Training in progress, step 336
Browse files- README.md +233 -132
- model.safetensors +1 -1
- predictions/0-sample_rate=0.1/y_pred.npy +3 -0
- predictions/0-sample_rate=0.1/y_true.npy +3 -0
- predictions/0-sample_rate=0.1/y_type.npy +3 -0
- runs/0-sample_rate=0.5/events.out.tfevents.1743436451.yara2.64716.0 +3 -0
- sample_rate=0.10/checkpoint-20800/config.json +18 -0
- sample_rate=0.10/checkpoint-20800/model.safetensors +3 -0
- sample_rate=0.10/checkpoint-20800/optimizer.pt +3 -0
- sample_rate=0.10/checkpoint-20800/rng_state.pth +3 -0
- sample_rate=0.10/checkpoint-20800/scheduler.pt +3 -0
- sample_rate=0.10/checkpoint-20800/trainer_state.json +0 -0
- sample_rate=0.10/checkpoint-20800/training_args.bin +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [Arthur-Tsai/histv4_pretrain_tssp-smlm](https://huggingface.co/Arthur-Tsai/histv4_pretrain_tssp-smlm) 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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- lr_scheduler_warmup_steps:
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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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### Framework versions
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This model is a fine-tuned version of [Arthur-Tsai/histv4_pretrain_tssp-smlm](https://huggingface.co/Arthur-Tsai/histv4_pretrain_tssp-smlm) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 1.6272
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+
- Accuracy: 0.8771
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+
- Macro F1: 0.7080
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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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- lr_scheduler_warmup_steps: 6725
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- training_steps: 134500
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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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| 38.9524 | 1.0002 | 100 | 25.4702 | 0.0504 | 0.0260 |
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| 23.6969 | 2.0005 | 200 | 14.6119 | 0.0610 | 0.0284 |
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| 11.4531 | 4.0002 | 300 | 8.3989 | 0.2494 | 0.0798 |
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| 7.7719 | 5.0004 | 400 | 6.9395 | 0.5031 | 0.1306 |
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| 6.7875 | 7.0002 | 500 | 6.4866 | 0.5527 | 0.1471 |
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| 6.2386 | 8.0004 | 600 | 5.7786 | 0.5771 | 0.1541 |
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| 5.8795 | 10.0001 | 700 | 5.5945 | 0.5915 | 0.1560 |
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| 5.4314 | 11.0004 | 800 | 4.9156 | 0.6040 | 0.1660 |
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| 5.0565 | 13.0001 | 900 | 4.2589 | 0.6115 | 0.1720 |
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| 4.6784 | 14.0004 | 1000 | 4.0632 | 0.6228 | 0.1730 |
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| 4.3903 | 16.0001 | 1100 | 3.4836 | 0.6337 | 0.1879 |
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| 3.7652 | 17.0003 | 1200 | 3.3140 | 0.6314 | 0.1917 |
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| 3.5554 | 19.0001 | 1300 | 2.9970 | 0.6519 | 0.1959 |
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| 3.2164 | 20.0003 | 1400 | 2.7557 | 0.6619 | 0.2037 |
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| 2.9022 | 22.0000 | 1500 | 2.5274 | 0.6746 | 0.2158 |
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| 2.745 | 23.0003 | 1600 | 2.3551 | 0.6914 | 0.2315 |
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| 2.4721 | 24.0005 | 1700 | 2.3607 | 0.6932 | 0.2416 |
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| 2.3065 | 26.0002 | 1800 | 2.1845 | 0.7110 | 0.2545 |
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| 2.3132 | 27.0005 | 1900 | 2.1555 | 0.7144 | 0.2547 |
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| 2.069 | 29.0002 | 2000 | 2.0353 | 0.7229 | 0.2781 |
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| 2.065 | 30.0004 | 2100 | 2.0333 | 0.7239 | 0.2881 |
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| 1.9441 | 32.0002 | 2200 | 2.0021 | 0.7312 | 0.2978 |
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| 1.8603 | 33.0004 | 2300 | 2.0704 | 0.7178 | 0.2966 |
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| 1.8589 | 35.0001 | 2400 | 1.8634 | 0.7422 | 0.3310 |
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| 1.6732 | 36.0004 | 2500 | 1.8567 | 0.7467 | 0.3422 |
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| 1.6328 | 38.0001 | 2600 | 1.8362 | 0.7482 | 0.3485 |
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| 1.5936 | 39.0004 | 2700 | 1.7911 | 0.7518 | 0.3736 |
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| 1.5476 | 41.0001 | 2800 | 1.9220 | 0.7432 | 0.3484 |
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| 1.4547 | 42.0003 | 2900 | 1.7732 | 0.7573 | 0.3823 |
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| 1.4111 | 44.0001 | 3000 | 1.8029 | 0.7605 | 0.3851 |
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| 1.3497 | 45.0003 | 3100 | 1.7707 | 0.7684 | 0.4061 |
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| 1.3677 | 47.0000 | 3200 | 1.8070 | 0.7547 | 0.4303 |
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| 1.2558 | 48.0003 | 3300 | 1.7805 | 0.7701 | 0.4153 |
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| 1.2228 | 49.0005 | 3400 | 1.6754 | 0.7754 | 0.4497 |
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| 1.1783 | 51.0002 | 3500 | 1.7035 | 0.7715 | 0.4393 |
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| 1.1714 | 52.0005 | 3600 | 1.6420 | 0.7765 | 0.4683 |
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| 1.1496 | 54.0002 | 3700 | 1.6010 | 0.7833 | 0.4685 |
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| 1.0547 | 55.0004 | 3800 | 1.6716 | 0.7833 | 0.4689 |
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| 1.0515 | 57.0002 | 3900 | 1.6513 | 0.7878 | 0.4839 |
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| 1.0019 | 58.0004 | 4000 | 1.6623 | 0.7865 | 0.4932 |
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| 0.9517 | 60.0001 | 4100 | 1.5528 | 0.7887 | 0.4999 |
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| 0.9249 | 61.0004 | 4200 | 1.5528 | 0.7949 | 0.5063 |
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| 0.9072 | 63.0001 | 4300 | 1.5955 | 0.7973 | 0.5230 |
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| 0.8861 | 64.0004 | 4400 | 1.5772 | 0.8012 | 0.5267 |
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| 0.8687 | 66.0001 | 4500 | 1.5187 | 0.8063 | 0.5236 |
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| 0.8164 | 67.0003 | 4600 | 1.6058 | 0.8023 | 0.5409 |
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| 0.7923 | 69.0001 | 4700 | 1.5692 | 0.7978 | 0.5416 |
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| 0.8065 | 70.0003 | 4800 | 1.6526 | 0.7905 | 0.5321 |
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| 0.771 | 72.0000 | 4900 | 1.6163 | 0.7966 | 0.5340 |
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| 0.7377 | 73.0003 | 5000 | 1.5363 | 0.8146 | 0.5564 |
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| 0.7194 | 74.0005 | 5100 | 1.5270 | 0.8135 | 0.5648 |
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| 0.706 | 76.0002 | 5200 | 1.5804 | 0.8068 | 0.5563 |
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| 0.6827 | 77.0005 | 5300 | 1.5398 | 0.8132 | 0.5569 |
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| 0.6852 | 79.0002 | 5400 | 1.4756 | 0.8228 | 0.5733 |
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| 0.6333 | 80.0004 | 5500 | 1.4959 | 0.8216 | 0.5766 |
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| 0.6288 | 82.0002 | 5600 | 1.4462 | 0.8282 | 0.5843 |
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| 0.6165 | 83.0004 | 5700 | 1.5467 | 0.8237 | 0.5788 |
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| 0.6153 | 85.0001 | 5800 | 1.5207 | 0.8249 | 0.5832 |
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| 0.593 | 86.0004 | 5900 | 1.5168 | 0.8303 | 0.5918 |
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| 113 |
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| 0.5669 | 88.0001 | 6000 | 1.4940 | 0.8296 | 0.5837 |
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| 114 |
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| 0.5583 | 89.0004 | 6100 | 1.4895 | 0.8305 | 0.5964 |
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| 115 |
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| 0.5479 | 91.0001 | 6200 | 1.5508 | 0.8360 | 0.5961 |
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| 116 |
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| 0.5385 | 92.0003 | 6300 | 1.4987 | 0.8331 | 0.6056 |
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| 117 |
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| 0.5191 | 94.0001 | 6400 | 1.5468 | 0.8353 | 0.6039 |
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| 118 |
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| 0.5123 | 95.0003 | 6500 | 1.5690 | 0.8292 | 0.6087 |
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| 119 |
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| 0.531 | 97.0000 | 6600 | 1.4221 | 0.8345 | 0.6110 |
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| 120 |
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| 0.5194 | 98.0003 | 6700 | 1.4363 | 0.8365 | 0.6105 |
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| 121 |
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| 0.4885 | 99.0005 | 6800 | 1.5579 | 0.8297 | 0.6109 |
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| 122 |
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| 0.4672 | 101.0002 | 6900 | 1.5172 | 0.8405 | 0.6117 |
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| 123 |
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| 0.4791 | 102.0005 | 7000 | 1.5465 | 0.8386 | 0.6122 |
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| 124 |
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| 0.4622 | 104.0002 | 7100 | 1.5033 | 0.8428 | 0.6198 |
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| 125 |
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| 0.4392 | 105.0004 | 7200 | 1.5061 | 0.8426 | 0.6205 |
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| 126 |
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| 0.4486 | 107.0002 | 7300 | 1.5635 | 0.8389 | 0.6164 |
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| 127 |
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| 0.4339 | 108.0004 | 7400 | 1.4260 | 0.8519 | 0.6348 |
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| 128 |
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| 0.4256 | 110.0001 | 7500 | 1.6025 | 0.8448 | 0.6298 |
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| 129 |
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| 0.4162 | 111.0004 | 7600 | 1.5331 | 0.8441 | 0.6327 |
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| 130 |
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| 0.413 | 113.0001 | 7700 | 1.4859 | 0.8494 | 0.6238 |
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| 131 |
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| 0.4146 | 114.0004 | 7800 | 1.5788 | 0.8483 | 0.6327 |
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| 132 |
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| 0.4176 | 116.0001 | 7900 | 1.5794 | 0.8472 | 0.6314 |
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| 133 |
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| 0.4125 | 117.0003 | 8000 | 1.4955 | 0.8475 | 0.6425 |
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| 134 |
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| 0.389 | 119.0001 | 8100 | 1.4970 | 0.8532 | 0.6406 |
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| 135 |
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| 0.3935 | 120.0003 | 8200 | 1.4477 | 0.8519 | 0.6439 |
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| 136 |
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| 0.3701 | 122.0000 | 8300 | 1.5302 | 0.8543 | 0.6438 |
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| 137 |
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| 0.3757 | 123.0003 | 8400 | 1.4896 | 0.8518 | 0.6472 |
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| 138 |
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| 0.379 | 124.0005 | 8500 | 1.4589 | 0.8550 | 0.6523 |
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| 139 |
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| 0.3589 | 126.0002 | 8600 | 1.5369 | 0.8579 | 0.6485 |
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| 0.3608 | 127.0005 | 8700 | 1.4789 | 0.8541 | 0.6527 |
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| 141 |
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| 0.3575 | 129.0002 | 8800 | 1.5673 | 0.8578 | 0.6559 |
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| 142 |
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| 0.353 | 130.0004 | 8900 | 1.4892 | 0.8562 | 0.6547 |
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| 143 |
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| 0.345 | 132.0002 | 9000 | 1.5182 | 0.8525 | 0.6513 |
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| 144 |
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| 0.3454 | 133.0004 | 9100 | 1.4917 | 0.8561 | 0.6524 |
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| 145 |
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| 0.3398 | 135.0001 | 9200 | 1.5004 | 0.8580 | 0.6574 |
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| 146 |
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| 0.3424 | 136.0004 | 9300 | 1.5002 | 0.8590 | 0.6582 |
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| 147 |
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| 0.3444 | 138.0001 | 9400 | 1.5448 | 0.8581 | 0.6599 |
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| 0.3344 | 139.0004 | 9500 | 1.5231 | 0.8541 | 0.6645 |
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| 149 |
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| 0.3341 | 141.0001 | 9600 | 1.5717 | 0.8594 | 0.6650 |
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| 0.3259 | 142.0003 | 9700 | 1.5598 | 0.8583 | 0.6637 |
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| 151 |
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| 0.3243 | 144.0001 | 9800 | 1.6004 | 0.8595 | 0.6602 |
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| 152 |
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| 0.3236 | 145.0003 | 9900 | 1.5481 | 0.8547 | 0.6693 |
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| 153 |
+
| 0.3212 | 147.0000 | 10000 | 1.4696 | 0.8637 | 0.6698 |
|
| 154 |
+
| 0.3137 | 148.0003 | 10100 | 1.5725 | 0.8518 | 0.6746 |
|
| 155 |
+
| 0.3205 | 149.0005 | 10200 | 1.4266 | 0.8621 | 0.6686 |
|
| 156 |
+
| 0.3102 | 151.0002 | 10300 | 1.5743 | 0.8642 | 0.6709 |
|
| 157 |
+
| 0.3129 | 152.0005 | 10400 | 1.5302 | 0.8644 | 0.6710 |
|
| 158 |
+
| 0.3094 | 154.0002 | 10500 | 1.5116 | 0.8609 | 0.6730 |
|
| 159 |
+
| 0.3058 | 155.0004 | 10600 | 1.5835 | 0.8608 | 0.6707 |
|
| 160 |
+
| 0.3063 | 157.0002 | 10700 | 1.6110 | 0.8623 | 0.6706 |
|
| 161 |
+
| 0.2969 | 158.0004 | 10800 | 1.6587 | 0.8589 | 0.6674 |
|
| 162 |
+
| 0.3022 | 160.0001 | 10900 | 1.7630 | 0.8604 | 0.6698 |
|
| 163 |
+
| 0.2979 | 161.0004 | 11000 | 1.5528 | 0.8608 | 0.6727 |
|
| 164 |
+
| 0.3002 | 163.0001 | 11100 | 1.5465 | 0.8646 | 0.6708 |
|
| 165 |
+
| 0.2979 | 164.0004 | 11200 | 1.6061 | 0.8666 | 0.6769 |
|
| 166 |
+
| 0.2908 | 166.0001 | 11300 | 1.6029 | 0.8643 | 0.6738 |
|
| 167 |
+
| 0.2912 | 167.0003 | 11400 | 1.5405 | 0.8678 | 0.6776 |
|
| 168 |
+
| 0.2898 | 169.0001 | 11500 | 1.5441 | 0.8702 | 0.6845 |
|
| 169 |
+
| 0.2907 | 170.0003 | 11600 | 1.5258 | 0.8683 | 0.6799 |
|
| 170 |
+
| 0.2893 | 172.0000 | 11700 | 1.5444 | 0.8645 | 0.6779 |
|
| 171 |
+
| 0.2848 | 173.0003 | 11800 | 1.5946 | 0.8637 | 0.6753 |
|
| 172 |
+
| 0.2864 | 174.0005 | 11900 | 1.5291 | 0.8652 | 0.6777 |
|
| 173 |
+
| 0.2896 | 176.0002 | 12000 | 1.5473 | 0.8646 | 0.6805 |
|
| 174 |
+
| 0.2889 | 177.0005 | 12100 | 1.6414 | 0.8661 | 0.6792 |
|
| 175 |
+
| 0.2821 | 179.0002 | 12200 | 1.6235 | 0.8649 | 0.6800 |
|
| 176 |
+
| 0.2824 | 180.0004 | 12300 | 1.5445 | 0.8639 | 0.6777 |
|
| 177 |
+
| 0.2774 | 182.0002 | 12400 | 1.6450 | 0.8679 | 0.6823 |
|
| 178 |
+
| 0.2776 | 183.0004 | 12500 | 1.7040 | 0.8655 | 0.6769 |
|
| 179 |
+
| 0.2801 | 185.0001 | 12600 | 1.6475 | 0.8629 | 0.6785 |
|
| 180 |
+
| 0.2745 | 186.0004 | 12700 | 1.5569 | 0.8650 | 0.6776 |
|
| 181 |
+
| 0.2791 | 188.0001 | 12800 | 1.6554 | 0.8638 | 0.6848 |
|
| 182 |
+
| 0.2753 | 189.0004 | 12900 | 1.5796 | 0.8674 | 0.6844 |
|
| 183 |
+
| 0.2753 | 191.0001 | 13000 | 1.6561 | 0.8665 | 0.6847 |
|
| 184 |
+
| 0.2757 | 192.0003 | 13100 | 1.5725 | 0.8691 | 0.6885 |
|
| 185 |
+
| 0.2715 | 194.0001 | 13200 | 1.6434 | 0.8690 | 0.6917 |
|
| 186 |
+
| 0.2743 | 195.0003 | 13300 | 1.6730 | 0.8696 | 0.6889 |
|
| 187 |
+
| 0.2685 | 197.0000 | 13400 | 1.5647 | 0.8695 | 0.6848 |
|
| 188 |
+
| 0.2697 | 198.0003 | 13500 | 1.5948 | 0.8686 | 0.6880 |
|
| 189 |
+
| 0.2794 | 199.0005 | 13600 | 1.5314 | 0.8673 | 0.6841 |
|
| 190 |
+
| 0.2706 | 201.0002 | 13700 | 1.6055 | 0.8679 | 0.6886 |
|
| 191 |
+
| 0.266 | 202.0005 | 13800 | 1.5865 | 0.8692 | 0.6932 |
|
| 192 |
+
| 0.2689 | 204.0002 | 13900 | 1.6282 | 0.8688 | 0.6869 |
|
| 193 |
+
| 0.2674 | 205.0004 | 14000 | 1.5943 | 0.8685 | 0.6874 |
|
| 194 |
+
| 0.27 | 207.0002 | 14100 | 1.6560 | 0.8677 | 0.6895 |
|
| 195 |
+
| 0.264 | 208.0004 | 14200 | 1.7276 | 0.8624 | 0.6788 |
|
| 196 |
+
| 0.2613 | 210.0001 | 14300 | 1.6798 | 0.8738 | 0.6871 |
|
| 197 |
+
| 0.2623 | 211.0004 | 14400 | 1.5849 | 0.8712 | 0.6891 |
|
| 198 |
+
| 0.2665 | 213.0001 | 14500 | 1.6706 | 0.8664 | 0.6868 |
|
| 199 |
+
| 0.2624 | 214.0004 | 14600 | 1.6687 | 0.8698 | 0.6905 |
|
| 200 |
+
| 0.2579 | 216.0001 | 14700 | 1.5432 | 0.8698 | 0.6934 |
|
| 201 |
+
| 0.2672 | 217.0003 | 14800 | 1.6244 | 0.8655 | 0.6922 |
|
| 202 |
+
| 0.2673 | 219.0001 | 14900 | 1.5026 | 0.8725 | 0.6950 |
|
| 203 |
+
| 0.2657 | 220.0003 | 15000 | 1.6586 | 0.8727 | 0.6918 |
|
| 204 |
+
| 0.2598 | 222.0000 | 15100 | 1.6447 | 0.8727 | 0.6933 |
|
| 205 |
+
| 0.2621 | 223.0003 | 15200 | 1.6158 | 0.8728 | 0.6933 |
|
| 206 |
+
| 0.256 | 224.0005 | 15300 | 1.7035 | 0.8689 | 0.6918 |
|
| 207 |
+
| 0.2578 | 226.0002 | 15400 | 1.5341 | 0.8719 | 0.6948 |
|
| 208 |
+
| 0.2552 | 227.0005 | 15500 | 1.6572 | 0.8703 | 0.6918 |
|
| 209 |
+
| 0.2551 | 229.0002 | 15600 | 1.6068 | 0.8718 | 0.6934 |
|
| 210 |
+
| 0.263 | 230.0004 | 15700 | 1.7440 | 0.8718 | 0.6940 |
|
| 211 |
+
| 0.2567 | 232.0002 | 15800 | 1.5865 | 0.8709 | 0.6954 |
|
| 212 |
+
| 0.2538 | 233.0004 | 15900 | 1.6325 | 0.8691 | 0.6933 |
|
| 213 |
+
| 0.2534 | 235.0001 | 16000 | 1.5723 | 0.8693 | 0.6930 |
|
| 214 |
+
| 0.254 | 236.0004 | 16100 | 1.6220 | 0.8703 | 0.6946 |
|
| 215 |
+
| 0.2509 | 238.0001 | 16200 | 1.7125 | 0.8702 | 0.6885 |
|
| 216 |
+
| 0.2513 | 239.0004 | 16300 | 1.7017 | 0.8709 | 0.6957 |
|
| 217 |
+
| 0.2567 | 241.0001 | 16400 | 1.6581 | 0.8710 | 0.6996 |
|
| 218 |
+
| 0.2579 | 242.0003 | 16500 | 1.6368 | 0.8703 | 0.6962 |
|
| 219 |
+
| 0.2665 | 244.0001 | 16600 | 1.5685 | 0.8659 | 0.6928 |
|
| 220 |
+
| 0.2625 | 245.0003 | 16700 | 1.6895 | 0.8724 | 0.6972 |
|
| 221 |
+
| 0.2539 | 247.0000 | 16800 | 1.5884 | 0.8696 | 0.6958 |
|
| 222 |
+
| 0.252 | 248.0003 | 16900 | 1.6708 | 0.8731 | 0.6944 |
|
| 223 |
+
| 0.2476 | 249.0005 | 17000 | 1.6286 | 0.8729 | 0.6983 |
|
| 224 |
+
| 0.2486 | 251.0002 | 17100 | 1.6925 | 0.8751 | 0.6943 |
|
| 225 |
+
| 0.2503 | 252.0005 | 17200 | 1.5907 | 0.8755 | 0.6992 |
|
| 226 |
+
| 0.2489 | 254.0002 | 17300 | 1.7195 | 0.8715 | 0.6970 |
|
| 227 |
+
| 0.2457 | 255.0004 | 17400 | 1.6367 | 0.8765 | 0.6995 |
|
| 228 |
+
| 0.2517 | 257.0002 | 17500 | 1.7663 | 0.8649 | 0.6946 |
|
| 229 |
+
| 0.2414 | 258.0004 | 17600 | 1.6841 | 0.8766 | 0.7006 |
|
| 230 |
+
| 0.2462 | 260.0001 | 17700 | 1.6303 | 0.8748 | 0.7017 |
|
| 231 |
+
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|
| 232 |
+
| 0.2461 | 263.0001 | 17900 | 1.6379 | 0.8717 | 0.6962 |
|
| 233 |
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| 0.245 | 264.0004 | 18000 | 1.6443 | 0.8724 | 0.6975 |
|
| 234 |
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|
| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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| 0.2428 | 273.0003 | 18600 | 1.6138 | 0.8748 | 0.7017 |
|
| 240 |
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| 0.2442 | 274.0005 | 18700 | 1.5828 | 0.8755 | 0.7033 |
|
| 241 |
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| 0.25 | 276.0002 | 18800 | 1.7209 | 0.8717 | 0.6960 |
|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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| 0.2422 | 285.0001 | 19400 | 1.7424 | 0.8719 | 0.6973 |
|
| 248 |
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| 0.2403 | 286.0004 | 19500 | 1.7255 | 0.8725 | 0.6975 |
|
| 249 |
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| 0.2439 | 288.0001 | 19600 | 1.7645 | 0.8719 | 0.6959 |
|
| 250 |
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| 0.2414 | 289.0004 | 19700 | 1.7827 | 0.8757 | 0.7025 |
|
| 251 |
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| 0.2403 | 291.0001 | 19800 | 1.5922 | 0.8786 | 0.7042 |
|
| 252 |
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| 0.233 | 292.0003 | 19900 | 1.8774 | 0.8749 | 0.6993 |
|
| 253 |
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| 0.2357 | 294.0001 | 20000 | 1.6462 | 0.8756 | 0.6989 |
|
| 254 |
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| 0.2468 | 295.0003 | 20100 | 1.6571 | 0.8753 | 0.7041 |
|
| 255 |
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| 0.236 | 297.0000 | 20200 | 1.6926 | 0.8752 | 0.6999 |
|
| 256 |
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| 0.2341 | 298.0003 | 20300 | 1.7504 | 0.8770 | 0.7051 |
|
| 257 |
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| 0.2359 | 299.0005 | 20400 | 1.6860 | 0.8764 | 0.7001 |
|
| 258 |
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| 0.2377 | 301.0002 | 20500 | 1.6689 | 0.8746 | 0.6998 |
|
| 259 |
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| 0.2336 | 302.0005 | 20600 | 1.6257 | 0.8787 | 0.7081 |
|
| 260 |
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| 0.2329 | 304.0002 | 20700 | 1.6803 | 0.8759 | 0.7018 |
|
| 261 |
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| 0.236 | 305.0004 | 20800 | 1.7152 | 0.8783 | 0.7088 |
|
| 262 |
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| 0.2379 | 307.0002 | 20900 | 1.5757 | 0.8736 | 0.7013 |
|
| 263 |
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| 0.2394 | 308.0004 | 21000 | 1.7066 | 0.8751 | 0.7040 |
|
| 264 |
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| 0.2363 | 310.0001 | 21100 | 1.7033 | 0.8803 | 0.7075 |
|
| 265 |
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| 0.2428 | 311.0004 | 21200 | 1.6994 | 0.8762 | 0.6980 |
|
| 266 |
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| 0.2371 | 313.0001 | 21300 | 1.7504 | 0.8715 | 0.7021 |
|
| 267 |
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| 0.2293 | 314.0004 | 21400 | 1.6403 | 0.8751 | 0.7059 |
|
| 268 |
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| 0.2334 | 316.0001 | 21500 | 1.5695 | 0.8773 | 0.7026 |
|
| 269 |
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| 0.2306 | 317.0003 | 21600 | 1.7150 | 0.8767 | 0.7070 |
|
| 270 |
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| 0.236 | 319.0001 | 21700 | 1.5758 | 0.8797 | 0.7065 |
|
| 271 |
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| 0.2327 | 320.0003 | 21800 | 1.8039 | 0.8766 | 0.7069 |
|
| 272 |
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| 0.2327 | 322.0000 | 21900 | 1.7379 | 0.8748 | 0.7044 |
|
| 273 |
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| 0.2322 | 323.0003 | 22000 | 1.6924 | 0.8750 | 0.7028 |
|
| 274 |
+
| 0.2348 | 324.0005 | 22100 | 1.6629 | 0.8749 | 0.7059 |
|
| 275 |
+
| 0.2318 | 326.0002 | 22200 | 1.7193 | 0.8753 | 0.7054 |
|
| 276 |
+
| 0.2308 | 327.0005 | 22300 | 1.7255 | 0.8752 | 0.7033 |
|
| 277 |
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| 0.2294 | 329.0002 | 22400 | 1.7101 | 0.8773 | 0.7029 |
|
| 278 |
+
| 0.2292 | 330.0004 | 22500 | 1.7855 | 0.8745 | 0.7036 |
|
| 279 |
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| 0.2304 | 332.0002 | 22600 | 1.7470 | 0.8733 | 0.6953 |
|
| 280 |
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| 0.2359 | 333.0004 | 22700 | 1.6935 | 0.8764 | 0.7015 |
|
| 281 |
+
| 0.2287 | 335.0001 | 22800 | 1.6621 | 0.8769 | 0.7041 |
|
| 282 |
|
| 283 |
|
| 284 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
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predictions/0-sample_rate=0.1/y_pred.npy
ADDED
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predictions/0-sample_rate=0.1/y_true.npy
ADDED
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predictions/0-sample_rate=0.1/y_type.npy
ADDED
|
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version https://git-lfs.github.com/spec/v1
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ADDED
|
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version https://git-lfs.github.com/spec/v1
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sample_rate=0.10/checkpoint-20800/config.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Arthur-Tsai/histv4_pretrain_tssp-smlm",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"HiSenTrans"
|
| 5 |
+
],
|
| 6 |
+
"dropout": 0.2,
|
| 7 |
+
"max_doc_len": 4500,
|
| 8 |
+
"max_sent_len": 256,
|
| 9 |
+
"model_type": "hierarchical-sentence-transformer-v2",
|
| 10 |
+
"n_head": 8,
|
| 11 |
+
"num_aux_smlm_labels": 384,
|
| 12 |
+
"num_aux_spo_labels": 1,
|
| 13 |
+
"num_aux_tssp_labels": 3,
|
| 14 |
+
"num_layers": 2,
|
| 15 |
+
"num_main_labels": 36,
|
| 16 |
+
"torch_dtype": "float32",
|
| 17 |
+
"transformers_version": "4.46.0"
|
| 18 |
+
}
|
sample_rate=0.10/checkpoint-20800/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 127238056
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sample_rate=0.10/checkpoint-20800/optimizer.pt
ADDED
|
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size 54627194
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sample_rate=0.10/checkpoint-20800/rng_state.pth
ADDED
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size 14180
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sample_rate=0.10/checkpoint-20800/scheduler.pt
ADDED
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ADDED
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The diff for this file is too large to render.
See raw diff
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ADDED
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training_args.bin
CHANGED
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