | 0.8760 | 0.8753 | 0.9116 |
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- | 0.6968 | 22.24 | 5800 | 0.5688 | 0.8733 | 0.8911 | 0.8733 | 0.8721 | 0.9097 |
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- | 0.6968 | 22.44 | 5850 | 0.5430 | 0.8733 | 0.8916 | 0.8733 | 0.8724 | 0.9097 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5129
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  - Accuracy: 0.8706
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+ - Precision: 0.8830
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  - Recall: 0.8706
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+ - F1: 0.8687
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+ - Binary: 0.9084
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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+ | No log | 0.22 | 50 | 3.8853 | 0.0499 | 0.0125 | 0.0499 | 0.0132 | 0.3132 |
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+ | No log | 0.43 | 100 | 3.4193 | 0.0702 | 0.0103 | 0.0702 | 0.0167 | 0.3417 |
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+ | No log | 0.65 | 150 | 3.1606 | 0.1161 | 0.0528 | 0.1161 | 0.0512 | 0.3783 |
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+ | No log | 0.86 | 200 | 2.9650 | 0.1714 | 0.1093 | 0.1714 | 0.1008 | 0.4148 |
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+ | 3.6314 | 1.08 | 250 | 2.7976 | 0.1714 | 0.0947 | 0.1714 | 0.0927 | 0.4148 |
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+ | 3.6314 | 1.29 | 300 | 2.4874 | 0.2740 | 0.1723 | 0.2740 | 0.1770 | 0.4870 |
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+ | 3.6314 | 1.51 | 350 | 2.3192 | 0.3414 | 0.2741 | 0.3414 | 0.2588 | 0.5379 |
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+ | 3.6314 | 1.72 | 400 | 2.1116 | 0.4278 | 0.3772 | 0.4278 | 0.3514 | 0.5988 |
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+ | 3.6314 | 1.94 | 450 | 1.9495 | 0.4683 | 0.4712 | 0.4683 | 0.4075 | 0.6273 |
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+ | 2.6994 | 2.16 | 500 | 1.8632 | 0.4764 | 0.4337 | 0.4764 | 0.4098 | 0.6313 |
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+ | 2.6994 | 2.37 | 550 | 1.6822 | 0.5250 | 0.4922 | 0.5250 | 0.4621 | 0.6664 |
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+ | 2.6994 | 2.59 | 600 | 1.5299 | 0.5938 | 0.5590 | 0.5938 | 0.5296 | 0.7165 |
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+ | 2.6994 | 2.8 | 650 | 1.4177 | 0.6140 | 0.5885 | 0.6140 | 0.5664 | 0.7298 |
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+ | 2.1575 | 3.02 | 700 | 1.3614 | 0.6100 | 0.5558 | 0.6100 | 0.5498 | 0.7283 |
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+ | 2.1575 | 3.23 | 750 | 1.2209 | 0.6491 | 0.6650 | 0.6491 | 0.6086 | 0.7528 |
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+ | 2.1575 | 3.45 | 800 | 1.2059 | 0.6829 | 0.7281 | 0.6829 | 0.6553 | 0.7748 |
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+ | 2.1575 | 3.66 | 850 | 1.1207 | 0.7031 | 0.7301 | 0.7031 | 0.6741 | 0.7908 |
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+ | 2.1575 | 3.88 | 900 | 1.0553 | 0.7139 | 0.7368 | 0.7139 | 0.6967 | 0.7993 |
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+ | 1.8321 | 4.09 | 950 | 0.9864 | 0.7490 | 0.7412 | 0.7490 | 0.7291 | 0.8250 |
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+ | 1.8321 | 4.31 | 1000 | 0.9365 | 0.7544 | 0.7653 | 0.7544 | 0.7360 | 0.8278 |
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+ | 1.8321 | 4.53 | 1050 | 0.9050 | 0.7584 | 0.7617 | 0.7584 | 0.7438 | 0.8323 |
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+ | 1.8321 | 4.74 | 1100 | 0.8241 | 0.7760 | 0.7896 | 0.7760 | 0.7638 | 0.8424 |
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+ | 1.8321 | 4.96 | 1150 | 0.8260 | 0.7611 | 0.7712 | 0.7611 | 0.7455 | 0.8335 |
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+ | 1.6136 | 5.17 | 1200 | 0.8008 | 0.7814 | 0.8013 | 0.7814 | 0.7738 | 0.8474 |
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+ | 1.6136 | 5.39 | 1250 | 0.7588 | 0.7787 | 0.7981 | 0.7787 | 0.7694 | 0.8453 |
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+ | 1.6136 | 5.6 | 1300 | 0.7619 | 0.7868 | 0.7963 | 0.7868 | 0.7755 | 0.8520 |
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+ | 1.6136 | 5.82 | 1350 | 0.7611 | 0.7868 | 0.7972 | 0.7868 | 0.7755 | 0.8514 |
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+ | 1.4406 | 6.03 | 1400 | 0.7094 | 0.7976 | 0.8090 | 0.7976 | 0.7923 | 0.8591 |
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+ | 1.4406 | 6.25 | 1450 | 0.7133 | 0.7976 | 0.7990 | 0.7976 | 0.7873 | 0.8595 |
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+ | 1.4406 | 6.47 | 1500 | 0.7126 | 0.8016 | 0.8151 | 0.8016 | 0.7921 | 0.8618 |
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+ | 1.4406 | 6.68 | 1550 | 0.6381 | 0.8043 | 0.8242 | 0.8043 | 0.7979 | 0.8642 |
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+ | 1.4406 | 6.9 | 1600 | 0.6248 | 0.8111 | 0.8253 | 0.8111 | 0.8079 | 0.8683 |
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+ | 1.3033 | 7.11 | 1650 | 0.6333 | 0.8138 | 0.8391 | 0.8138 | 0.8125 | 0.8699 |
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+ | 1.3033 | 7.33 | 1700 | 0.6087 | 0.8232 | 0.8450 | 0.8232 | 0.8188 | 0.8775 |
96
+ | 1.3033 | 7.54 | 1750 | 0.5919 | 0.8273 | 0.8347 | 0.8273 | 0.8199 | 0.8796 |
97
+ | 1.3033 | 7.76 | 1800 | 0.5835 | 0.8232 | 0.8398 | 0.8232 | 0.8198 | 0.8779 |
98
+ | 1.3033 | 7.97 | 1850 | 0.5697 | 0.8232 | 0.8397 | 0.8232 | 0.8192 | 0.8780 |
99
+ | 1.2408 | 8.19 | 1900 | 0.6186 | 0.8111 | 0.8354 | 0.8111 | 0.8050 | 0.8694 |
100
+ | 1.2408 | 8.41 | 1950 | 0.5622 | 0.8327 | 0.8445 | 0.8327 | 0.8306 | 0.8830 |
101
+ | 1.2408 | 8.62 | 2000 | 0.5740 | 0.8205 | 0.8407 | 0.8205 | 0.8184 | 0.8756 |
102
+ | 1.2408 | 8.84 | 2050 | 0.5627 | 0.8300 | 0.8460 | 0.8300 | 0.8286 | 0.8816 |
103
+ | 1.1272 | 9.05 | 2100 | 0.5340 | 0.8381 | 0.8538 | 0.8381 | 0.8354 | 0.8873 |
104
+ | 1.1272 | 9.27 | 2150 | 0.5927 | 0.8246 | 0.8475 | 0.8246 | 0.8205 | 0.8795 |
105
+ | 1.1272 | 9.48 | 2200 | 0.5429 | 0.8300 | 0.8511 | 0.8300 | 0.8292 | 0.8812 |
106
+ | 1.1272 | 9.7 | 2250 | 0.4781 | 0.8529 | 0.8659 | 0.8529 | 0.8518 | 0.8977 |
107
+ | 1.1272 | 9.91 | 2300 | 0.5081 | 0.8448 | 0.8621 | 0.8448 | 0.8442 | 0.8930 |
108
+ | 1.0783 | 10.13 | 2350 | 0.5015 | 0.8489 | 0.8680 | 0.8489 | 0.8473 | 0.8947 |
109
+ | 1.0783 | 10.34 | 2400 | 0.5225 | 0.8421 | 0.8627 | 0.8421 | 0.8389 | 0.8906 |
110
+ | 1.0783 | 10.56 | 2450 | 0.5113 | 0.8435 | 0.8602 | 0.8435 | 0.8426 | 0.8911 |
111
+ | 1.0783 | 10.78 | 2500 | 0.5009 | 0.8556 | 0.8712 | 0.8556 | 0.8526 | 0.9005 |
112
+ | 1.0783 | 10.99 | 2550 | 0.5112 | 0.8421 | 0.8571 | 0.8421 | 0.8416 | 0.8922 |
113
+ | 1.0384 | 11.21 | 2600 | 0.4812 | 0.8543 | 0.8663 | 0.8543 | 0.8516 | 0.8996 |
114
+ | 1.0384 | 11.42 | 2650 | 0.5017 | 0.8583 | 0.8731 | 0.8583 | 0.8561 | 0.9020 |
115
+ | 1.0384 | 11.64 | 2700 | 0.4837 | 0.8489 | 0.8650 | 0.8489 | 0.8450 | 0.8958 |
116
+ | 1.0384 | 11.85 | 2750 | 0.5084 | 0.8435 | 0.8643 | 0.8435 | 0.8389 | 0.8920 |
117
+ | 1.0115 | 12.07 | 2800 | 0.4843 | 0.8583 | 0.8767 | 0.8583 | 0.8562 | 0.9024 |
118
+ | 1.0115 | 12.28 | 2850 | 0.5396 | 0.8502 | 0.8703 | 0.8502 | 0.8465 | 0.8973 |
119
+ | 1.0115 | 12.5 | 2900 | 0.5440 | 0.8435 | 0.8563 | 0.8435 | 0.8375 | 0.8916 |
120
+ | 1.0115 | 12.72 | 2950 | 0.5076 | 0.8489 | 0.8600 | 0.8489 | 0.8460 | 0.8958 |
121
+ | 1.0115 | 12.93 | 3000 | 0.5253 | 0.8435 | 0.8571 | 0.8435 | 0.8422 | 0.8915 |
122
+ | 0.9461 | 13.15 | 3050 | 0.4841 | 0.8664 | 0.8828 | 0.8664 | 0.8669 | 0.9081 |
123
+ | 0.9461 | 13.36 | 3100 | 0.4890 | 0.8637 | 0.8759 | 0.8637 | 0.8626 | 0.9062 |
124
+ | 0.9461 | 13.58 | 3150 | 0.4948 | 0.8664 | 0.8819 | 0.8664 | 0.8656 | 0.9076 |
125
+ | 0.9461 | 13.79 | 3200 | 0.4851 | 0.8596 | 0.8763 | 0.8596 | 0.8590 | 0.9028 |
126
+ | 0.9001 | 14.01 | 3250 | 0.4966 | 0.8583 | 0.8735 | 0.8583 | 0.8587 | 0.9020 |
127
+ | 0.9001 | 14.22 | 3300 | 0.5335 | 0.8543 | 0.8688 | 0.8543 | 0.8531 | 0.8985 |
128
+ | 0.9001 | 14.44 | 3350 | 0.5072 | 0.8596 | 0.8732 | 0.8596 | 0.8587 | 0.9024 |
129
+ | 0.9001 | 14.66 | 3400 | 0.4968 | 0.8664 | 0.8793 | 0.8664 | 0.8654 | 0.9076 |
130
+ | 0.9001 | 14.87 | 3450 | 0.4763 | 0.8637 | 0.8779 | 0.8637 | 0.8629 | 0.9057 |
131
+ | 0.8663 | 15.09 | 3500 | 0.5134 | 0.8704 | 0.8781 | 0.8704 | 0.8685 | 0.9104 |
132
+ | 0.8663 | 15.3 | 3550 | 0.5010 | 0.8664 | 0.8812 | 0.8664 | 0.8668 | 0.9081 |
133
+ | 0.8663 | 15.52 | 3600 | 0.5221 | 0.8556 | 0.8694 | 0.8556 | 0.8547 | 0.9000 |
134
+ | 0.8663 | 15.73 | 3650 | 0.4990 | 0.8704 | 0.8813 | 0.8704 | 0.8691 | 0.9104 |
135
+ | 0.8663 | 15.95 | 3700 | 0.5046 | 0.8610 | 0.8729 | 0.8610 | 0.8591 | 0.9032 |
136
+ | 0.8499 | 16.16 | 3750 | 0.5099 | 0.8583 | 0.8730 | 0.8583 | 0.8562 | 0.9019 |
137
+ | 0.8499 | 16.38 | 3800 | 0.4859 | 0.8677 | 0.8786 | 0.8677 | 0.8668 | 0.9085 |
138
+ | 0.8499 | 16.59 | 3850 | 0.5005 | 0.8637 | 0.8731 | 0.8637 | 0.8619 | 0.9067 |
139
+ | 0.8499 | 16.81 | 3900 | 0.5169 | 0.8596 | 0.8735 | 0.8596 | 0.8590 | 0.9023 |
140
+ | 0.8149 | 17.03 | 3950 | 0.5035 | 0.8583 | 0.8710 | 0.8583 | 0.8579 | 0.9019 |
141
+ | 0.8149 | 17.24 | 4000 | 0.5211 | 0.8570 | 0.8748 | 0.8570 | 0.8573 | 0.9009 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
142
 
143
 
144
  ### Framework versions
runs/Jun28_12-13-42_LAPTOP-1GID9RGH/events.out.tfevents.1719551623.LAPTOP-1GID9RGH.1516.2 CHANGED
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- oid sha256:f518090b4a21213b5fbeacab7295b4b5d61962d33619a03e331505fbc6d96efc
3
- size 48764
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ae4dc5976158240d48fb60702785e25e88cf5193050369c2de32a6de97d7f14
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+ size 54971
runs/Jun28_12-13-42_LAPTOP-1GID9RGH/events.out.tfevents.1719553618.LAPTOP-1GID9RGH.1516.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:cd447951559f596f427b0653a27e63ce935258e3cc9dc32bf08867ee4dada753
3
+ size 610