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hubert-classifier-aug-fold-2

Audio Classification
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  1. README.md +113 -80
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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: 0.5616
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- - Accuracy: 0.8814
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- - Precision: 0.8965
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- - Recall: 0.8814
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- - F1: 0.8795
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- - Binary: 0.9182
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  ## Model description
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@@ -60,80 +60,113 @@ 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 | 0.13 | 50 | 4.4205 | 0.0310 | 0.0078 | 0.0310 | 0.0104 | 0.2054 |
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- | No log | 0.27 | 100 | 4.3291 | 0.0445 | 0.0108 | 0.0445 | 0.0126 | 0.2987 |
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- | No log | 0.4 | 150 | 3.9426 | 0.0688 | 0.0295 | 0.0688 | 0.0221 | 0.3405 |
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- | No log | 0.54 | 200 | 3.5950 | 0.0823 | 0.0420 | 0.0823 | 0.0336 | 0.3548 |
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- | No log | 0.67 | 250 | 3.3440 | 0.1323 | 0.0736 | 0.1323 | 0.0675 | 0.3893 |
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- | No log | 0.81 | 300 | 3.0808 | 0.2105 | 0.1599 | 0.2105 | 0.1353 | 0.4457 |
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- | No log | 0.94 | 350 | 2.8041 | 0.3212 | 0.2060 | 0.3212 | 0.2180 | 0.5235 |
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- | 3.8037 | 1.08 | 400 | 2.4494 | 0.3603 | 0.2731 | 0.3603 | 0.2746 | 0.5495 |
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- | 3.8037 | 1.21 | 450 | 2.1029 | 0.4588 | 0.3806 | 0.4588 | 0.3860 | 0.6201 |
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- | 3.8037 | 1.35 | 500 | 1.8222 | 0.5317 | 0.5092 | 0.5317 | 0.4811 | 0.6730 |
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- | 3.8037 | 1.48 | 550 | 1.6391 | 0.5533 | 0.5401 | 0.5533 | 0.5040 | 0.6862 |
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- | 3.8037 | 1.62 | 600 | 1.3955 | 0.6464 | 0.6432 | 0.6464 | 0.6129 | 0.7538 |
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- | 3.8037 | 1.75 | 650 | 1.3006 | 0.6653 | 0.6734 | 0.6653 | 0.6399 | 0.7645 |
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- | 3.8037 | 1.89 | 700 | 1.2028 | 0.6721 | 0.6946 | 0.6721 | 0.6492 | 0.7707 |
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- | 1.9419 | 2.02 | 750 | 1.0903 | 0.6910 | 0.6900 | 0.6910 | 0.6661 | 0.7846 |
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- | 1.9419 | 2.16 | 800 | 1.1952 | 0.7099 | 0.7198 | 0.7099 | 0.6923 | 0.7962 |
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- | 1.9419 | 2.29 | 850 | 0.9361 | 0.7341 | 0.7547 | 0.7341 | 0.7222 | 0.8146 |
80
- | 1.9419 | 2.43 | 900 | 0.8789 | 0.7490 | 0.7725 | 0.7490 | 0.7348 | 0.8252 |
81
- | 1.9419 | 2.56 | 950 | 0.8519 | 0.7787 | 0.8015 | 0.7787 | 0.7714 | 0.8453 |
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- | 1.9419 | 2.7 | 1000 | 0.8211 | 0.7692 | 0.7978 | 0.7692 | 0.7610 | 0.8394 |
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- | 1.9419 | 2.83 | 1050 | 0.7343 | 0.7922 | 0.8128 | 0.7922 | 0.7849 | 0.8563 |
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- | 1.9419 | 2.96 | 1100 | 0.8199 | 0.7760 | 0.8004 | 0.7760 | 0.7703 | 0.8451 |
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- | 1.0676 | 3.1 | 1150 | 0.6783 | 0.8016 | 0.8161 | 0.8016 | 0.7956 | 0.8610 |
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- | 1.0676 | 3.23 | 1200 | 0.7483 | 0.8043 | 0.8285 | 0.8043 | 0.7991 | 0.8638 |
87
- | 1.0676 | 3.37 | 1250 | 0.8469 | 0.7881 | 0.8090 | 0.7881 | 0.7795 | 0.8514 |
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- | 1.0676 | 3.5 | 1300 | 0.7466 | 0.8003 | 0.8228 | 0.8003 | 0.7963 | 0.8603 |
89
- | 1.0676 | 3.64 | 1350 | 0.7441 | 0.8084 | 0.8375 | 0.8084 | 0.8059 | 0.8656 |
90
- | 1.0676 | 3.77 | 1400 | 0.6885 | 0.8124 | 0.8380 | 0.8124 | 0.8082 | 0.8695 |
91
- | 1.0676 | 3.91 | 1450 | 0.8319 | 0.7787 | 0.8045 | 0.7787 | 0.7729 | 0.8459 |
92
- | 0.75 | 4.04 | 1500 | 0.8044 | 0.8057 | 0.8320 | 0.8057 | 0.8017 | 0.8648 |
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- | 0.75 | 4.18 | 1550 | 0.8120 | 0.8016 | 0.8230 | 0.8016 | 0.7964 | 0.8618 |
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- | 0.75 | 4.31 | 1600 | 0.7503 | 0.8016 | 0.8166 | 0.8016 | 0.7965 | 0.8629 |
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- | 0.75 | 4.45 | 1650 | 0.7646 | 0.8097 | 0.8269 | 0.8097 | 0.8025 | 0.8682 |
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- | 0.75 | 4.58 | 1700 | 0.7328 | 0.8246 | 0.8442 | 0.8246 | 0.8189 | 0.8784 |
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- | 0.75 | 4.72 | 1750 | 0.7019 | 0.8300 | 0.8479 | 0.8300 | 0.8270 | 0.8831 |
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- | 0.75 | 4.85 | 1800 | 0.6364 | 0.8408 | 0.8558 | 0.8408 | 0.8379 | 0.8885 |
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- | 0.75 | 4.99 | 1850 | 0.6562 | 0.8259 | 0.8461 | 0.8259 | 0.8214 | 0.8787 |
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- | 0.5856 | 5.12 | 1900 | 0.6412 | 0.8340 | 0.8500 | 0.8340 | 0.8304 | 0.8843 |
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- | 0.5856 | 5.26 | 1950 | 0.6739 | 0.8340 | 0.8548 | 0.8340 | 0.8333 | 0.8843 |
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- | 0.5856 | 5.39 | 2000 | 0.7564 | 0.8097 | 0.8367 | 0.8097 | 0.8090 | 0.8673 |
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- | 0.5856 | 5.53 | 2050 | 0.6495 | 0.8286 | 0.8473 | 0.8286 | 0.8264 | 0.8807 |
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- | 0.5856 | 5.66 | 2100 | 0.7090 | 0.8165 | 0.8328 | 0.8165 | 0.8159 | 0.8717 |
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- | 0.5856 | 5.8 | 2150 | 0.7712 | 0.8435 | 0.8654 | 0.8435 | 0.8419 | 0.8897 |
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- | 0.5856 | 5.93 | 2200 | 0.7484 | 0.8273 | 0.8467 | 0.8273 | 0.8230 | 0.8802 |
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- | 0.4896 | 6.06 | 2250 | 0.7999 | 0.8178 | 0.8344 | 0.8178 | 0.8163 | 0.8725 |
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- | 0.4896 | 6.2 | 2300 | 0.7098 | 0.8300 | 0.8501 | 0.8300 | 0.8280 | 0.8821 |
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- | 0.4896 | 6.33 | 2350 | 0.8158 | 0.8259 | 0.8434 | 0.8259 | 0.8226 | 0.8783 |
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- | 0.4896 | 6.47 | 2400 | 0.6873 | 0.8381 | 0.8592 | 0.8381 | 0.8367 | 0.8868 |
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- | 0.4896 | 6.6 | 2450 | 0.7824 | 0.8178 | 0.8394 | 0.8178 | 0.8156 | 0.8730 |
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- | 0.4896 | 6.74 | 2500 | 0.6733 | 0.8448 | 0.8631 | 0.8448 | 0.8444 | 0.8915 |
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- | 0.4896 | 6.87 | 2550 | 0.7658 | 0.8381 | 0.8577 | 0.8381 | 0.8347 | 0.8862 |
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- | 0.4288 | 7.01 | 2600 | 0.7045 | 0.8367 | 0.8536 | 0.8367 | 0.8343 | 0.8853 |
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- | 0.4288 | 7.14 | 2650 | 0.6885 | 0.8570 | 0.8748 | 0.8570 | 0.8545 | 0.8995 |
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- | 0.4288 | 7.28 | 2700 | 0.7015 | 0.8475 | 0.8632 | 0.8475 | 0.8462 | 0.8934 |
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- | 0.4288 | 7.41 | 2750 | 0.7385 | 0.8381 | 0.8539 | 0.8381 | 0.8363 | 0.8870 |
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- | 0.4288 | 7.55 | 2800 | 0.7196 | 0.8475 | 0.8597 | 0.8475 | 0.8473 | 0.8930 |
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- | 0.4288 | 7.68 | 2850 | 0.7285 | 0.8421 | 0.8558 | 0.8421 | 0.8399 | 0.8887 |
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- | 0.4288 | 7.82 | 2900 | 0.7507 | 0.8367 | 0.8513 | 0.8367 | 0.8346 | 0.8849 |
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- | 0.4288 | 7.95 | 2950 | 0.8049 | 0.8259 | 0.8522 | 0.8259 | 0.8225 | 0.8779 |
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- | 0.3797 | 8.09 | 3000 | 0.7337 | 0.8529 | 0.8652 | 0.8529 | 0.8494 | 0.8978 |
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- | 0.3797 | 8.22 | 3050 | 0.7414 | 0.8475 | 0.8628 | 0.8475 | 0.8451 | 0.8924 |
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- | 0.3797 | 8.36 | 3100 | 0.8024 | 0.8394 | 0.8592 | 0.8394 | 0.8364 | 0.8877 |
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- | 0.3797 | 8.49 | 3150 | 0.7642 | 0.8435 | 0.8635 | 0.8435 | 0.8405 | 0.8904 |
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- | 0.3797 | 8.63 | 3200 | 0.7560 | 0.8448 | 0.8641 | 0.8448 | 0.8415 | 0.8906 |
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- | 0.3797 | 8.76 | 3250 | 0.7889 | 0.8408 | 0.8640 | 0.8408 | 0.8373 | 0.8887 |
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- | 0.3797 | 8.89 | 3300 | 0.7479 | 0.8448 | 0.8624 | 0.8448 | 0.8436 | 0.8915 |
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- | 0.3486 | 9.03 | 3350 | 0.7430 | 0.8543 | 0.8727 | 0.8543 | 0.8529 | 0.8977 |
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- | 0.3486 | 9.16 | 3400 | 0.7325 | 0.8394 | 0.8549 | 0.8394 | 0.8367 | 0.8877 |
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- | 0.3486 | 9.3 | 3450 | 0.7623 | 0.8489 | 0.8641 | 0.8489 | 0.8441 | 0.8949 |
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- | 0.3486 | 9.43 | 3500 | 0.7893 | 0.8462 | 0.8645 | 0.8462 | 0.8425 | 0.8924 |
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- | 0.3486 | 9.57 | 3550 | 0.8721 | 0.8273 | 0.8504 | 0.8273 | 0.8239 | 0.8808 |
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- | 0.3486 | 9.7 | 3600 | 0.7886 | 0.8489 | 0.8699 | 0.8489 | 0.8454 | 0.8939 |
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- | 0.3486 | 9.84 | 3650 | 0.7844 | 0.8502 | 0.8692 | 0.8502 | 0.8469 | 0.8953 |
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- | 0.3486 | 9.97 | 3700 | 0.9039 | 0.8232 | 0.8471 | 0.8232 | 0.8179 | 0.8769 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.7155
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+ - Accuracy: 0.8625
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+ - Precision: 0.8774
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+ - Recall: 0.8625
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+ - F1: 0.8616
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+ - Binary: 0.9049
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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 | 0.24 | 50 | 4.4213 | 0.0142 | 0.0068 | 0.0142 | 0.0043 | 0.1424 |
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+ | No log | 0.48 | 100 | 4.3075 | 0.0442 | 0.0196 | 0.0442 | 0.0177 | 0.3070 |
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+ | No log | 0.72 | 150 | 4.0138 | 0.0502 | 0.0284 | 0.0502 | 0.0150 | 0.3229 |
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+ | No log | 0.96 | 200 | 3.7089 | 0.1049 | 0.0547 | 0.1049 | 0.0490 | 0.3679 |
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+ | 4.2506 | 1.2 | 250 | 3.4627 | 0.1498 | 0.0995 | 0.1498 | 0.0882 | 0.3998 |
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+ | 4.2506 | 1.44 | 300 | 3.2210 | 0.1753 | 0.0964 | 0.1753 | 0.0970 | 0.4209 |
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+ | 4.2506 | 1.68 | 350 | 2.9579 | 0.2412 | 0.1495 | 0.2412 | 0.1554 | 0.4661 |
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+ | 4.2506 | 1.92 | 400 | 2.6469 | 0.2869 | 0.2258 | 0.2869 | 0.1944 | 0.5003 |
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+ | 3.3165 | 2.16 | 450 | 2.2886 | 0.4097 | 0.3315 | 0.4097 | 0.3156 | 0.5854 |
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+ | 3.3165 | 2.4 | 500 | 2.0450 | 0.4757 | 0.4368 | 0.4757 | 0.4139 | 0.6314 |
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+ | 3.3165 | 2.63 | 550 | 1.7683 | 0.5453 | 0.5445 | 0.5453 | 0.4891 | 0.6812 |
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+ | 3.3165 | 2.87 | 600 | 1.6279 | 0.6090 | 0.6005 | 0.6090 | 0.5677 | 0.7214 |
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+ | 2.2876 | 3.11 | 650 | 1.3926 | 0.6404 | 0.6494 | 0.6404 | 0.6015 | 0.7466 |
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+ | 2.2876 | 3.35 | 700 | 1.2807 | 0.6689 | 0.6921 | 0.6689 | 0.6386 | 0.7679 |
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+ | 2.2876 | 3.59 | 750 | 1.0819 | 0.7161 | 0.7222 | 0.7161 | 0.6956 | 0.8023 |
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+ | 2.2876 | 3.83 | 800 | 1.0035 | 0.7326 | 0.7524 | 0.7326 | 0.7131 | 0.8132 |
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+ | 1.6056 | 4.07 | 850 | 0.9128 | 0.7648 | 0.7692 | 0.7648 | 0.7466 | 0.8362 |
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+ | 1.6056 | 4.31 | 900 | 0.8266 | 0.7910 | 0.7986 | 0.7910 | 0.7817 | 0.8542 |
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+ | 1.6056 | 4.55 | 950 | 0.7800 | 0.7955 | 0.8165 | 0.7955 | 0.7839 | 0.8587 |
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+ | 1.6056 | 4.79 | 1000 | 0.8136 | 0.7873 | 0.8078 | 0.7873 | 0.7747 | 0.8520 |
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+ | 1.2478 | 5.03 | 1050 | 0.8057 | 0.7783 | 0.7988 | 0.7783 | 0.7707 | 0.8451 |
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+ | 1.2478 | 5.27 | 1100 | 0.6884 | 0.8082 | 0.8287 | 0.8082 | 0.8051 | 0.8658 |
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+ | 1.2478 | 5.51 | 1150 | 0.6515 | 0.8217 | 0.8312 | 0.8217 | 0.8173 | 0.8766 |
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+ | 1.2478 | 5.75 | 1200 | 0.7116 | 0.8120 | 0.8295 | 0.8120 | 0.8047 | 0.8694 |
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+ | 1.2478 | 5.99 | 1250 | 0.6343 | 0.8360 | 0.8492 | 0.8360 | 0.8337 | 0.8856 |
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+ | 1.0252 | 6.23 | 1300 | 0.6608 | 0.8060 | 0.8252 | 0.8060 | 0.8055 | 0.8654 |
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+ | 1.0252 | 6.47 | 1350 | 0.6766 | 0.8097 | 0.8265 | 0.8097 | 0.8068 | 0.8667 |
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+ | 1.0252 | 6.71 | 1400 | 0.6744 | 0.8135 | 0.8298 | 0.8135 | 0.8108 | 0.8697 |
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+ | 1.0252 | 6.95 | 1450 | 0.6163 | 0.8404 | 0.8539 | 0.8404 | 0.8391 | 0.8902 |
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+ | 0.8918 | 7.19 | 1500 | 0.5671 | 0.8524 | 0.8627 | 0.8524 | 0.8517 | 0.8980 |
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+ | 0.8918 | 7.43 | 1550 | 0.5416 | 0.8562 | 0.8689 | 0.8562 | 0.8546 | 0.9006 |
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+ | 0.8918 | 7.66 | 1600 | 0.5710 | 0.8554 | 0.8648 | 0.8554 | 0.8534 | 0.8990 |
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+ | 0.8918 | 7.9 | 1650 | 0.5341 | 0.8524 | 0.8649 | 0.8524 | 0.8508 | 0.8982 |
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+ | 0.7857 | 8.14 | 1700 | 0.5764 | 0.8449 | 0.8554 | 0.8449 | 0.8429 | 0.8919 |
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+ | 0.7857 | 8.38 | 1750 | 0.5792 | 0.8562 | 0.8646 | 0.8562 | 0.8544 | 0.8997 |
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+ | 0.7857 | 8.62 | 1800 | 0.5455 | 0.8599 | 0.8689 | 0.8599 | 0.8566 | 0.9030 |
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+ | 0.7857 | 8.86 | 1850 | 0.5837 | 0.8547 | 0.8655 | 0.8547 | 0.8521 | 0.8993 |
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+ | 0.7152 | 9.1 | 1900 | 0.6607 | 0.8472 | 0.8592 | 0.8472 | 0.8459 | 0.8948 |
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+ | 0.7152 | 9.34 | 1950 | 0.6106 | 0.8547 | 0.8648 | 0.8547 | 0.8538 | 0.8994 |
102
+ | 0.7152 | 9.58 | 2000 | 0.5548 | 0.8659 | 0.8762 | 0.8659 | 0.8648 | 0.9064 |
103
+ | 0.7152 | 9.82 | 2050 | 0.6189 | 0.8532 | 0.8635 | 0.8532 | 0.8514 | 0.8990 |
104
+ | 0.6356 | 10.06 | 2100 | 0.5869 | 0.8614 | 0.8718 | 0.8614 | 0.8601 | 0.9037 |
105
+ | 0.6356 | 10.3 | 2150 | 0.5585 | 0.8622 | 0.8707 | 0.8622 | 0.8603 | 0.9049 |
106
+ | 0.6356 | 10.54 | 2200 | 0.5857 | 0.8659 | 0.8781 | 0.8659 | 0.8642 | 0.9078 |
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+ | 0.6356 | 10.78 | 2250 | 0.5226 | 0.8704 | 0.8806 | 0.8704 | 0.8699 | 0.9103 |
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+ | 0.6081 | 11.02 | 2300 | 0.5549 | 0.8712 | 0.8849 | 0.8712 | 0.8703 | 0.9108 |
109
+ | 0.6081 | 11.26 | 2350 | 0.5454 | 0.8712 | 0.8829 | 0.8712 | 0.8707 | 0.9112 |
110
+ | 0.6081 | 11.5 | 2400 | 0.5374 | 0.8659 | 0.8737 | 0.8659 | 0.8648 | 0.9085 |
111
+ | 0.6081 | 11.74 | 2450 | 0.5789 | 0.8584 | 0.8742 | 0.8584 | 0.8580 | 0.9020 |
112
+ | 0.6081 | 11.98 | 2500 | 0.5650 | 0.8659 | 0.8779 | 0.8659 | 0.8653 | 0.9067 |
113
+ | 0.5506 | 12.22 | 2550 | 0.5908 | 0.8652 | 0.8750 | 0.8652 | 0.8651 | 0.9057 |
114
+ | 0.5506 | 12.46 | 2600 | 0.5970 | 0.8757 | 0.8809 | 0.8757 | 0.8749 | 0.9133 |
115
+ | 0.5506 | 12.69 | 2650 | 0.5703 | 0.8727 | 0.8811 | 0.8727 | 0.8726 | 0.9117 |
116
+ | 0.5506 | 12.93 | 2700 | 0.6146 | 0.8614 | 0.8716 | 0.8614 | 0.8607 | 0.9044 |
117
+ | 0.529 | 13.17 | 2750 | 0.5766 | 0.8742 | 0.8850 | 0.8742 | 0.8732 | 0.9124 |
118
+ | 0.529 | 13.41 | 2800 | 0.5620 | 0.8682 | 0.8778 | 0.8682 | 0.8670 | 0.9091 |
119
+ | 0.529 | 13.65 | 2850 | 0.5397 | 0.8846 | 0.8928 | 0.8846 | 0.8844 | 0.9211 |
120
+ | 0.529 | 13.89 | 2900 | 0.5858 | 0.8674 | 0.8779 | 0.8674 | 0.8671 | 0.9072 |
121
+ | 0.4938 | 14.13 | 2950 | 0.6406 | 0.8674 | 0.8770 | 0.8674 | 0.8669 | 0.9068 |
122
+ | 0.4938 | 14.37 | 3000 | 0.6754 | 0.8599 | 0.8696 | 0.8599 | 0.8583 | 0.9027 |
123
+ | 0.4938 | 14.61 | 3050 | 0.6439 | 0.8637 | 0.8734 | 0.8637 | 0.8623 | 0.9053 |
124
+ | 0.4938 | 14.85 | 3100 | 0.6580 | 0.8674 | 0.8781 | 0.8674 | 0.8661 | 0.9075 |
125
+ | 0.4645 | 15.09 | 3150 | 0.6317 | 0.8697 | 0.8783 | 0.8697 | 0.8690 | 0.9096 |
126
+ | 0.4645 | 15.33 | 3200 | 0.5905 | 0.8772 | 0.8865 | 0.8772 | 0.8764 | 0.9157 |
127
+ | 0.4645 | 15.57 | 3250 | 0.6268 | 0.8764 | 0.8847 | 0.8764 | 0.8751 | 0.9145 |
128
+ | 0.4645 | 15.81 | 3300 | 0.6298 | 0.8727 | 0.8808 | 0.8727 | 0.8719 | 0.9112 |
129
+ | 0.4467 | 16.05 | 3350 | 0.6039 | 0.8749 | 0.8828 | 0.8749 | 0.8736 | 0.9127 |
130
+ | 0.4467 | 16.29 | 3400 | 0.5955 | 0.8831 | 0.8890 | 0.8831 | 0.8823 | 0.9194 |
131
+ | 0.4467 | 16.53 | 3450 | 0.5954 | 0.8772 | 0.8865 | 0.8772 | 0.8761 | 0.9146 |
132
+ | 0.4467 | 16.77 | 3500 | 0.6088 | 0.8779 | 0.8857 | 0.8779 | 0.8773 | 0.9152 |
133
+ | 0.4269 | 17.01 | 3550 | 0.6572 | 0.8757 | 0.8830 | 0.8757 | 0.8748 | 0.9139 |
134
+ | 0.4269 | 17.25 | 3600 | 0.6490 | 0.8644 | 0.8730 | 0.8644 | 0.8626 | 0.9058 |
135
+ | 0.4269 | 17.49 | 3650 | 0.6591 | 0.8712 | 0.8794 | 0.8712 | 0.8696 | 0.9104 |
136
+ | 0.4269 | 17.72 | 3700 | 0.6369 | 0.8742 | 0.8854 | 0.8742 | 0.8726 | 0.9125 |
137
+ | 0.4269 | 17.96 | 3750 | 0.6000 | 0.8869 | 0.8922 | 0.8869 | 0.8863 | 0.9211 |
138
+ | 0.4099 | 18.2 | 3800 | 0.6395 | 0.8682 | 0.8763 | 0.8682 | 0.8665 | 0.9076 |
139
+ | 0.4099 | 18.44 | 3850 | 0.6416 | 0.8734 | 0.8795 | 0.8734 | 0.8727 | 0.9118 |
140
+ | 0.4099 | 18.68 | 3900 | 0.5822 | 0.8794 | 0.8855 | 0.8794 | 0.8785 | 0.9165 |
141
+ | 0.4099 | 18.92 | 3950 | 0.6365 | 0.8816 | 0.8885 | 0.8816 | 0.8806 | 0.9178 |
142
+ | 0.3945 | 19.16 | 4000 | 0.6389 | 0.8801 | 0.8864 | 0.8801 | 0.8791 | 0.9169 |
143
+ | 0.3945 | 19.4 | 4050 | 0.5901 | 0.8846 | 0.8908 | 0.8846 | 0.8843 | 0.9203 |
144
+ | 0.3945 | 19.64 | 4100 | 0.6197 | 0.8824 | 0.8879 | 0.8824 | 0.8816 | 0.9193 |
145
+ | 0.3945 | 19.88 | 4150 | 0.6365 | 0.8809 | 0.8875 | 0.8809 | 0.8798 | 0.9177 |
146
+ | 0.371 | 20.12 | 4200 | 0.6293 | 0.8831 | 0.8898 | 0.8831 | 0.8822 | 0.9190 |
147
+ | 0.371 | 20.36 | 4250 | 0.6753 | 0.8742 | 0.8815 | 0.8742 | 0.8732 | 0.9127 |
148
+ | 0.371 | 20.6 | 4300 | 0.6299 | 0.8757 | 0.8831 | 0.8757 | 0.8754 | 0.9140 |
149
+ | 0.371 | 20.84 | 4350 | 0.6034 | 0.8869 | 0.8950 | 0.8869 | 0.8863 | 0.9216 |
150
+ | 0.3772 | 21.08 | 4400 | 0.5806 | 0.8959 | 0.9025 | 0.8959 | 0.8955 | 0.9276 |
151
+ | 0.3772 | 21.32 | 4450 | 0.5994 | 0.8899 | 0.8952 | 0.8899 | 0.8890 | 0.9237 |
152
+ | 0.3772 | 21.56 | 4500 | 0.6378 | 0.8824 | 0.8895 | 0.8824 | 0.8819 | 0.9181 |
153
+ | 0.3772 | 21.8 | 4550 | 0.6267 | 0.8816 | 0.8869 | 0.8816 | 0.8808 | 0.9182 |
154
+ | 0.3512 | 22.04 | 4600 | 0.6104 | 0.8816 | 0.8878 | 0.8816 | 0.8804 | 0.9185 |
155
+ | 0.3512 | 22.28 | 4650 | 0.6146 | 0.8854 | 0.8907 | 0.8854 | 0.8845 | 0.9209 |
156
+ | 0.3512 | 22.51 | 4700 | 0.6408 | 0.8869 | 0.8944 | 0.8869 | 0.8866 | 0.9213 |
157
+ | 0.3512 | 22.75 | 4750 | 0.6246 | 0.8839 | 0.8906 | 0.8839 | 0.8833 | 0.9196 |
158
+ | 0.3512 | 22.99 | 4800 | 0.5967 | 0.8846 | 0.8911 | 0.8846 | 0.8837 | 0.9199 |
159
+ | 0.3339 | 23.23 | 4850 | 0.6727 | 0.8801 | 0.8867 | 0.8801 | 0.8795 | 0.9165 |
160
+ | 0.3339 | 23.47 | 4900 | 0.6122 | 0.8839 | 0.8905 | 0.8839 | 0.8833 | 0.9187 |
161
+ | 0.3339 | 23.71 | 4950 | 0.6191 | 0.8869 | 0.8932 | 0.8869 | 0.8860 | 0.9211 |
162
+ | 0.3339 | 23.95 | 5000 | 0.6397 | 0.8906 | 0.8974 | 0.8906 | 0.8898 | 0.9240 |
163
+ | 0.3172 | 24.19 | 5050 | 0.6519 | 0.8824 | 0.8905 | 0.8824 | 0.8821 | 0.9177 |
164
+ | 0.3172 | 24.43 | 5100 | 0.6141 | 0.8884 | 0.8948 | 0.8884 | 0.8877 | 0.9224 |
165
+ | 0.3172 | 24.67 | 5150 | 0.6530 | 0.8846 | 0.8912 | 0.8846 | 0.8836 | 0.9200 |
166
+ | 0.3172 | 24.91 | 5200 | 0.6152 | 0.8884 | 0.8938 | 0.8884 | 0.8875 | 0.9226 |
167
+ | 0.3049 | 25.15 | 5250 | 0.6550 | 0.8846 | 0.8920 | 0.8846 | 0.8833 | 0.9200 |
168
+ | 0.3049 | 25.39 | 5300 | 0.6510 | 0.8876 | 0.8938 | 0.8876 | 0.8867 | 0.9221 |
169
+ | 0.3049 | 25.63 | 5350 | 0.6402 | 0.8816 | 0.8883 | 0.8816 | 0.8812 | 0.9182 |
170
 
171
 
172
  ### Framework versions
runs/Jul26_01-07-58_LAPTOP-1GID9RGH/events.out.tfevents.1721930881.LAPTOP-1GID9RGH.7328.0 CHANGED
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- oid sha256:5c75567ddb253b8edd54b63df0a35b72299159557b549bded916c773a70257d5
3
- size 66114
 
1
  version https://git-lfs.github.com/spec/v1
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+ oid sha256:9cbfc18548f5f7f09c40eab73de42b722bbc8755fca5a036958261c9f1371a79
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+ size 70755
runs/Jul26_01-07-58_LAPTOP-1GID9RGH/events.out.tfevents.1721934111.LAPTOP-1GID9RGH.7328.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:04eee72d72e32d1003f2af94c2ca7e8800cfcd4c8f18b89992829230d0ce4e90
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+ size 610