Instructions to use Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain", dtype="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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- Macro F1: 0.
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
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|:-------------:|:--------:|:-----:|:---------------:|:--------:|:--------:|
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| 0.0122 | 181.0006 | 24522 | 61.6259 | 0.9431 | 0.8575 |
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| 0.0027 | 188.0006 | 25460 | 113.7242 | 0.9447 | 0.8580 |
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| 0.0101 | 197.0005 | 26666 | 64.7590 | 0.9423 | 0.8537 |
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| 0.0047 | 198.0005 | 26800 | 76.7934 | 0.9438 | 0.8561 |
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| 0.0061 | 199.0005 | 26934 | 111.6333 | 0.9456 | 0.8600 |
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| 0.0022 | 200.0005 | 27068 | 112.1581 | 0.9463 | 0.8606 |
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| 0.0021 | 201.0005 | 27202 | 118.7969 | 0.9459 | 0.8615 |
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| 0.0019 | 202.0005 | 27336 | 140.0457 | 0.9459 | 0.8619 |
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| 0.0019 | 203.0005 | 27470 | 142.6103 | 0.9454 | 0.8586 |
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| 0.0018 | 204.0005 | 27604 | 123.0696 | 0.9457 | 0.8601 |
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| 0.0024 | 205.0005 | 27738 | 126.1363 | 0.9452 | 0.8604 |
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| 0.0018 | 206.0005 | 27872 | 136.7932 | 0.9456 | 0.8611 |
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| 0.0022 | 207.0005 | 28006 | 149.8911 | 0.9455 | 0.8609 |
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| 0.003 | 208.0004 | 28140 | 121.8294 | 0.9464 | 0.8629 |
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| 0.0019 | 209.0004 | 28274 | 161.4209 | 0.9423 | 0.8576 |
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| 0.0067 | 210.0004 | 28408 | 99.4327 | 0.9436 | 0.8539 |
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| 0.0072 | 211.0004 | 28542 | 59.1547 | 0.9428 | 0.8551 |
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| 0.0114 | 213.0004 | 28810 | 62.4940 | 0.9401 | 0.8570 |
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| 0.0081 | 214.0004 | 28944 | 94.4939 | 0.9461 | 0.8633 |
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| 0.0043 | 215.0004 | 29078 | 106.9479 | 0.9440 | 0.8613 |
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| 0.0088 | 216.0004 | 29212 | 101.4965 | 0.9417 | 0.8572 |
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| 0.0078 | 217.0004 | 29346 | 89.0208 | 0.9424 | 0.8598 |
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| 0.0034 | 218.0004 | 29480 | 106.2097 | 0.9309 | 0.8513 |
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| 0.0048 | 219.0004 | 29614 | 95.6232 | 0.9442 | 0.8600 |
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| 0.0041 | 220.0004 | 29748 | 99.3024 | 0.9459 | 0.8620 |
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| 0.0125 | 221.0003 | 29882 | 110.5404 | 0.9446 | 0.8618 |
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| 0.0058 | 222.0003 | 30016 | 99.5873 | 0.9450 | 0.8624 |
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| 0.0059 | 223.0003 | 30150 | 83.6751 | 0.9458 | 0.8622 |
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| 0.0073 | 224.0003 | 30284 | 97.4001 | 0.9446 | 0.8595 |
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| 0.0028 | 225.0003 | 30418 | 123.9756 | 0.9465 | 0.8652 |
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| 0.0029 | 226.0003 | 30552 | 126.4784 | 0.9476 | 0.8647 |
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| 0.0016 | 227.0003 | 30686 | 152.3572 | 0.9483 | 0.8649 |
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| 0.0012 | 228.0003 | 30820 | 150.0690 | 0.9485 | 0.8664 |
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| 0.0011 | 229.0003 | 30954 | 169.9456 | 0.9489 | 0.8668 |
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| 0.0029 | 230.0003 | 31088 | 175.4617 | 0.9472 | 0.8621 |
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| 0.0046 | 231.0003 | 31222 | 124.6474 | 0.9476 | 0.8597 |
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| 0.0046 | 232.0003 | 31356 | 152.9940 | 0.9478 | 0.8631 |
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| 0.0035 | 233.0003 | 31490 | 143.6268 | 0.9432 | 0.8592 |
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| 0.002 | 234.0003 | 31624 | 154.0631 | 0.9467 | 0.8616 |
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| 0.0028 | 235.0002 | 31758 | 178.3546 | 0.9466 | 0.8608 |
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| 0.0023 | 236.0002 | 31892 | 131.7354 | 0.9445 | 0.8589 |
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| 0.0025 | 237.0002 | 32026 | 166.9045 | 0.9448 | 0.8620 |
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| 0.0018 | 238.0002 | 32160 | 156.9926 | 0.9475 | 0.8658 |
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| 0.0014 | 239.0002 | 32294 | 159.5325 | 0.9474 | 0.8667 |
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| 0.0014 | 240.0002 | 32428 | 166.3478 | 0.9473 | 0.8649 |
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| 0.0014 | 241.0002 | 32562 | 163.3651 | 0.9476 | 0.8655 |
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| 0.0011 | 242.0002 | 32696 | 178.5182 | 0.9487 | 0.8673 |
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| 0.0045 | 243.0002 | 32830 | 109.6939 | 0.9435 | 0.8564 |
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| 0.0195 | 244.0002 | 32964 | 35.0492 | 0.9392 | 0.8523 |
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| 0.0072 | 245.0002 | 33098 | 48.3300 | 0.9398 | 0.8578 |
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| 0.0253 | 246.0002 | 33232 | 83.0843 | 0.9432 | 0.8586 |
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| 0.003 | 247.0002 | 33366 | 114.3899 | 0.9470 | 0.8665 |
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| 0.0015 | 248.0001 | 33500 | 122.8450 | 0.9459 | 0.8649 |
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| 0.0019 | 249.0001 | 33634 | 127.4949 | 0.9473 | 0.8665 |
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| 0.0016 | 250.0001 | 33768 | 150.6241 | 0.9479 | 0.8683 |
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| 0.0029 | 251.0001 | 33902 | 146.5055 | 0.9461 | 0.8633 |
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| 0.0021 | 252.0001 | 34036 | 176.6820 | 0.9479 | 0.8677 |
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| 0.0026 | 253.0001 | 34170 | 157.4431 | 0.9454 | 0.8631 |
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| 0.0015 | 254.0001 | 34304 | 148.2496 | 0.9477 | 0.8692 |
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| 0.001 | 255.0001 | 34438 | 162.3797 | 0.9471 | 0.8679 |
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| 0.001 | 256.0001 | 34572 | 167.5486 | 0.9476 | 0.8688 |
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| 0.0009 | 257.0001 | 34706 | 170.3808 | 0.9475 | 0.8697 |
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| 0.0008 | 258.0001 | 34840 | 164.4388 | 0.9478 | 0.8698 |
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| 0.0009 | 259.0001 | 34974 | 171.8049 | 0.9474 | 0.8677 |
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| 0.0011 | 260.0001 | 35108 | 176.4889 | 0.9463 | 0.8646 |
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| 0.0009 | 261.0001 | 35242 | 194.9199 | 0.9458 | 0.8643 |
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| 0.0029 | 262.0000 | 35376 | 199.6935 | 0.9437 | 0.8592 |
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| 0.0124 | 263.0000 | 35510 | 104.5047 | 0.9395 | 0.8590 |
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| 0.0082 | 264.0000 | 35644 | 88.0923 | 0.9431 | 0.8591 |
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| 0.0058 | 265.0000 | 35778 | 63.9346 | 0.9447 | 0.8579 |
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| 0.005 | 266.0000 | 35912 | 105.4345 | 0.9451 | 0.8642 |
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| 0.0088 | 267.0000 | 36046 | 50.2108 | 0.9388 | 0.8601 |
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| 0.0134 | 267.0010 | 36180 | 72.4809 | 0.9443 | 0.8655 |
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| 0.004 | 268.0010 | 36314 | 108.3067 | 0.9469 | 0.8698 |
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| 0.0087 | 269.0010 | 36448 | 97.8624 | 0.9443 | 0.8620 |
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| 0.0047 | 270.0010 | 36582 | 54.1172 | 0.9464 | 0.8700 |
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| 0.0012 | 271.0010 | 36716 | 99.7215 | 0.9466 | 0.8706 |
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| 0.0009 | 272.0010 | 36850 | 111.7230 | 0.9469 | 0.8727 |
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| 0.0009 | 273.0010 | 36984 | 135.0946 | 0.9472 | 0.8711 |
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| 0.0012 | 274.0010 | 37118 | 165.3617 | 0.9476 | 0.8717 |
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| 0.0013 | 275.0009 | 37252 | 139.7315 | 0.9477 | 0.8727 |
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| 0.0008 | 276.0009 | 37386 | 145.0181 | 0.9471 | 0.8713 |
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| 0.0007 | 277.0009 | 37520 | 190.3460 | 0.9473 | 0.8713 |
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| 0.0008 | 278.0009 | 37654 | 162.4886 | 0.9478 | 0.8727 |
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| 0.0008 | 279.0009 | 37788 | 179.8172 | 0.9473 | 0.8712 |
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| 0.0009 | 280.0009 | 37922 | 192.0800 | 0.9468 | 0.8704 |
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| 0.0016 | 281.0009 | 38056 | 173.5563 | 0.9462 | 0.8657 |
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| 0.001 | 282.0009 | 38190 | 179.8170 | 0.9469 | 0.8702 |
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| 0.0008 | 283.0009 | 38324 | 181.3821 | 0.9465 | 0.8679 |
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| 0.0013 | 284.0009 | 38458 | 194.3612 | 0.9466 | 0.8641 |
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| 0.0029 | 285.0009 | 38592 | 95.6095 | 0.9423 | 0.8590 |
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| 0.0206 | 286.0009 | 38726 | 77.1639 | 0.9434 | 0.8582 |
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| 0.0113 | 287.0009 | 38860 | 89.3969 | 0.9450 | 0.8630 |
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| 0.0376 | 288.0008 | 38994 | 97.5459 | 0.9403 | 0.8634 |
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| 0.0068 | 289.0008 | 39128 | 95.8507 | 0.9481 | 0.8723 |
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| 0.0023 | 290.0008 | 39262 | 125.2292 | 0.9468 | 0.8727 |
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| 0.0011 | 291.0008 | 39396 | 133.2481 | 0.9475 | 0.8739 |
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| 0.0008 | 292.0008 | 39530 | 143.0677 | 0.9477 | 0.8739 |
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| 0.0008 | 293.0008 | 39664 | 134.9695 | 0.9485 | 0.8733 |
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| 0.0008 | 294.0008 | 39798 | 159.0069 | 0.9484 | 0.8736 |
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| 0.001 | 295.0008 | 39932 | 197.6460 | 0.9479 | 0.8715 |
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| 351 |
-
| 0.0009 | 296.0008 | 40066 | 183.4541 | 0.9482 | 0.8720 |
|
| 352 |
-
| 0.0013 | 297.0008 | 40200 | 188.8042 | 0.9482 | 0.8718 |
|
| 353 |
-
| 0.0014 | 298.0008 | 40334 | 185.1784 | 0.9484 | 0.8721 |
|
| 354 |
-
| 0.0033 | 299.0008 | 40468 | 148.2142 | 0.9475 | 0.8655 |
|
| 355 |
-
| 0.0028 | 300.0008 | 40602 | 163.2597 | 0.9452 | 0.8665 |
|
| 356 |
-
| 0.0024 | 301.0008 | 40736 | 187.1689 | 0.9453 | 0.8687 |
|
| 357 |
-
| 0.0016 | 302.0007 | 40870 | 172.7240 | 0.9461 | 0.8724 |
|
| 358 |
-
| 0.0012 | 303.0007 | 41004 | 190.5916 | 0.9457 | 0.8681 |
|
| 359 |
-
| 0.0008 | 304.0007 | 41138 | 178.6293 | 0.9468 | 0.8717 |
|
| 360 |
-
| 0.0007 | 305.0007 | 41272 | 178.7706 | 0.9469 | 0.8710 |
|
| 361 |
-
| 0.0011 | 306.0007 | 41406 | 193.0382 | 0.9470 | 0.8709 |
|
| 362 |
-
| 0.0009 | 307.0007 | 41540 | 223.9004 | 0.9482 | 0.8739 |
|
| 363 |
-
| 0.0007 | 308.0007 | 41674 | 230.3198 | 0.9481 | 0.8724 |
|
| 364 |
-
| 0.0072 | 309.0007 | 41808 | 149.6075 | 0.9435 | 0.8651 |
|
| 365 |
-
| 0.0157 | 310.0007 | 41942 | 112.7918 | 0.9445 | 0.8542 |
|
| 366 |
-
| 0.0027 | 311.0007 | 42076 | 141.8771 | 0.9462 | 0.8717 |
|
| 367 |
-
| 0.0026 | 312.0007 | 42210 | 114.1093 | 0.9468 | 0.8713 |
|
| 368 |
-
| 0.0026 | 313.0007 | 42344 | 126.7154 | 0.9480 | 0.8737 |
|
| 369 |
-
| 0.0047 | 314.0007 | 42478 | 77.0246 | 0.9468 | 0.8754 |
|
| 370 |
-
| 0.0089 | 315.0006 | 42612 | 132.1414 | 0.9199 | 0.8594 |
|
| 371 |
-
| 0.0034 | 316.0006 | 42746 | 110.4408 | 0.9489 | 0.8716 |
|
| 372 |
-
| 0.0018 | 317.0006 | 42880 | 142.3711 | 0.9493 | 0.8737 |
|
| 373 |
-
| 0.0014 | 318.0006 | 43014 | 153.9479 | 0.9488 | 0.8740 |
|
| 374 |
-
| 0.0009 | 319.0006 | 43148 | 159.1833 | 0.9484 | 0.8754 |
|
| 375 |
-
| 0.0008 | 320.0006 | 43282 | 176.1735 | 0.9487 | 0.8738 |
|
| 376 |
-
| 0.0008 | 321.0006 | 43416 | 184.6256 | 0.9485 | 0.8731 |
|
| 377 |
-
| 0.0008 | 322.0006 | 43550 | 185.8248 | 0.9488 | 0.8721 |
|
| 378 |
-
| 0.0006 | 323.0006 | 43684 | 206.3859 | 0.9488 | 0.8735 |
|
| 379 |
-
| 0.0006 | 324.0006 | 43818 | 207.9562 | 0.9486 | 0.8736 |
|
| 380 |
-
| 0.0055 | 325.0006 | 43952 | 173.8365 | 0.9429 | 0.8618 |
|
| 381 |
-
| 0.0018 | 326.0006 | 44086 | 179.0922 | 0.9477 | 0.8706 |
|
| 382 |
-
| 0.0008 | 327.0006 | 44220 | 187.7769 | 0.9476 | 0.8732 |
|
| 383 |
-
| 0.0007 | 328.0005 | 44354 | 174.3856 | 0.9474 | 0.8720 |
|
| 384 |
-
| 0.0006 | 329.0005 | 44488 | 176.2926 | 0.9485 | 0.8744 |
|
| 385 |
-
| 0.0007 | 330.0005 | 44622 | 184.2081 | 0.9475 | 0.8701 |
|
| 386 |
-
| 0.0006 | 331.0005 | 44756 | 202.9410 | 0.9480 | 0.8735 |
|
| 387 |
-
| 0.0011 | 332.0005 | 44890 | 232.3411 | 0.9476 | 0.8748 |
|
| 388 |
-
| 0.0013 | 333.0005 | 45024 | 186.2867 | 0.9471 | 0.8723 |
|
| 389 |
-
| 0.0007 | 334.0005 | 45158 | 187.7565 | 0.9474 | 0.8718 |
|
| 390 |
-
| 0.0012 | 335.0005 | 45292 | 192.5819 | 0.9477 | 0.8726 |
|
| 391 |
-
| 0.0008 | 336.0005 | 45426 | 193.2551 | 0.9471 | 0.8742 |
|
| 392 |
-
| 0.0008 | 337.0005 | 45560 | 206.2135 | 0.9477 | 0.8743 |
|
| 393 |
-
| 0.0005 | 338.0005 | 45694 | 190.3214 | 0.9471 | 0.8724 |
|
| 394 |
-
| 0.0017 | 339.0005 | 45828 | 183.5470 | 0.9454 | 0.8694 |
|
| 395 |
|
| 396 |
|
| 397 |
### Framework versions
|
|
|
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 92.9445
|
| 20 |
+
- Accuracy: 0.8351
|
| 21 |
+
- Macro F1: 0.6489
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 43 |
- seed: 42
|
| 44 |
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 45 |
- lr_scheduler_type: linear
|
| 46 |
+
- lr_scheduler_warmup_steps: 6700
|
| 47 |
+
- training_steps: 134000
|
| 48 |
|
| 49 |
### Training results
|
| 50 |
|
| 51 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
|
| 52 |
|:-------------:|:--------:|:-----:|:---------------:|:--------:|:--------:|
|
| 53 |
+
| 47.3163 | 2.0002 | 100 | 30.8693 | 0.1303 | 0.0409 |
|
| 54 |
+
| 18.3779 | 5.0002 | 200 | 73.9035 | 0.2042 | 0.0513 |
|
| 55 |
+
| 8.2696 | 8.0002 | 300 | 147.5503 | 0.4564 | 0.1146 |
|
| 56 |
+
| 6.7213 | 11.0002 | 400 | 171.8964 | 0.5408 | 0.1392 |
|
| 57 |
+
| 6.132 | 14.0002 | 500 | 205.9964 | 0.5705 | 0.1495 |
|
| 58 |
+
| 5.4198 | 17.0002 | 600 | 196.4142 | 0.5921 | 0.1633 |
|
| 59 |
+
| 4.9322 | 20.0001 | 700 | 226.8508 | 0.6124 | 0.1847 |
|
| 60 |
+
| 4.2859 | 23.0001 | 800 | 182.0064 | 0.6303 | 0.2069 |
|
| 61 |
+
| 3.5424 | 26.0001 | 900 | 119.8234 | 0.6409 | 0.2184 |
|
| 62 |
+
| 2.9893 | 29.0001 | 1000 | 94.5961 | 0.6575 | 0.2582 |
|
| 63 |
+
| 2.388 | 32.0001 | 1100 | 67.4827 | 0.6717 | 0.2771 |
|
| 64 |
+
| 1.9977 | 35.0001 | 1200 | 37.1315 | 0.6834 | 0.2970 |
|
| 65 |
+
| 1.7116 | 38.0001 | 1300 | 23.7928 | 0.6906 | 0.3159 |
|
| 66 |
+
| 1.5454 | 41.0000 | 1400 | 16.0731 | 0.7089 | 0.3520 |
|
| 67 |
+
| 1.239 | 44.0000 | 1500 | 11.3044 | 0.7181 | 0.3888 |
|
| 68 |
+
| 1.0348 | 47.0000 | 1600 | 8.7288 | 0.7154 | 0.3897 |
|
| 69 |
+
| 0.9315 | 49.0003 | 1700 | 7.1351 | 0.7297 | 0.4125 |
|
| 70 |
+
| 0.7517 | 52.0002 | 1800 | 5.4532 | 0.7377 | 0.4526 |
|
| 71 |
+
| 0.6675 | 55.0002 | 1900 | 4.5291 | 0.7463 | 0.4581 |
|
| 72 |
+
| 0.5866 | 58.0002 | 2000 | 4.1340 | 0.7497 | 0.4836 |
|
| 73 |
+
| 0.5392 | 61.0002 | 2100 | 5.2211 | 0.7500 | 0.4725 |
|
| 74 |
+
| 0.4744 | 64.0002 | 2200 | 4.0583 | 0.7573 | 0.4881 |
|
| 75 |
+
| 0.4311 | 67.0002 | 2300 | 3.8780 | 0.7550 | 0.4983 |
|
| 76 |
+
| 0.3422 | 70.0001 | 2400 | 4.1826 | 0.7612 | 0.5172 |
|
| 77 |
+
| 0.3217 | 73.0001 | 2500 | 4.3735 | 0.7598 | 0.4986 |
|
| 78 |
+
| 0.2984 | 76.0001 | 2600 | 3.9067 | 0.7668 | 0.5125 |
|
| 79 |
+
| 0.2532 | 79.0001 | 2700 | 4.7464 | 0.7738 | 0.5218 |
|
| 80 |
+
| 0.2438 | 82.0001 | 2800 | 5.1362 | 0.7645 | 0.5052 |
|
| 81 |
+
| 0.2177 | 85.0001 | 2900 | 5.6936 | 0.7645 | 0.5229 |
|
| 82 |
+
| 0.1968 | 88.0001 | 3000 | 5.4854 | 0.7752 | 0.5312 |
|
| 83 |
+
| 0.1901 | 91.0000 | 3100 | 5.9959 | 0.7740 | 0.5294 |
|
| 84 |
+
| 0.1645 | 94.0000 | 3200 | 7.4186 | 0.7812 | 0.5407 |
|
| 85 |
+
| 0.1472 | 97.0000 | 3300 | 7.2000 | 0.7823 | 0.5439 |
|
| 86 |
+
| 0.1409 | 99.0003 | 3400 | 8.4192 | 0.7740 | 0.5455 |
|
| 87 |
+
| 0.1294 | 102.0002 | 3500 | 9.2161 | 0.7822 | 0.5527 |
|
| 88 |
+
| 0.1213 | 105.0002 | 3600 | 10.7050 | 0.7800 | 0.5496 |
|
| 89 |
+
| 0.1002 | 108.0002 | 3700 | 11.5795 | 0.7820 | 0.5526 |
|
| 90 |
+
| 0.1016 | 111.0002 | 3800 | 12.5054 | 0.7788 | 0.5493 |
|
| 91 |
+
| 0.0917 | 114.0002 | 3900 | 14.2625 | 0.7912 | 0.5581 |
|
| 92 |
+
| 0.0871 | 117.0002 | 4000 | 16.3408 | 0.7845 | 0.5498 |
|
| 93 |
+
| 0.0717 | 120.0001 | 4100 | 16.0609 | 0.7878 | 0.5545 |
|
| 94 |
+
| 0.0711 | 123.0001 | 4200 | 15.5629 | 0.7920 | 0.5594 |
|
| 95 |
+
| 0.0648 | 126.0001 | 4300 | 16.5698 | 0.7914 | 0.5558 |
|
| 96 |
+
| 0.0625 | 129.0001 | 4400 | 17.8345 | 0.7899 | 0.5609 |
|
| 97 |
+
| 0.0574 | 132.0001 | 4500 | 19.8641 | 0.7975 | 0.5593 |
|
| 98 |
+
| 0.0584 | 135.0001 | 4600 | 20.1964 | 0.7913 | 0.5737 |
|
| 99 |
+
| 0.0492 | 138.0001 | 4700 | 20.8334 | 0.7966 | 0.5695 |
|
| 100 |
+
| 0.0485 | 141.0000 | 4800 | 18.2647 | 0.7973 | 0.5623 |
|
| 101 |
+
| 0.0449 | 144.0000 | 4900 | 19.5311 | 0.8019 | 0.5760 |
|
| 102 |
+
| 0.0403 | 147.0000 | 5000 | 16.6079 | 0.8009 | 0.5660 |
|
| 103 |
+
| 0.042 | 149.0003 | 5100 | 19.8222 | 0.8000 | 0.5709 |
|
| 104 |
+
| 0.049 | 152.0002 | 5200 | 15.4262 | 0.7929 | 0.5741 |
|
| 105 |
+
| 0.0474 | 155.0002 | 5300 | 15.9017 | 0.7948 | 0.5733 |
|
| 106 |
+
| 0.0492 | 158.0002 | 5400 | 16.0189 | 0.8028 | 0.5844 |
|
| 107 |
+
| 0.0404 | 161.0002 | 5500 | 18.5286 | 0.7974 | 0.5851 |
|
| 108 |
+
| 0.0297 | 164.0002 | 5600 | 20.1967 | 0.7979 | 0.5785 |
|
| 109 |
+
| 0.0433 | 167.0002 | 5700 | 19.7008 | 0.8016 | 0.5811 |
|
| 110 |
+
| 0.0367 | 170.0001 | 5800 | 25.0676 | 0.8015 | 0.5834 |
|
| 111 |
+
| 0.0252 | 173.0001 | 5900 | 20.9383 | 0.8091 | 0.5882 |
|
| 112 |
+
| 0.024 | 176.0001 | 6000 | 23.0352 | 0.8096 | 0.5913 |
|
| 113 |
+
| 0.0281 | 179.0001 | 6100 | 19.2521 | 0.8087 | 0.5910 |
|
| 114 |
+
| 0.0366 | 182.0001 | 6200 | 15.7690 | 0.8063 | 0.5857 |
|
| 115 |
+
| 0.0583 | 185.0001 | 6300 | 16.3419 | 0.8062 | 0.5854 |
|
| 116 |
+
| 0.0416 | 188.0001 | 6400 | 18.7125 | 0.8054 | 0.5898 |
|
| 117 |
+
| 0.0225 | 191.0000 | 6500 | 22.5244 | 0.8105 | 0.5938 |
|
| 118 |
+
| 0.044 | 194.0000 | 6600 | 21.5082 | 0.8059 | 0.5915 |
|
| 119 |
+
| 0.0361 | 197.0000 | 6700 | 20.1734 | 0.8054 | 0.5811 |
|
| 120 |
+
| 0.0245 | 199.0003 | 6800 | 20.5808 | 0.8165 | 0.6041 |
|
| 121 |
+
| 0.0129 | 202.0002 | 6900 | 27.7038 | 0.8173 | 0.6062 |
|
| 122 |
+
| 0.0109 | 205.0002 | 7000 | 22.6937 | 0.8188 | 0.6094 |
|
| 123 |
+
| 0.0097 | 208.0002 | 7100 | 20.1624 | 0.8186 | 0.6085 |
|
| 124 |
+
| 0.0088 | 211.0002 | 7200 | 19.8737 | 0.8191 | 0.6078 |
|
| 125 |
+
| 0.0078 | 214.0002 | 7300 | 21.2022 | 0.8195 | 0.6102 |
|
| 126 |
+
| 0.0077 | 217.0002 | 7400 | 17.8276 | 0.8184 | 0.6077 |
|
| 127 |
+
| 0.0215 | 220.0001 | 7500 | 10.9249 | 0.8127 | 0.5990 |
|
| 128 |
+
| 0.0609 | 223.0001 | 7600 | 13.1890 | 0.8032 | 0.5912 |
|
| 129 |
+
| 0.0709 | 226.0001 | 7700 | 13.2116 | 0.8067 | 0.5872 |
|
| 130 |
+
| 0.0393 | 229.0001 | 7800 | 16.6301 | 0.7959 | 0.5827 |
|
| 131 |
+
| 0.0242 | 232.0001 | 7900 | 11.3938 | 0.8107 | 0.6046 |
|
| 132 |
+
| 0.0444 | 235.0001 | 8000 | 10.1589 | 0.8149 | 0.5994 |
|
| 133 |
+
| 0.0171 | 238.0001 | 8100 | 17.5608 | 0.8170 | 0.6128 |
|
| 134 |
+
| 0.0088 | 241.0000 | 8200 | 31.8106 | 0.8201 | 0.6131 |
|
| 135 |
+
| 0.006 | 244.0000 | 8300 | 31.6438 | 0.8201 | 0.6153 |
|
| 136 |
+
| 0.0045 | 247.0000 | 8400 | 43.1105 | 0.8211 | 0.6166 |
|
| 137 |
+
| 0.0042 | 249.0003 | 8500 | 48.9958 | 0.8210 | 0.6145 |
|
| 138 |
+
| 0.0042 | 252.0002 | 8600 | 48.2911 | 0.8192 | 0.6153 |
|
| 139 |
+
| 0.0041 | 255.0002 | 8700 | 58.6606 | 0.8205 | 0.6101 |
|
| 140 |
+
| 0.0037 | 258.0002 | 8800 | 49.3388 | 0.8197 | 0.6140 |
|
| 141 |
+
| 0.0034 | 261.0002 | 8900 | 43.3330 | 0.8210 | 0.6148 |
|
| 142 |
+
| 0.0028 | 264.0002 | 9000 | 70.6156 | 0.8209 | 0.6167 |
|
| 143 |
+
| 0.0027 | 267.0002 | 9100 | 58.1277 | 0.8208 | 0.6143 |
|
| 144 |
+
| 0.0026 | 270.0001 | 9200 | 60.0669 | 0.8214 | 0.6174 |
|
| 145 |
+
| 0.0023 | 273.0001 | 9300 | 59.1947 | 0.8211 | 0.6142 |
|
| 146 |
+
| 0.0022 | 276.0001 | 9400 | 70.9149 | 0.8218 | 0.6161 |
|
| 147 |
+
| 0.0034 | 279.0001 | 9500 | 67.0878 | 0.8201 | 0.6067 |
|
| 148 |
+
| 0.0146 | 282.0001 | 9600 | 16.9134 | 0.8133 | 0.6036 |
|
| 149 |
+
| 0.0726 | 285.0001 | 9700 | 6.7295 | 0.8017 | 0.5961 |
|
| 150 |
+
| 0.0781 | 288.0001 | 9800 | 22.6693 | 0.8067 | 0.6121 |
|
| 151 |
+
| 0.0339 | 291.0000 | 9900 | 21.5826 | 0.8182 | 0.6164 |
|
| 152 |
+
| 0.01 | 294.0000 | 10000 | 44.6430 | 0.8216 | 0.6243 |
|
| 153 |
+
| 0.0034 | 297.0000 | 10100 | 77.8298 | 0.8262 | 0.6292 |
|
| 154 |
+
| 0.0025 | 299.0003 | 10200 | 96.9464 | 0.8257 | 0.6286 |
|
| 155 |
+
| 0.0025 | 302.0002 | 10300 | 102.0366 | 0.8259 | 0.6314 |
|
| 156 |
+
| 0.002 | 305.0002 | 10400 | 103.6177 | 0.8254 | 0.6278 |
|
| 157 |
+
| 0.0019 | 308.0002 | 10500 | 103.6782 | 0.8253 | 0.6281 |
|
| 158 |
+
| 0.0016 | 311.0002 | 10600 | 110.3705 | 0.8251 | 0.6291 |
|
| 159 |
+
| 0.0016 | 314.0002 | 10700 | 119.2593 | 0.8256 | 0.6295 |
|
| 160 |
+
| 0.0012 | 317.0002 | 10800 | 133.0785 | 0.8250 | 0.6285 |
|
| 161 |
+
| 0.0011 | 320.0001 | 10900 | 139.8087 | 0.8265 | 0.6316 |
|
| 162 |
+
| 0.0014 | 323.0001 | 11000 | 133.1513 | 0.8253 | 0.6296 |
|
| 163 |
+
| 0.0013 | 326.0001 | 11100 | 131.9007 | 0.8258 | 0.6285 |
|
| 164 |
+
| 0.001 | 329.0001 | 11200 | 132.4369 | 0.8260 | 0.6287 |
|
| 165 |
+
| 0.001 | 332.0001 | 11300 | 140.8848 | 0.8259 | 0.6300 |
|
| 166 |
+
| 0.001 | 335.0001 | 11400 | 134.3902 | 0.8259 | 0.6319 |
|
| 167 |
+
| 0.0011 | 338.0001 | 11500 | 145.7966 | 0.8251 | 0.6278 |
|
| 168 |
+
| 0.0102 | 341.0000 | 11600 | 81.0544 | 0.8162 | 0.6099 |
|
| 169 |
+
| 0.0988 | 344.0000 | 11700 | 6.4441 | 0.8081 | 0.5983 |
|
| 170 |
+
| 0.0383 | 347.0000 | 11800 | 15.7353 | 0.8171 | 0.6236 |
|
| 171 |
+
| 0.0269 | 349.0003 | 11900 | 15.4510 | 0.8231 | 0.6299 |
|
| 172 |
+
| 0.0056 | 352.0002 | 12000 | 39.3317 | 0.8310 | 0.6388 |
|
| 173 |
+
| 0.002 | 355.0002 | 12100 | 64.9580 | 0.8321 | 0.6369 |
|
| 174 |
+
| 0.0014 | 358.0002 | 12200 | 100.9092 | 0.8320 | 0.6356 |
|
| 175 |
+
| 0.0015 | 361.0002 | 12300 | 132.6300 | 0.8308 | 0.6354 |
|
| 176 |
+
| 0.0019 | 364.0002 | 12400 | 143.8231 | 0.8318 | 0.6366 |
|
| 177 |
+
| 0.002 | 367.0002 | 12500 | 142.8417 | 0.8311 | 0.6350 |
|
| 178 |
+
| 0.001 | 370.0001 | 12600 | 173.5246 | 0.8316 | 0.6363 |
|
| 179 |
+
| 0.0009 | 373.0001 | 12700 | 169.8688 | 0.8314 | 0.6361 |
|
| 180 |
+
| 0.0009 | 376.0001 | 12800 | 160.1022 | 0.8314 | 0.6367 |
|
| 181 |
+
| 0.0007 | 379.0001 | 12900 | 171.5284 | 0.8316 | 0.6352 |
|
| 182 |
+
| 0.0008 | 382.0001 | 13000 | 178.9394 | 0.8319 | 0.6365 |
|
| 183 |
+
| 0.0007 | 385.0001 | 13100 | 169.9729 | 0.8310 | 0.6334 |
|
| 184 |
+
| 0.0011 | 388.0001 | 13200 | 195.4408 | 0.8311 | 0.6363 |
|
| 185 |
+
| 0.0062 | 391.0000 | 13300 | 171.9105 | 0.8207 | 0.6237 |
|
| 186 |
+
| 0.0142 | 394.0000 | 13400 | 41.0027 | 0.8229 | 0.6282 |
|
| 187 |
+
| 0.0302 | 397.0000 | 13500 | 24.5782 | 0.8197 | 0.6255 |
|
| 188 |
+
| 0.0264 | 399.0003 | 13600 | 40.6889 | 0.8246 | 0.6186 |
|
| 189 |
+
| 0.0084 | 402.0002 | 13700 | 105.5886 | 0.8247 | 0.6312 |
|
| 190 |
+
| 0.0017 | 405.0002 | 13800 | 152.7374 | 0.8303 | 0.6388 |
|
| 191 |
+
| 0.0011 | 408.0002 | 13900 | 159.2113 | 0.8314 | 0.6389 |
|
| 192 |
+
| 0.0009 | 411.0002 | 14000 | 153.1523 | 0.8307 | 0.6377 |
|
| 193 |
+
| 0.001 | 414.0002 | 14100 | 157.6186 | 0.8318 | 0.6400 |
|
| 194 |
+
| 0.0008 | 417.0002 | 14200 | 182.1874 | 0.8315 | 0.6404 |
|
| 195 |
+
| 0.0007 | 420.0001 | 14300 | 190.1730 | 0.8317 | 0.6393 |
|
| 196 |
+
| 0.0006 | 423.0001 | 14400 | 195.1539 | 0.8308 | 0.6408 |
|
| 197 |
+
| 0.0006 | 426.0001 | 14500 | 208.1863 | 0.8310 | 0.6392 |
|
| 198 |
+
| 0.0008 | 429.0001 | 14600 | 204.0640 | 0.8310 | 0.6383 |
|
| 199 |
+
| 0.0007 | 432.0001 | 14700 | 215.0364 | 0.8308 | 0.6408 |
|
| 200 |
+
| 0.0007 | 435.0001 | 14800 | 218.7525 | 0.8307 | 0.6402 |
|
| 201 |
+
| 0.0006 | 438.0001 | 14900 | 197.6684 | 0.8305 | 0.6407 |
|
| 202 |
+
| 0.0006 | 441.0000 | 15000 | 185.9242 | 0.8306 | 0.6388 |
|
| 203 |
+
| 0.0006 | 444.0000 | 15100 | 214.7215 | 0.8316 | 0.6412 |
|
| 204 |
+
| 0.001 | 447.0000 | 15200 | 208.3420 | 0.8309 | 0.6395 |
|
| 205 |
+
| 0.0006 | 449.0003 | 15300 | 234.3956 | 0.8324 | 0.6390 |
|
| 206 |
+
| 0.0005 | 452.0002 | 15400 | 239.8244 | 0.8320 | 0.6384 |
|
| 207 |
+
| 0.0004 | 455.0002 | 15500 | 244.7468 | 0.8327 | 0.6414 |
|
| 208 |
+
| 0.0006 | 458.0002 | 15600 | 222.3871 | 0.8317 | 0.6354 |
|
| 209 |
+
| 0.0007 | 461.0002 | 15700 | 201.6138 | 0.8325 | 0.6429 |
|
| 210 |
+
| 0.0058 | 464.0002 | 15800 | 149.7280 | 0.8270 | 0.6376 |
|
| 211 |
+
| 0.1063 | 467.0002 | 15900 | 3.3431 | 0.8018 | 0.6118 |
|
| 212 |
+
| 0.0731 | 470.0001 | 16000 | 9.8959 | 0.8106 | 0.6004 |
|
| 213 |
+
| 0.0164 | 473.0001 | 16100 | 75.8666 | 0.8310 | 0.6363 |
|
| 214 |
+
| 0.0047 | 476.0001 | 16200 | 96.5890 | 0.8351 | 0.6489 |
|
| 215 |
+
| 0.0013 | 479.0001 | 16300 | 128.9747 | 0.8350 | 0.6453 |
|
| 216 |
+
| 0.0009 | 482.0001 | 16400 | 149.2739 | 0.8362 | 0.6472 |
|
| 217 |
+
| 0.0009 | 485.0001 | 16500 | 163.3597 | 0.8355 | 0.6444 |
|
| 218 |
+
| 0.0014 | 488.0001 | 16600 | 163.6047 | 0.8352 | 0.6450 |
|
| 219 |
+
| 0.0008 | 491.0000 | 16700 | 181.5134 | 0.8357 | 0.6467 |
|
| 220 |
+
| 0.0006 | 494.0000 | 16800 | 173.8016 | 0.8361 | 0.6457 |
|
| 221 |
+
| 0.0006 | 497.0000 | 16900 | 181.4426 | 0.8352 | 0.6459 |
|
| 222 |
+
| 0.0006 | 499.0003 | 17000 | 206.2824 | 0.8353 | 0.6437 |
|
| 223 |
+
| 0.0005 | 502.0002 | 17100 | 231.8197 | 0.8352 | 0.6442 |
|
| 224 |
+
| 0.0005 | 505.0002 | 17200 | 216.9023 | 0.8347 | 0.6448 |
|
| 225 |
+
| 0.0004 | 508.0002 | 17300 | 221.9971 | 0.8351 | 0.6439 |
|
| 226 |
+
| 0.0004 | 511.0002 | 17400 | 225.0059 | 0.8349 | 0.6429 |
|
| 227 |
+
| 0.0005 | 514.0002 | 17500 | 224.4912 | 0.8345 | 0.6459 |
|
| 228 |
+
| 0.0004 | 517.0002 | 17600 | 226.5936 | 0.8355 | 0.6445 |
|
| 229 |
+
| 0.0004 | 520.0001 | 17700 | 226.1902 | 0.8350 | 0.6435 |
|
| 230 |
+
| 0.0003 | 523.0001 | 17800 | 214.3505 | 0.8355 | 0.6439 |
|
| 231 |
+
| 0.0003 | 526.0001 | 17900 | 242.6153 | 0.8352 | 0.6443 |
|
| 232 |
+
| 0.0003 | 529.0001 | 18000 | 233.4839 | 0.8342 | 0.6421 |
|
| 233 |
+
| 0.0004 | 532.0001 | 18100 | 207.2473 | 0.8350 | 0.6426 |
|
| 234 |
+
| 0.0004 | 535.0001 | 18200 | 212.7851 | 0.8347 | 0.6421 |
|
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| 235 |
|
| 236 |
|
| 237 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 521223456
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ffb647222eb2dc8d0430f6012253fe8c0a19753936cbccb9fc4a769e29f3c04
|
| 3 |
size 521223456
|
runs/0-sample_rate=0.05/events.out.tfevents.1742263069.yara2.606931.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bbd4aaa8492b287e1b064356d0164f94da7b2839d3322a4b85053b84691e115a
|
| 3 |
+
size 150411
|
runs/0-sample_rate=0.05/events.out.tfevents.1742274161.yara2.606931.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e730c93eb7f51c73f93bb081c88b3cdc88aed6c32aa3f6225e1e85e2ab1da5ae
|
| 3 |
+
size 470
|