Instructions to use Arthur-Tsai/histv4_ftis_pretrain_tssp-smlm_0329 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/histv4_ftis_pretrain_tssp-smlm_0329 with Transformers:
# Load model directly from transformers import HiSenTrans model = HiSenTrans.from_pretrained("Arthur-Tsai/histv4_ftis_pretrain_tssp-smlm_0329", dtype="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +132 -233
- model.safetensors +1 -1
- runs/0-sample_rate=1.0/events.out.tfevents.1743435435.ana2.1612913.1 +3 -0
README.md
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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -44,241 +44,140 @@ The following hyperparameters were used during training:
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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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| 0.2791 | 188.0001 | 12800 | 1.6554 | 0.8638 | 0.6848 |
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| 0.2753 | 189.0004 | 12900 | 1.5796 | 0.8674 | 0.6844 |
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| 0.2753 | 191.0001 | 13000 | 1.6561 | 0.8665 | 0.6847 |
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| 0.2757 | 192.0003 | 13100 | 1.5725 | 0.8691 | 0.6885 |
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| 0.2715 | 194.0001 | 13200 | 1.6434 | 0.8690 | 0.6917 |
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| 0.2743 | 195.0003 | 13300 | 1.6730 | 0.8696 | 0.6889 |
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| 0.2685 | 197.0000 | 13400 | 1.5647 | 0.8695 | 0.6848 |
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| 0.2697 | 198.0003 | 13500 | 1.5948 | 0.8686 | 0.6880 |
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| 0.2794 | 199.0005 | 13600 | 1.5314 | 0.8673 | 0.6841 |
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| 0.2706 | 201.0002 | 13700 | 1.6055 | 0.8679 | 0.6886 |
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| 0.266 | 202.0005 | 13800 | 1.5865 | 0.8692 | 0.6932 |
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| 0.2689 | 204.0002 | 13900 | 1.6282 | 0.8688 | 0.6869 |
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| 0.2674 | 205.0004 | 14000 | 1.5943 | 0.8685 | 0.6874 |
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| 0.27 | 207.0002 | 14100 | 1.6560 | 0.8677 | 0.6895 |
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| 0.264 | 208.0004 | 14200 | 1.7276 | 0.8624 | 0.6788 |
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| 0.2613 | 210.0001 | 14300 | 1.6798 | 0.8738 | 0.6871 |
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| 0.2623 | 211.0004 | 14400 | 1.5849 | 0.8712 | 0.6891 |
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| 0.2665 | 213.0001 | 14500 | 1.6706 | 0.8664 | 0.6868 |
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| 0.2624 | 214.0004 | 14600 | 1.6687 | 0.8698 | 0.6905 |
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| 0.2579 | 216.0001 | 14700 | 1.5432 | 0.8698 | 0.6934 |
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| 0.2672 | 217.0003 | 14800 | 1.6244 | 0.8655 | 0.6922 |
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| 0.2673 | 219.0001 | 14900 | 1.5026 | 0.8725 | 0.6950 |
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| 0.2657 | 220.0003 | 15000 | 1.6586 | 0.8727 | 0.6918 |
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| 0.2598 | 222.0000 | 15100 | 1.6447 | 0.8727 | 0.6933 |
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| 0.2621 | 223.0003 | 15200 | 1.6158 | 0.8728 | 0.6933 |
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| 0.256 | 224.0005 | 15300 | 1.7035 | 0.8689 | 0.6918 |
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| 0.2578 | 226.0002 | 15400 | 1.5341 | 0.8719 | 0.6948 |
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| 0.2552 | 227.0005 | 15500 | 1.6572 | 0.8703 | 0.6918 |
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| 0.2551 | 229.0002 | 15600 | 1.6068 | 0.8718 | 0.6934 |
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| 0.263 | 230.0004 | 15700 | 1.7440 | 0.8718 | 0.6940 |
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| 0.2567 | 232.0002 | 15800 | 1.5865 | 0.8709 | 0.6954 |
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| 0.2538 | 233.0004 | 15900 | 1.6325 | 0.8691 | 0.6933 |
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| 0.2534 | 235.0001 | 16000 | 1.5723 | 0.8693 | 0.6930 |
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| 0.254 | 236.0004 | 16100 | 1.6220 | 0.8703 | 0.6946 |
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| 0.2509 | 238.0001 | 16200 | 1.7125 | 0.8702 | 0.6885 |
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| 0.2513 | 239.0004 | 16300 | 1.7017 | 0.8709 | 0.6957 |
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| 0.2567 | 241.0001 | 16400 | 1.6581 | 0.8710 | 0.6996 |
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| 0.2579 | 242.0003 | 16500 | 1.6368 | 0.8703 | 0.6962 |
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| 0.2665 | 244.0001 | 16600 | 1.5685 | 0.8659 | 0.6928 |
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| 0.2625 | 245.0003 | 16700 | 1.6895 | 0.8724 | 0.6972 |
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| 0.2539 | 247.0000 | 16800 | 1.5884 | 0.8696 | 0.6958 |
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| 0.252 | 248.0003 | 16900 | 1.6708 | 0.8731 | 0.6944 |
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| 0.2476 | 249.0005 | 17000 | 1.6286 | 0.8729 | 0.6983 |
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| 0.2486 | 251.0002 | 17100 | 1.6925 | 0.8751 | 0.6943 |
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| 0.2503 | 252.0005 | 17200 | 1.5907 | 0.8755 | 0.6992 |
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| 0.2489 | 254.0002 | 17300 | 1.7195 | 0.8715 | 0.6970 |
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| 0.2457 | 255.0004 | 17400 | 1.6367 | 0.8765 | 0.6995 |
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| 0.2517 | 257.0002 | 17500 | 1.7663 | 0.8649 | 0.6946 |
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| 0.2414 | 258.0004 | 17600 | 1.6841 | 0.8766 | 0.7006 |
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| 0.2462 | 260.0001 | 17700 | 1.6303 | 0.8748 | 0.7017 |
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| 0.2433 | 261.0004 | 17800 | 1.6469 | 0.8727 | 0.6942 |
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| 0.2461 | 263.0001 | 17900 | 1.6379 | 0.8717 | 0.6962 |
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| 0.245 | 264.0004 | 18000 | 1.6443 | 0.8724 | 0.6975 |
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| 0.2463 | 266.0001 | 18100 | 1.6377 | 0.8761 | 0.7015 |
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| 0.2433 | 267.0003 | 18200 | 1.7548 | 0.8707 | 0.6976 |
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| 0.2398 | 269.0001 | 18300 | 1.5549 | 0.8749 | 0.6991 |
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| 0.242 | 270.0003 | 18400 | 1.6925 | 0.8761 | 0.7021 |
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| 0.2429 | 272.0000 | 18500 | 1.7503 | 0.8728 | 0.6992 |
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| 0.2428 | 273.0003 | 18600 | 1.6138 | 0.8748 | 0.7017 |
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| 0.2442 | 274.0005 | 18700 | 1.5828 | 0.8755 | 0.7033 |
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| 0.25 | 276.0002 | 18800 | 1.7209 | 0.8717 | 0.6960 |
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| 0.2441 | 277.0005 | 18900 | 1.6307 | 0.8765 | 0.7056 |
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| 0.2414 | 279.0002 | 19000 | 1.6609 | 0.8761 | 0.7029 |
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| 0.2371 | 280.0004 | 19100 | 1.7170 | 0.8741 | 0.7019 |
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| 0.2385 | 282.0002 | 19200 | 1.7016 | 0.8744 | 0.7018 |
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| 0.2385 | 283.0004 | 19300 | 1.6805 | 0.8741 | 0.7021 |
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| 0.2422 | 285.0001 | 19400 | 1.7424 | 0.8719 | 0.6973 |
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| 0.2403 | 286.0004 | 19500 | 1.7255 | 0.8725 | 0.6975 |
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| 0.2439 | 288.0001 | 19600 | 1.7645 | 0.8719 | 0.6959 |
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| 0.2414 | 289.0004 | 19700 | 1.7827 | 0.8757 | 0.7025 |
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| 0.2403 | 291.0001 | 19800 | 1.5922 | 0.8786 | 0.7042 |
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| 0.233 | 292.0003 | 19900 | 1.8774 | 0.8749 | 0.6993 |
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| 0.2357 | 294.0001 | 20000 | 1.6462 | 0.8756 | 0.6989 |
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| 0.2468 | 295.0003 | 20100 | 1.6571 | 0.8753 | 0.7041 |
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| 0.236 | 297.0000 | 20200 | 1.6926 | 0.8752 | 0.6999 |
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| 0.2341 | 298.0003 | 20300 | 1.7504 | 0.8770 | 0.7051 |
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| 0.2359 | 299.0005 | 20400 | 1.6860 | 0.8764 | 0.7001 |
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| 0.2377 | 301.0002 | 20500 | 1.6689 | 0.8746 | 0.6998 |
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| 0.2336 | 302.0005 | 20600 | 1.6257 | 0.8787 | 0.7081 |
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| 0.2329 | 304.0002 | 20700 | 1.6803 | 0.8759 | 0.7018 |
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| 0.236 | 305.0004 | 20800 | 1.7152 | 0.8783 | 0.7088 |
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| 0.2379 | 307.0002 | 20900 | 1.5757 | 0.8736 | 0.7013 |
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| 0.2394 | 308.0004 | 21000 | 1.7066 | 0.8751 | 0.7040 |
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| 0.2363 | 310.0001 | 21100 | 1.7033 | 0.8803 | 0.7075 |
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| 0.2428 | 311.0004 | 21200 | 1.6994 | 0.8762 | 0.6980 |
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| 0.2371 | 313.0001 | 21300 | 1.7504 | 0.8715 | 0.7021 |
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| 0.2293 | 314.0004 | 21400 | 1.6403 | 0.8751 | 0.7059 |
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| 0.2334 | 316.0001 | 21500 | 1.5695 | 0.8773 | 0.7026 |
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| 0.2306 | 317.0003 | 21600 | 1.7150 | 0.8767 | 0.7070 |
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| 0.236 | 319.0001 | 21700 | 1.5758 | 0.8797 | 0.7065 |
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| 0.2327 | 320.0003 | 21800 | 1.8039 | 0.8766 | 0.7069 |
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| 0.2327 | 322.0000 | 21900 | 1.7379 | 0.8748 | 0.7044 |
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| 0.2322 | 323.0003 | 22000 | 1.6924 | 0.8750 | 0.7028 |
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| 0.2348 | 324.0005 | 22100 | 1.6629 | 0.8749 | 0.7059 |
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| 0.2318 | 326.0002 | 22200 | 1.7193 | 0.8753 | 0.7054 |
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| 0.2308 | 327.0005 | 22300 | 1.7255 | 0.8752 | 0.7033 |
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| 0.2294 | 329.0002 | 22400 | 1.7101 | 0.8773 | 0.7029 |
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| 0.2292 | 330.0004 | 22500 | 1.7855 | 0.8745 | 0.7036 |
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| 0.2304 | 332.0002 | 22600 | 1.7470 | 0.8733 | 0.6953 |
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| 0.2359 | 333.0004 | 22700 | 1.6935 | 0.8764 | 0.7015 |
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| 0.2287 | 335.0001 | 22800 | 1.6621 | 0.8769 | 0.7041 |
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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: 0.6648
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- Accuracy: 0.9701
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- Macro F1: 0.9279
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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: 6733
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- training_steps: 134675
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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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| 6.1814 | 0.0050 | 673 | 5.5662 | 0.5889 | 0.1547 |
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| 3.493 | 1.0050 | 1346 | 2.8356 | 0.6560 | 0.2007 |
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| 2.2738 | 2.0050 | 2019 | 2.0311 | 0.7206 | 0.2727 |
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| 1.8894 | 3.0050 | 2692 | 1.6718 | 0.7628 | 0.3672 |
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| 1.5981 | 4.0050 | 3365 | 1.4073 | 0.8069 | 0.4541 |
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| 1.4813 | 5.0050 | 4038 | 1.2843 | 0.8245 | 0.5214 |
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| 1.2253 | 6.0050 | 4711 | 1.0820 | 0.8590 | 0.5802 |
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| 1.1132 | 7.0049 | 5384 | 1.0108 | 0.8738 | 0.6193 |
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| 1.0131 | 8.0049 | 6057 | 0.9750 | 0.8674 | 0.6359 |
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| 0.924 | 9.0049 | 6730 | 0.8751 | 0.8956 | 0.6899 |
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| 0.8099 | 10.0049 | 7403 | 0.7859 | 0.9042 | 0.6947 |
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| 0.7125 | 11.0049 | 8076 | 0.7251 | 0.9188 | 0.7355 |
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| 0.7119 | 12.0049 | 8749 | 0.6956 | 0.9247 | 0.7625 |
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| 0.657 | 13.0049 | 9422 | 0.6414 | 0.9327 | 0.7860 |
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| 0.6067 | 14.0049 | 10095 | 0.6120 | 0.9409 | 0.8006 |
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| 0.6006 | 15.0049 | 10768 | 0.5977 | 0.9408 | 0.8023 |
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| 0.5399 | 16.0049 | 11441 | 0.6003 | 0.9448 | 0.8254 |
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| 0.4939 | 17.0049 | 12114 | 0.6105 | 0.9439 | 0.8215 |
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| 0.5075 | 18.0049 | 12787 | 0.5745 | 0.9483 | 0.8326 |
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| 0.4736 | 19.0049 | 13460 | 0.5954 | 0.9501 | 0.8352 |
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| 0.4643 | 20.0048 | 14133 | 0.5645 | 0.9522 | 0.8460 |
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| 0.4683 | 21.0048 | 14806 | 0.5745 | 0.9518 | 0.8533 |
|
| 76 |
+
| 0.4654 | 22.0048 | 15479 | 0.5191 | 0.9573 | 0.8671 |
|
| 77 |
+
| 0.4271 | 23.0048 | 16152 | 0.5669 | 0.9539 | 0.8525 |
|
| 78 |
+
| 0.408 | 24.0048 | 16825 | 0.5903 | 0.9567 | 0.8668 |
|
| 79 |
+
| 0.3991 | 25.0048 | 17498 | 0.5830 | 0.9580 | 0.8776 |
|
| 80 |
+
| 0.3606 | 26.0048 | 18171 | 0.5854 | 0.9571 | 0.8759 |
|
| 81 |
+
| 0.3948 | 27.0048 | 18844 | 0.5952 | 0.9583 | 0.8769 |
|
| 82 |
+
| 0.3691 | 28.0048 | 19517 | 0.6049 | 0.9546 | 0.8726 |
|
| 83 |
+
| 0.3651 | 29.0048 | 20190 | 0.6013 | 0.9597 | 0.8870 |
|
| 84 |
+
| 0.3589 | 30.0048 | 20863 | 0.5842 | 0.9585 | 0.8801 |
|
| 85 |
+
| 0.3601 | 31.0048 | 21536 | 0.5945 | 0.9593 | 0.8886 |
|
| 86 |
+
| 0.3502 | 32.0048 | 22209 | 0.5607 | 0.9620 | 0.8935 |
|
| 87 |
+
| 0.3693 | 33.0048 | 22882 | 0.6231 | 0.9635 | 0.8874 |
|
| 88 |
+
| 0.3292 | 34.0047 | 23555 | 0.5569 | 0.9626 | 0.8892 |
|
| 89 |
+
| 0.3451 | 35.0047 | 24228 | 0.5738 | 0.9652 | 0.8999 |
|
| 90 |
+
| 0.3247 | 36.0047 | 24901 | 0.5274 | 0.9646 | 0.8876 |
|
| 91 |
+
| 0.3214 | 37.0047 | 25574 | 0.5932 | 0.9639 | 0.8955 |
|
| 92 |
+
| 0.3111 | 38.0047 | 26247 | 0.6105 | 0.9623 | 0.8991 |
|
| 93 |
+
| 0.326 | 39.0047 | 26920 | 0.5824 | 0.9643 | 0.8998 |
|
| 94 |
+
| 0.3243 | 40.0047 | 27593 | 0.6213 | 0.9633 | 0.9029 |
|
| 95 |
+
| 0.3068 | 41.0047 | 28266 | 0.5972 | 0.9647 | 0.9026 |
|
| 96 |
+
| 0.3022 | 42.0047 | 28939 | 0.5485 | 0.9660 | 0.9091 |
|
| 97 |
+
| 0.3055 | 43.0047 | 29612 | 0.5928 | 0.9667 | 0.8992 |
|
| 98 |
+
| 0.2979 | 44.0047 | 30285 | 0.6059 | 0.9645 | 0.9037 |
|
| 99 |
+
| 0.301 | 45.0047 | 30958 | 0.5866 | 0.9661 | 0.9073 |
|
| 100 |
+
| 0.3043 | 46.0047 | 31631 | 0.6022 | 0.9644 | 0.9019 |
|
| 101 |
+
| 0.2982 | 47.0046 | 32304 | 0.5707 | 0.9675 | 0.9077 |
|
| 102 |
+
| 0.2852 | 48.0046 | 32977 | 0.6089 | 0.9632 | 0.9036 |
|
| 103 |
+
| 0.2967 | 49.0046 | 33650 | 0.6050 | 0.9657 | 0.8864 |
|
| 104 |
+
| 0.297 | 50.0046 | 34323 | 0.6383 | 0.9638 | 0.9099 |
|
| 105 |
+
| 0.2865 | 51.0046 | 34996 | 0.6180 | 0.9669 | 0.9101 |
|
| 106 |
+
| 0.2992 | 52.0046 | 35669 | 0.5531 | 0.9645 | 0.9085 |
|
| 107 |
+
| 0.2805 | 53.0046 | 36342 | 0.6031 | 0.9661 | 0.9055 |
|
| 108 |
+
| 0.2839 | 54.0046 | 37015 | 0.6427 | 0.9639 | 0.9068 |
|
| 109 |
+
| 0.2754 | 55.0046 | 37688 | 0.6178 | 0.9679 | 0.9135 |
|
| 110 |
+
| 0.2818 | 56.0046 | 38361 | 0.6087 | 0.9667 | 0.9143 |
|
| 111 |
+
| 0.2719 | 57.0046 | 39034 | 0.6322 | 0.9670 | 0.9051 |
|
| 112 |
+
| 0.2768 | 58.0046 | 39707 | 0.6345 | 0.9677 | 0.9157 |
|
| 113 |
+
| 0.2709 | 59.0046 | 40380 | 0.5874 | 0.9699 | 0.9189 |
|
| 114 |
+
| 0.2836 | 60.0046 | 41053 | 0.5807 | 0.9685 | 0.9195 |
|
| 115 |
+
| 0.2708 | 61.0045 | 41726 | 0.5494 | 0.9703 | 0.9196 |
|
| 116 |
+
| 0.2669 | 62.0045 | 42399 | 0.6052 | 0.9665 | 0.9137 |
|
| 117 |
+
| 0.2701 | 63.0045 | 43072 | 0.6167 | 0.9646 | 0.9113 |
|
| 118 |
+
| 0.2659 | 64.0045 | 43745 | 0.5991 | 0.9689 | 0.9155 |
|
| 119 |
+
| 0.2598 | 65.0045 | 44418 | 0.5505 | 0.9700 | 0.9157 |
|
| 120 |
+
| 0.2701 | 66.0045 | 45091 | 0.5899 | 0.9688 | 0.9194 |
|
| 121 |
+
| 0.2757 | 67.0045 | 45764 | 0.6226 | 0.9680 | 0.9167 |
|
| 122 |
+
| 0.2728 | 68.0045 | 46437 | 0.5976 | 0.9677 | 0.9174 |
|
| 123 |
+
| 0.2661 | 69.0045 | 47110 | 0.6157 | 0.9667 | 0.8972 |
|
| 124 |
+
| 0.2646 | 70.0045 | 47783 | 0.6418 | 0.9657 | 0.9163 |
|
| 125 |
+
| 0.2621 | 71.0045 | 48456 | 0.6507 | 0.9692 | 0.9189 |
|
| 126 |
+
| 0.2628 | 72.0045 | 49129 | 0.6470 | 0.9660 | 0.9151 |
|
| 127 |
+
| 0.2652 | 73.0045 | 49802 | 0.6170 | 0.9668 | 0.9205 |
|
| 128 |
+
| 0.2604 | 74.0044 | 50475 | 0.6195 | 0.9697 | 0.9175 |
|
| 129 |
+
| 0.2547 | 75.0044 | 51148 | 0.5727 | 0.9683 | 0.9215 |
|
| 130 |
+
| 0.2639 | 76.0044 | 51821 | 0.6014 | 0.9694 | 0.9207 |
|
| 131 |
+
| 0.2539 | 77.0044 | 52494 | 0.6089 | 0.9686 | 0.9161 |
|
| 132 |
+
| 0.2586 | 78.0044 | 53167 | 0.6274 | 0.9688 | 0.9185 |
|
| 133 |
+
| 0.258 | 79.0044 | 53840 | 0.6107 | 0.9694 | 0.9234 |
|
| 134 |
+
| 0.2513 | 80.0044 | 54513 | 0.5746 | 0.9708 | 0.9223 |
|
| 135 |
+
| 0.2593 | 81.0044 | 55186 | 0.5986 | 0.9686 | 0.9236 |
|
| 136 |
+
| 0.2556 | 82.0044 | 55859 | 0.6483 | 0.9670 | 0.9232 |
|
| 137 |
+
| 0.2542 | 83.0044 | 56532 | 0.6052 | 0.9666 | 0.9201 |
|
| 138 |
+
| 0.2543 | 84.0044 | 57205 | 0.6558 | 0.9684 | 0.9230 |
|
| 139 |
+
| 0.2541 | 85.0044 | 57878 | 0.6251 | 0.9669 | 0.9206 |
|
| 140 |
+
| 0.2459 | 86.0044 | 58551 | 0.5984 | 0.9692 | 0.9224 |
|
| 141 |
+
| 0.247 | 87.0044 | 59224 | 0.6171 | 0.9693 | 0.9261 |
|
| 142 |
+
| 0.2477 | 88.0043 | 59897 | 0.6986 | 0.9679 | 0.9229 |
|
| 143 |
+
| 0.2476 | 89.0043 | 60570 | 0.7201 | 0.9691 | 0.9246 |
|
| 144 |
+
| 0.2447 | 90.0043 | 61243 | 0.6508 | 0.9693 | 0.9275 |
|
| 145 |
+
| 0.2441 | 91.0043 | 61916 | 0.6397 | 0.9672 | 0.9204 |
|
| 146 |
+
| 0.2446 | 92.0043 | 62589 | 0.6003 | 0.9683 | 0.9230 |
|
| 147 |
+
| 0.2479 | 93.0043 | 63262 | 0.5893 | 0.9704 | 0.9240 |
|
| 148 |
+
| 0.2508 | 94.0043 | 63935 | 0.5721 | 0.9689 | 0.9296 |
|
| 149 |
+
| 0.2429 | 95.0043 | 64608 | 0.6701 | 0.9704 | 0.9291 |
|
| 150 |
+
| 0.2415 | 96.0043 | 65281 | 0.5967 | 0.9695 | 0.9262 |
|
| 151 |
+
| 0.245 | 97.0043 | 65954 | 0.6655 | 0.9711 | 0.9277 |
|
| 152 |
+
| 0.2415 | 98.0043 | 66627 | 0.5518 | 0.9692 | 0.9240 |
|
| 153 |
+
| 0.2414 | 99.0043 | 67300 | 0.6633 | 0.9691 | 0.9257 |
|
| 154 |
+
| 0.2456 | 100.0043 | 67973 | 0.6249 | 0.9707 | 0.9305 |
|
| 155 |
+
| 0.2386 | 101.0042 | 68646 | 0.5712 | 0.9699 | 0.9274 |
|
| 156 |
+
| 0.2428 | 102.0042 | 69319 | 0.6618 | 0.9702 | 0.9296 |
|
| 157 |
+
| 0.242 | 103.0042 | 69992 | 0.5995 | 0.9685 | 0.9248 |
|
| 158 |
+
| 0.2353 | 104.0042 | 70665 | 0.6375 | 0.9706 | 0.9271 |
|
| 159 |
+
| 0.242 | 105.0042 | 71338 | 0.6279 | 0.9710 | 0.9265 |
|
| 160 |
+
| 0.2388 | 106.0042 | 72011 | 0.6067 | 0.9708 | 0.9346 |
|
| 161 |
+
| 0.2375 | 107.0042 | 72684 | 0.6514 | 0.9713 | 0.9297 |
|
| 162 |
+
| 0.2378 | 108.0042 | 73357 | 0.6535 | 0.9699 | 0.9246 |
|
| 163 |
+
| 0.2341 | 109.0042 | 74030 | 0.6010 | 0.9710 | 0.9053 |
|
| 164 |
+
| 0.2383 | 110.0042 | 74703 | 0.6420 | 0.9692 | 0.9271 |
|
| 165 |
+
| 0.2418 | 111.0042 | 75376 | 0.5911 | 0.9724 | 0.9336 |
|
| 166 |
+
| 0.2366 | 112.0042 | 76049 | 0.6536 | 0.9706 | 0.9234 |
|
| 167 |
+
| 0.2388 | 113.0042 | 76722 | 0.6341 | 0.9693 | 0.9238 |
|
| 168 |
+
| 0.2365 | 114.0042 | 77395 | 0.6533 | 0.9703 | 0.9260 |
|
| 169 |
+
| 0.2346 | 115.0041 | 78068 | 0.5889 | 0.9712 | 0.9324 |
|
| 170 |
+
| 0.2371 | 116.0041 | 78741 | 0.6251 | 0.9706 | 0.9295 |
|
| 171 |
+
| 0.2367 | 117.0041 | 79414 | 0.5921 | 0.9706 | 0.9284 |
|
| 172 |
+
| 0.2405 | 118.0041 | 80087 | 0.5847 | 0.9695 | 0.9314 |
|
| 173 |
+
| 0.2357 | 119.0041 | 80760 | 0.6325 | 0.9706 | 0.9259 |
|
| 174 |
+
| 0.2347 | 120.0041 | 81433 | 0.6381 | 0.9710 | 0.9276 |
|
| 175 |
+
| 0.2369 | 121.0041 | 82106 | 0.6613 | 0.9696 | 0.9274 |
|
| 176 |
+
| 0.2388 | 122.0041 | 82779 | 0.6684 | 0.9719 | 0.9309 |
|
| 177 |
+
| 0.2327 | 123.0041 | 83452 | 0.6534 | 0.9703 | 0.9251 |
|
| 178 |
+
| 0.2353 | 124.0041 | 84125 | 0.6549 | 0.9724 | 0.9321 |
|
| 179 |
+
| 0.237 | 125.0041 | 84798 | 0.6008 | 0.9720 | 0.9334 |
|
| 180 |
+
| 0.2353 | 126.0041 | 85471 | 0.6333 | 0.9706 | 0.9288 |
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
| 181 |
|
| 182 |
|
| 183 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 127238056
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b5b8851b1ef0cbb19782fdc61f6144c51ce6b004af2447b4ec31bdc9a439bc0
|
| 3 |
size 127238056
|
runs/0-sample_rate=1.0/events.out.tfevents.1743435435.ana2.1612913.1
ADDED
|
@@ -0,0 +1,3 @@
|
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|
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|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f87930535e9ce2895dd130bdc1930257f7a1afa29575e0dd4ae7951e27d05dcd
|
| 3 |
+
size 470
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