Instructions to use Arthur-Tsai/histv4_ftis_pretrain_smlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/histv4_ftis_pretrain_smlm with Transformers:
# Load model directly from transformers import HiSenTrans model = HiSenTrans.from_pretrained("Arthur-Tsai/histv4_ftis_pretrain_smlm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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| 1 |
+
---
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| 2 |
+
library_name: transformers
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| 3 |
+
base_model: Arthur-Tsai/histv4_pretrain_tssp-smlm
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| 4 |
+
tags:
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| 5 |
+
- generated_from_trainer
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| 6 |
+
metrics:
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| 7 |
+
- accuracy
|
| 8 |
+
model-index:
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| 9 |
+
- name: histv4_ftis_pretrain_smlm
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| 10 |
+
results: []
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| 11 |
+
---
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| 12 |
+
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| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
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| 15 |
+
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| 16 |
+
# histv4_ftis_pretrain_smlm
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| 17 |
+
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| 18 |
+
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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| 19 |
+
It achieves the following results on the evaluation set:
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| 20 |
+
- Loss: 0.7913
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| 21 |
+
- Accuracy: 0.9368
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| 22 |
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- Macro F1: 0.8335
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| 23 |
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| 24 |
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## Model description
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| 26 |
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More information needed
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| 27 |
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| 28 |
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## Intended uses & limitations
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| 29 |
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| 30 |
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More information needed
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| 31 |
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| 32 |
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## Training and evaluation data
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| 33 |
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| 34 |
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More information needed
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| 35 |
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| 36 |
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## Training procedure
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| 37 |
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| 38 |
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 4
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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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| 47 |
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- lr_scheduler_warmup_steps: 6731
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| 48 |
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- training_steps: 134625
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| 49 |
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| 50 |
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### Training results
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| 51 |
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| 52 |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
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| 53 |
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|:-------------:|:--------:|:-----:|:---------------:|:--------:|:--------:|
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| 54 |
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| 44.8484 | 0.0010 | 134 | 30.0176 | 0.0226 | 0.0162 |
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| 55 |
+
| 17.5559 | 1.0010 | 268 | 10.0813 | 0.1219 | 0.0405 |
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| 56 |
+
| 7.5012 | 2.0010 | 402 | 6.9073 | 0.4843 | 0.1198 |
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| 57 |
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| 6.1516 | 3.0010 | 536 | 5.4805 | 0.5540 | 0.1446 |
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| 58 |
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| 5.3054 | 4.0010 | 670 | 5.1046 | 0.5872 | 0.1617 |
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| 59 |
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| 4.7745 | 5.0010 | 804 | 4.2313 | 0.6081 | 0.1691 |
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| 60 |
+
| 4.3581 | 6.0010 | 938 | 3.5554 | 0.6201 | 0.1819 |
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| 61 |
+
| 3.8776 | 7.0009 | 1072 | 3.0887 | 0.6313 | 0.1936 |
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| 62 |
+
| 3.2688 | 8.0009 | 1206 | 2.7245 | 0.6369 | 0.1888 |
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| 63 |
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| 3.0798 | 9.0009 | 1340 | 2.3943 | 0.6464 | 0.1978 |
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| 64 |
+
| 2.7172 | 10.0009 | 1474 | 2.2284 | 0.6636 | 0.2125 |
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| 65 |
+
| 2.4796 | 11.0009 | 1608 | 2.1157 | 0.6778 | 0.2274 |
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| 66 |
+
| 2.3686 | 12.0009 | 1742 | 1.9722 | 0.6951 | 0.2416 |
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| 67 |
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| 2.2146 | 13.0009 | 1876 | 1.8875 | 0.7052 | 0.2603 |
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| 68 |
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| 2.0057 | 14.0009 | 2010 | 1.8571 | 0.7200 | 0.2800 |
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| 69 |
+
| 1.9896 | 15.0009 | 2144 | 1.7652 | 0.7251 | 0.3001 |
|
| 70 |
+
| 2.0491 | 16.0009 | 2278 | 1.6713 | 0.7310 | 0.3092 |
|
| 71 |
+
| 1.817 | 17.0009 | 2412 | 1.6615 | 0.7448 | 0.3359 |
|
| 72 |
+
| 1.7796 | 18.0009 | 2546 | 1.6597 | 0.7356 | 0.3498 |
|
| 73 |
+
| 1.772 | 19.0009 | 2680 | 1.5127 | 0.7539 | 0.3852 |
|
| 74 |
+
| 1.5402 | 20.0008 | 2814 | 1.5287 | 0.7523 | 0.3879 |
|
| 75 |
+
| 1.5846 | 21.0008 | 2948 | 1.5452 | 0.7582 | 0.3988 |
|
| 76 |
+
| 1.4547 | 22.0008 | 3082 | 1.4285 | 0.7771 | 0.4327 |
|
| 77 |
+
| 1.4157 | 23.0008 | 3216 | 1.4671 | 0.7720 | 0.4266 |
|
| 78 |
+
| 1.2873 | 24.0008 | 3350 | 1.4355 | 0.7907 | 0.4508 |
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| 79 |
+
| 1.3378 | 25.0008 | 3484 | 1.3620 | 0.7890 | 0.4632 |
|
| 80 |
+
| 1.2115 | 26.0008 | 3618 | 1.2835 | 0.8037 | 0.4788 |
|
| 81 |
+
| 1.1971 | 27.0008 | 3752 | 1.2582 | 0.7967 | 0.4796 |
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| 82 |
+
| 1.1489 | 28.0008 | 3886 | 1.2354 | 0.8132 | 0.5002 |
|
| 83 |
+
| 1.0492 | 29.0008 | 4020 | 1.2039 | 0.8148 | 0.5071 |
|
| 84 |
+
| 0.9973 | 30.0008 | 4154 | 1.1336 | 0.8200 | 0.5199 |
|
| 85 |
+
| 0.9666 | 31.0008 | 4288 | 1.1866 | 0.8194 | 0.5158 |
|
| 86 |
+
| 0.9414 | 32.0008 | 4422 | 1.1172 | 0.8297 | 0.5345 |
|
| 87 |
+
| 0.8808 | 33.0008 | 4556 | 1.1152 | 0.8288 | 0.5514 |
|
| 88 |
+
| 0.9341 | 34.0007 | 4690 | 1.0733 | 0.8324 | 0.5516 |
|
| 89 |
+
| 0.8415 | 35.0007 | 4824 | 1.1179 | 0.8387 | 0.5673 |
|
| 90 |
+
| 0.8441 | 36.0007 | 4958 | 1.0846 | 0.8367 | 0.5757 |
|
| 91 |
+
| 0.774 | 37.0007 | 5092 | 1.0677 | 0.8403 | 0.5810 |
|
| 92 |
+
| 0.7711 | 38.0007 | 5226 | 0.9100 | 0.8559 | 0.5975 |
|
| 93 |
+
| 0.7389 | 39.0007 | 5360 | 1.0080 | 0.8509 | 0.5996 |
|
| 94 |
+
| 0.6437 | 40.0007 | 5494 | 1.0045 | 0.8511 | 0.6056 |
|
| 95 |
+
| 0.6355 | 41.0007 | 5628 | 0.9236 | 0.8606 | 0.6104 |
|
| 96 |
+
| 0.6059 | 42.0007 | 5762 | 0.9791 | 0.8579 | 0.6157 |
|
| 97 |
+
| 0.592 | 43.0007 | 5896 | 1.0100 | 0.8497 | 0.6158 |
|
| 98 |
+
| 0.5995 | 44.0007 | 6030 | 1.0202 | 0.8639 | 0.6344 |
|
| 99 |
+
| 0.5294 | 45.0007 | 6164 | 0.9581 | 0.8689 | 0.6335 |
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| 100 |
+
| 0.5369 | 46.0007 | 6298 | 0.9047 | 0.8690 | 0.6419 |
|
| 101 |
+
| 0.5027 | 47.0006 | 6432 | 0.9925 | 0.8625 | 0.6413 |
|
| 102 |
+
| 0.5161 | 48.0006 | 6566 | 0.9489 | 0.8717 | 0.6407 |
|
| 103 |
+
| 0.4801 | 49.0006 | 6700 | 0.9368 | 0.8721 | 0.6576 |
|
| 104 |
+
| 0.4384 | 50.0006 | 6834 | 0.9248 | 0.8748 | 0.6534 |
|
| 105 |
+
| 0.4407 | 51.0006 | 6968 | 0.9682 | 0.8715 | 0.6666 |
|
| 106 |
+
| 0.4192 | 52.0006 | 7102 | 1.0258 | 0.8683 | 0.6577 |
|
| 107 |
+
| 0.4348 | 53.0006 | 7236 | 0.9409 | 0.8621 | 0.6622 |
|
| 108 |
+
| 0.3864 | 54.0006 | 7370 | 0.8708 | 0.8838 | 0.6785 |
|
| 109 |
+
| 0.3787 | 55.0006 | 7504 | 0.8532 | 0.8849 | 0.6781 |
|
| 110 |
+
| 0.3832 | 56.0006 | 7638 | 0.8974 | 0.8817 | 0.6815 |
|
| 111 |
+
| 0.3416 | 57.0006 | 7772 | 0.8581 | 0.8844 | 0.6971 |
|
| 112 |
+
| 0.3405 | 58.0006 | 7906 | 0.8581 | 0.8835 | 0.6940 |
|
| 113 |
+
| 0.3429 | 59.0006 | 8040 | 0.8225 | 0.8941 | 0.6977 |
|
| 114 |
+
| 0.2861 | 60.0005 | 8174 | 0.8878 | 0.8855 | 0.6958 |
|
| 115 |
+
| 0.2991 | 61.0005 | 8308 | 0.8213 | 0.8897 | 0.6939 |
|
| 116 |
+
| 0.2929 | 62.0005 | 8442 | 0.8754 | 0.8865 | 0.6994 |
|
| 117 |
+
| 0.2865 | 63.0005 | 8576 | 0.8194 | 0.8942 | 0.7099 |
|
| 118 |
+
| 0.2685 | 64.0005 | 8710 | 0.8292 | 0.8954 | 0.7102 |
|
| 119 |
+
| 0.2812 | 65.0005 | 8844 | 0.8553 | 0.8994 | 0.7216 |
|
| 120 |
+
| 0.2449 | 66.0005 | 8978 | 0.8023 | 0.8992 | 0.7218 |
|
| 121 |
+
| 0.2474 | 67.0005 | 9112 | 0.8813 | 0.8969 | 0.7069 |
|
| 122 |
+
| 0.2543 | 68.0005 | 9246 | 0.8152 | 0.8976 | 0.7127 |
|
| 123 |
+
| 0.2465 | 69.0005 | 9380 | 0.8542 | 0.9022 | 0.7204 |
|
| 124 |
+
| 0.224 | 70.0005 | 9514 | 0.7741 | 0.9044 | 0.7320 |
|
| 125 |
+
| 0.2519 | 71.0005 | 9648 | 0.8304 | 0.9039 | 0.7263 |
|
| 126 |
+
| 0.23 | 72.0005 | 9782 | 0.7772 | 0.9059 | 0.7359 |
|
| 127 |
+
| 0.2026 | 73.0005 | 9916 | 0.7572 | 0.9080 | 0.7372 |
|
| 128 |
+
| 0.2006 | 74.0004 | 10050 | 0.7470 | 0.9043 | 0.7303 |
|
| 129 |
+
| 0.2159 | 75.0004 | 10184 | 0.8032 | 0.9027 | 0.7416 |
|
| 130 |
+
| 0.1977 | 76.0004 | 10318 | 0.7951 | 0.9058 | 0.7393 |
|
| 131 |
+
| 0.1872 | 77.0004 | 10452 | 0.8169 | 0.9080 | 0.7363 |
|
| 132 |
+
| 0.1915 | 78.0004 | 10586 | 0.7826 | 0.9036 | 0.7398 |
|
| 133 |
+
| 0.1834 | 79.0004 | 10720 | 0.8447 | 0.9104 | 0.7406 |
|
| 134 |
+
| 0.1862 | 80.0004 | 10854 | 0.7559 | 0.9129 | 0.7499 |
|
| 135 |
+
| 0.1808 | 81.0004 | 10988 | 0.7585 | 0.9090 | 0.7483 |
|
| 136 |
+
| 0.167 | 82.0004 | 11122 | 0.8375 | 0.9088 | 0.7417 |
|
| 137 |
+
| 0.159 | 83.0004 | 11256 | 0.7873 | 0.9070 | 0.7430 |
|
| 138 |
+
| 0.1758 | 84.0004 | 11390 | 0.7781 | 0.9091 | 0.7519 |
|
| 139 |
+
| 0.1707 | 85.0004 | 11524 | 0.7849 | 0.9124 | 0.7530 |
|
| 140 |
+
| 0.1536 | 86.0004 | 11658 | 0.7871 | 0.9132 | 0.7513 |
|
| 141 |
+
| 0.1525 | 87.0003 | 11792 | 0.8187 | 0.9132 | 0.7550 |
|
| 142 |
+
| 0.1569 | 88.0003 | 11926 | 0.7146 | 0.9191 | 0.7660 |
|
| 143 |
+
| 0.1449 | 89.0003 | 12060 | 0.7128 | 0.9181 | 0.7587 |
|
| 144 |
+
| 0.1548 | 90.0003 | 12194 | 0.8574 | 0.9122 | 0.7629 |
|
| 145 |
+
| 0.141 | 91.0003 | 12328 | 0.8747 | 0.9070 | 0.7582 |
|
| 146 |
+
| 0.1343 | 92.0003 | 12462 | 0.7454 | 0.9146 | 0.7583 |
|
| 147 |
+
| 0.1494 | 93.0003 | 12596 | 0.7710 | 0.9171 | 0.7682 |
|
| 148 |
+
| 0.1457 | 94.0003 | 12730 | 0.8068 | 0.9162 | 0.7624 |
|
| 149 |
+
| 0.1338 | 95.0003 | 12864 | 0.7810 | 0.9162 | 0.7601 |
|
| 150 |
+
| 0.1443 | 96.0003 | 12998 | 0.7812 | 0.9194 | 0.7719 |
|
| 151 |
+
| 0.1406 | 97.0003 | 13132 | 0.8628 | 0.9167 | 0.7687 |
|
| 152 |
+
| 0.1243 | 98.0003 | 13266 | 0.8405 | 0.9199 | 0.7729 |
|
| 153 |
+
| 0.1363 | 99.0003 | 13400 | 0.7898 | 0.9191 | 0.7751 |
|
| 154 |
+
| 0.1189 | 100.0003 | 13534 | 0.7342 | 0.9219 | 0.7790 |
|
| 155 |
+
| 0.1219 | 101.0002 | 13668 | 0.7306 | 0.9223 | 0.7772 |
|
| 156 |
+
| 0.1124 | 102.0002 | 13802 | 0.7833 | 0.9188 | 0.7755 |
|
| 157 |
+
| 0.1139 | 103.0002 | 13936 | 0.8148 | 0.9184 | 0.7751 |
|
| 158 |
+
| 0.1214 | 104.0002 | 14070 | 0.7879 | 0.9183 | 0.7803 |
|
| 159 |
+
| 0.1117 | 105.0002 | 14204 | 0.7734 | 0.9204 | 0.7809 |
|
| 160 |
+
| 0.1146 | 106.0002 | 14338 | 0.8366 | 0.9226 | 0.7825 |
|
| 161 |
+
| 0.1147 | 107.0002 | 14472 | 0.7229 | 0.9175 | 0.7783 |
|
| 162 |
+
| 0.1197 | 108.0002 | 14606 | 0.8401 | 0.9147 | 0.7681 |
|
| 163 |
+
| 0.1104 | 109.0002 | 14740 | 0.7640 | 0.9208 | 0.7875 |
|
| 164 |
+
| 0.1113 | 110.0002 | 14874 | 0.7870 | 0.9220 | 0.7870 |
|
| 165 |
+
| 0.1168 | 111.0002 | 15008 | 0.7874 | 0.9239 | 0.7892 |
|
| 166 |
+
| 0.113 | 112.0002 | 15142 | 0.8191 | 0.9233 | 0.7853 |
|
| 167 |
+
| 0.1117 | 113.0002 | 15276 | 0.8318 | 0.9199 | 0.7864 |
|
| 168 |
+
| 0.1083 | 114.0001 | 15410 | 0.7510 | 0.9226 | 0.7877 |
|
| 169 |
+
| 0.106 | 115.0001 | 15544 | 0.7902 | 0.9217 | 0.7858 |
|
| 170 |
+
| 0.1035 | 116.0001 | 15678 | 0.7446 | 0.9243 | 0.7886 |
|
| 171 |
+
| 0.1014 | 117.0001 | 15812 | 0.8274 | 0.9223 | 0.7893 |
|
| 172 |
+
| 0.0981 | 118.0001 | 15946 | 0.8091 | 0.9223 | 0.7851 |
|
| 173 |
+
| 0.107 | 119.0001 | 16080 | 0.7593 | 0.9242 | 0.7889 |
|
| 174 |
+
| 0.0959 | 120.0001 | 16214 | 0.7496 | 0.9235 | 0.7935 |
|
| 175 |
+
| 0.0992 | 121.0001 | 16348 | 0.8306 | 0.9238 | 0.7952 |
|
| 176 |
+
| 0.1098 | 122.0001 | 16482 | 0.8062 | 0.9228 | 0.7870 |
|
| 177 |
+
| 0.1057 | 123.0001 | 16616 | 0.8147 | 0.9271 | 0.7956 |
|
| 178 |
+
| 0.1016 | 124.0001 | 16750 | 0.7786 | 0.9259 | 0.7967 |
|
| 179 |
+
| 0.0989 | 125.0001 | 16884 | 0.7860 | 0.9258 | 0.7900 |
|
| 180 |
+
| 0.0935 | 126.0001 | 17018 | 0.7269 | 0.9282 | 0.7982 |
|
| 181 |
+
| 0.0985 | 127.0001 | 17152 | 0.7521 | 0.9251 | 0.7965 |
|
| 182 |
+
| 0.0972 | 128.0000 | 17286 | 0.7956 | 0.9262 | 0.7978 |
|
| 183 |
+
| 0.0859 | 129.0000 | 17420 | 0.7589 | 0.9301 | 0.7994 |
|
| 184 |
+
| 0.092 | 130.0000 | 17554 | 0.7692 | 0.9288 | 0.8008 |
|
| 185 |
+
| 0.0866 | 131.0000 | 17688 | 0.7236 | 0.9274 | 0.8029 |
|
| 186 |
+
| 0.0876 | 132.0000 | 17822 | 0.8242 | 0.9278 | 0.8008 |
|
| 187 |
+
| 0.0938 | 133.0000 | 17956 | 0.8522 | 0.9261 | 0.8035 |
|
| 188 |
+
| 0.089 | 133.0010 | 18090 | 0.8152 | 0.9252 | 0.7952 |
|
| 189 |
+
| 0.0872 | 134.0010 | 18224 | 0.8051 | 0.9234 | 0.7946 |
|
| 190 |
+
| 0.0866 | 135.0010 | 18358 | 0.8002 | 0.9296 | 0.8067 |
|
| 191 |
+
| 0.0914 | 136.0010 | 18492 | 0.8629 | 0.9268 | 0.7972 |
|
| 192 |
+
| 0.0858 | 137.0010 | 18626 | 0.7864 | 0.9266 | 0.8036 |
|
| 193 |
+
| 0.0887 | 138.0010 | 18760 | 0.7719 | 0.9265 | 0.7975 |
|
| 194 |
+
| 0.0906 | 139.0010 | 18894 | 0.8890 | 0.9264 | 0.8012 |
|
| 195 |
+
| 0.0862 | 140.0010 | 19028 | 0.7941 | 0.9264 | 0.8026 |
|
| 196 |
+
| 0.0839 | 141.0009 | 19162 | 0.8196 | 0.9263 | 0.8023 |
|
| 197 |
+
| 0.0782 | 142.0009 | 19296 | 0.8297 | 0.9251 | 0.7997 |
|
| 198 |
+
| 0.078 | 143.0009 | 19430 | 0.7575 | 0.9280 | 0.8039 |
|
| 199 |
+
| 0.0843 | 144.0009 | 19564 | 0.8377 | 0.9272 | 0.7989 |
|
| 200 |
+
| 0.0858 | 145.0009 | 19698 | 0.7956 | 0.9249 | 0.8068 |
|
| 201 |
+
| 0.091 | 146.0009 | 19832 | 0.7684 | 0.9301 | 0.8047 |
|
| 202 |
+
| 0.0836 | 147.0009 | 19966 | 0.8230 | 0.9262 | 0.8037 |
|
| 203 |
+
| 0.0869 | 148.0009 | 20100 | 0.7151 | 0.9280 | 0.8058 |
|
| 204 |
+
| 0.0793 | 149.0009 | 20234 | 0.7511 | 0.9330 | 0.8125 |
|
| 205 |
+
| 0.0818 | 150.0009 | 20368 | 0.8557 | 0.9273 | 0.8058 |
|
| 206 |
+
| 0.0801 | 151.0009 | 20502 | 0.8652 | 0.9303 | 0.8078 |
|
| 207 |
+
| 0.087 | 152.0009 | 20636 | 0.7795 | 0.9305 | 0.8080 |
|
| 208 |
+
| 0.0766 | 153.0009 | 20770 | 0.8371 | 0.9288 | 0.8001 |
|
| 209 |
+
| 0.0837 | 154.0008 | 20904 | 0.7440 | 0.9235 | 0.8024 |
|
| 210 |
+
| 0.0764 | 155.0008 | 21038 | 0.7770 | 0.9281 | 0.8057 |
|
| 211 |
+
| 0.0797 | 156.0008 | 21172 | 0.7134 | 0.9306 | 0.8067 |
|
| 212 |
+
| 0.0739 | 157.0008 | 21306 | 0.8188 | 0.9305 | 0.8155 |
|
| 213 |
+
| 0.0862 | 158.0008 | 21440 | 0.8286 | 0.9296 | 0.8101 |
|
| 214 |
+
| 0.0747 | 159.0008 | 21574 | 0.8118 | 0.9272 | 0.8115 |
|
| 215 |
+
| 0.0683 | 160.0008 | 21708 | 0.7711 | 0.9308 | 0.8108 |
|
| 216 |
+
| 0.0792 | 161.0008 | 21842 | 0.8346 | 0.9294 | 0.8135 |
|
| 217 |
+
| 0.0878 | 162.0008 | 21976 | 0.8637 | 0.9282 | 0.8078 |
|
| 218 |
+
| 0.0769 | 163.0008 | 22110 | 0.8123 | 0.9296 | 0.8127 |
|
| 219 |
+
| 0.0738 | 164.0008 | 22244 | 0.8557 | 0.9295 | 0.8127 |
|
| 220 |
+
| 0.0744 | 165.0008 | 22378 | 0.8629 | 0.9303 | 0.8061 |
|
| 221 |
+
| 0.0774 | 166.0008 | 22512 | 0.7493 | 0.9322 | 0.8146 |
|
| 222 |
+
| 0.0715 | 167.0008 | 22646 | 0.8042 | 0.9285 | 0.8115 |
|
| 223 |
+
| 0.079 | 168.0007 | 22780 | 0.7392 | 0.9327 | 0.8140 |
|
| 224 |
+
| 0.0707 | 169.0007 | 22914 | 0.8455 | 0.9342 | 0.8196 |
|
| 225 |
+
| 0.072 | 170.0007 | 23048 | 0.8119 | 0.9305 | 0.8145 |
|
| 226 |
+
| 0.0707 | 171.0007 | 23182 | 0.7320 | 0.9318 | 0.8133 |
|
| 227 |
+
| 0.0643 | 172.0007 | 23316 | 0.7783 | 0.9316 | 0.8132 |
|
| 228 |
+
| 0.07 | 173.0007 | 23450 | 0.8248 | 0.9290 | 0.8089 |
|
| 229 |
+
| 0.0729 | 174.0007 | 23584 | 0.9125 | 0.9293 | 0.8181 |
|
| 230 |
+
| 0.0762 | 175.0007 | 23718 | 0.7732 | 0.9316 | 0.8148 |
|
| 231 |
+
| 0.0669 | 176.0007 | 23852 | 0.7697 | 0.9320 | 0.8185 |
|
| 232 |
+
| 0.0663 | 177.0007 | 23986 | 0.8438 | 0.9299 | 0.8131 |
|
| 233 |
+
| 0.07 | 178.0007 | 24120 | 0.8483 | 0.9314 | 0.8159 |
|
| 234 |
+
| 0.0736 | 179.0007 | 24254 | 0.8742 | 0.9274 | 0.8120 |
|
| 235 |
+
| 0.0637 | 180.0007 | 24388 | 0.8411 | 0.9294 | 0.8170 |
|
| 236 |
+
| 0.063 | 181.0006 | 24522 | 0.8339 | 0.9323 | 0.8148 |
|
| 237 |
+
| 0.067 | 182.0006 | 24656 | 0.8013 | 0.9299 | 0.8165 |
|
| 238 |
+
| 0.0659 | 183.0006 | 24790 | 0.8270 | 0.9326 | 0.8149 |
|
| 239 |
+
| 0.0755 | 184.0006 | 24924 | 0.7853 | 0.9324 | 0.8170 |
|
| 240 |
+
| 0.0684 | 185.0006 | 25058 | 0.8698 | 0.9314 | 0.8204 |
|
| 241 |
+
| 0.0642 | 186.0006 | 25192 | 0.8101 | 0.9321 | 0.8152 |
|
| 242 |
+
| 0.0786 | 187.0006 | 25326 | 0.8668 | 0.9308 | 0.8160 |
|
| 243 |
+
| 0.0764 | 188.0006 | 25460 | 0.8882 | 0.9314 | 0.8193 |
|
| 244 |
+
| 0.0617 | 189.0006 | 25594 | 0.7957 | 0.9320 | 0.8163 |
|
| 245 |
+
| 0.0718 | 190.0006 | 25728 | 0.7626 | 0.9330 | 0.8199 |
|
| 246 |
+
| 0.0708 | 191.0006 | 25862 | 0.8295 | 0.9308 | 0.8163 |
|
| 247 |
+
| 0.0628 | 192.0006 | 25996 | 0.7481 | 0.9320 | 0.8214 |
|
| 248 |
+
| 0.0696 | 193.0006 | 26130 | 0.8384 | 0.9349 | 0.8157 |
|
| 249 |
+
| 0.0693 | 194.0005 | 26264 | 0.7862 | 0.9330 | 0.8202 |
|
| 250 |
+
| 0.0626 | 195.0005 | 26398 | 0.8437 | 0.9339 | 0.8203 |
|
| 251 |
+
| 0.064 | 196.0005 | 26532 | 0.8529 | 0.9309 | 0.8158 |
|
| 252 |
+
| 0.0584 | 197.0005 | 26666 | 0.8534 | 0.9303 | 0.8202 |
|
| 253 |
+
| 0.0559 | 198.0005 | 26800 | 0.7749 | 0.9351 | 0.8220 |
|
| 254 |
+
| 0.0655 | 199.0005 | 26934 | 0.7233 | 0.9334 | 0.8203 |
|
| 255 |
+
| 0.06 | 200.0005 | 27068 | 0.8303 | 0.9353 | 0.8263 |
|
| 256 |
+
| 0.0747 | 201.0005 | 27202 | 0.7430 | 0.9323 | 0.8201 |
|
| 257 |
+
| 0.0553 | 202.0005 | 27336 | 0.8185 | 0.9317 | 0.8214 |
|
| 258 |
+
| 0.063 | 203.0005 | 27470 | 0.8043 | 0.9303 | 0.8221 |
|
| 259 |
+
| 0.0589 | 204.0005 | 27604 | 0.8448 | 0.9327 | 0.8193 |
|
| 260 |
+
| 0.0593 | 205.0005 | 27738 | 0.7602 | 0.9347 | 0.8256 |
|
| 261 |
+
| 0.0648 | 206.0005 | 27872 | 0.8302 | 0.9306 | 0.8249 |
|
| 262 |
+
| 0.0598 | 207.0005 | 28006 | 0.8227 | 0.9362 | 0.8244 |
|
| 263 |
+
| 0.0566 | 208.0004 | 28140 | 0.7189 | 0.9329 | 0.8244 |
|
| 264 |
+
| 0.063 | 209.0004 | 28274 | 0.8116 | 0.9334 | 0.8255 |
|
| 265 |
+
| 0.0663 | 210.0004 | 28408 | 0.7868 | 0.9339 | 0.8225 |
|
| 266 |
+
| 0.0696 | 211.0004 | 28542 | 0.8900 | 0.9304 | 0.8195 |
|
| 267 |
+
| 0.0654 | 212.0004 | 28676 | 0.8708 | 0.9307 | 0.8228 |
|
| 268 |
+
| 0.063 | 213.0004 | 28810 | 0.8047 | 0.9346 | 0.8262 |
|
| 269 |
+
| 0.0641 | 214.0004 | 28944 | 0.7723 | 0.9294 | 0.8220 |
|
| 270 |
+
| 0.0608 | 215.0004 | 29078 | 0.8984 | 0.9313 | 0.8250 |
|
| 271 |
+
| 0.0539 | 216.0004 | 29212 | 0.9559 | 0.9305 | 0.8244 |
|
| 272 |
+
| 0.0574 | 217.0004 | 29346 | 0.8300 | 0.9315 | 0.8242 |
|
| 273 |
+
| 0.057 | 218.0004 | 29480 | 0.9182 | 0.9323 | 0.8251 |
|
| 274 |
+
| 0.0601 | 219.0004 | 29614 | 0.9832 | 0.9326 | 0.8281 |
|
| 275 |
+
| 0.058 | 220.0004 | 29748 | 0.7739 | 0.9357 | 0.8308 |
|
| 276 |
+
| 0.0609 | 221.0003 | 29882 | 1.0686 | 0.9293 | 0.8240 |
|
| 277 |
+
| 0.0563 | 222.0003 | 30016 | 0.8808 | 0.9332 | 0.8258 |
|
| 278 |
+
| 0.06 | 223.0003 | 30150 | 0.8174 | 0.9334 | 0.8251 |
|
| 279 |
+
| 0.0671 | 224.0003 | 30284 | 0.8872 | 0.9326 | 0.8202 |
|
| 280 |
+
| 0.0557 | 225.0003 | 30418 | 0.8967 | 0.9335 | 0.8296 |
|
| 281 |
+
| 0.0563 | 226.0003 | 30552 | 0.8364 | 0.9348 | 0.8301 |
|
| 282 |
+
| 0.0614 | 227.0003 | 30686 | 0.8761 | 0.9314 | 0.8230 |
|
| 283 |
+
| 0.058 | 228.0003 | 30820 | 0.9479 | 0.9346 | 0.8264 |
|
| 284 |
+
| 0.0593 | 229.0003 | 30954 | 0.8073 | 0.9363 | 0.8309 |
|
| 285 |
+
| 0.0563 | 230.0003 | 31088 | 0.8510 | 0.9370 | 0.8302 |
|
| 286 |
+
| 0.0537 | 231.0003 | 31222 | 0.8613 | 0.9365 | 0.8311 |
|
| 287 |
+
| 0.0518 | 232.0003 | 31356 | 0.8530 | 0.9347 | 0.8297 |
|
| 288 |
+
| 0.061 | 233.0003 | 31490 | 0.8436 | 0.9298 | 0.8214 |
|
| 289 |
+
| 0.0546 | 234.0003 | 31624 | 0.9072 | 0.9339 | 0.8298 |
|
| 290 |
+
| 0.0565 | 235.0002 | 31758 | 0.9370 | 0.9314 | 0.8296 |
|
| 291 |
+
| 0.0524 | 236.0002 | 31892 | 0.8250 | 0.9342 | 0.8287 |
|
| 292 |
+
| 0.0539 | 237.0002 | 32026 | 0.8957 | 0.9301 | 0.8242 |
|
| 293 |
+
| 0.0535 | 238.0002 | 32160 | 0.9230 | 0.9349 | 0.8293 |
|
| 294 |
+
| 0.0493 | 239.0002 | 32294 | 0.8289 | 0.9332 | 0.8277 |
|
| 295 |
+
| 0.0459 | 240.0002 | 32428 | 0.8785 | 0.9313 | 0.8243 |
|
| 296 |
+
| 0.0536 | 241.0002 | 32562 | 0.8871 | 0.9293 | 0.8269 |
|
| 297 |
+
| 0.0571 | 242.0002 | 32696 | 0.8132 | 0.9333 | 0.8289 |
|
| 298 |
+
| 0.0615 | 243.0002 | 32830 | 0.8659 | 0.9327 | 0.8273 |
|
| 299 |
+
| 0.0522 | 244.0002 | 32964 | 0.8153 | 0.9294 | 0.8247 |
|
| 300 |
+
| 0.0567 | 245.0002 | 33098 | 0.8279 | 0.9331 | 0.8291 |
|
| 301 |
+
| 0.047 | 246.0002 | 33232 | 0.8409 | 0.9356 | 0.8314 |
|
| 302 |
+
| 0.0572 | 247.0002 | 33366 | 0.8027 | 0.9342 | 0.8266 |
|
| 303 |
+
| 0.0485 | 248.0001 | 33500 | 0.8010 | 0.9353 | 0.8320 |
|
| 304 |
+
| 0.054 | 249.0001 | 33634 | 0.9580 | 0.9303 | 0.8228 |
|
| 305 |
+
| 0.0553 | 250.0001 | 33768 | 0.8505 | 0.9333 | 0.8259 |
|
| 306 |
+
| 0.0543 | 251.0001 | 33902 | 0.8613 | 0.9320 | 0.8233 |
|
| 307 |
+
| 0.0519 | 252.0001 | 34036 | 0.8506 | 0.9350 | 0.8289 |
|
| 308 |
+
| 0.0503 | 253.0001 | 34170 | 0.8748 | 0.9368 | 0.8346 |
|
| 309 |
+
| 0.051 | 254.0001 | 34304 | 0.8034 | 0.9348 | 0.8328 |
|
| 310 |
+
| 0.0646 | 255.0001 | 34438 | 1.0640 | 0.9330 | 0.8268 |
|
| 311 |
+
| 0.0531 | 256.0001 | 34572 | 0.8127 | 0.9337 | 0.8294 |
|
| 312 |
+
| 0.0494 | 257.0001 | 34706 | 0.8167 | 0.9329 | 0.8270 |
|
| 313 |
+
| 0.0468 | 258.0001 | 34840 | 0.8562 | 0.9323 | 0.8287 |
|
| 314 |
+
| 0.0519 | 259.0001 | 34974 | 0.8958 | 0.9340 | 0.8303 |
|
| 315 |
+
| 0.0499 | 260.0001 | 35108 | 0.7423 | 0.9375 | 0.8321 |
|
| 316 |
+
| 0.0497 | 261.0001 | 35242 | 0.8003 | 0.9361 | 0.8320 |
|
| 317 |
+
| 0.0538 | 262.0000 | 35376 | 0.9354 | 0.9321 | 0.8295 |
|
| 318 |
+
| 0.0455 | 263.0000 | 35510 | 0.8108 | 0.9356 | 0.8324 |
|
| 319 |
+
| 0.0501 | 264.0000 | 35644 | 0.9031 | 0.9329 | 0.8334 |
|
| 320 |
+
| 0.0492 | 265.0000 | 35778 | 0.8802 | 0.9342 | 0.8303 |
|
| 321 |
+
| 0.0498 | 266.0000 | 35912 | 0.8310 | 0.9348 | 0.8343 |
|
| 322 |
+
| 0.0496 | 267.0000 | 36046 | 0.8736 | 0.9309 | 0.8326 |
|
| 323 |
+
| 0.0587 | 267.0010 | 36180 | 0.8401 | 0.9331 | 0.8308 |
|
| 324 |
+
| 0.045 | 268.0010 | 36314 | 0.8397 | 0.9374 | 0.8336 |
|
| 325 |
+
| 0.0604 | 269.0010 | 36448 | 0.8459 | 0.9343 | 0.8288 |
|
| 326 |
+
| 0.0519 | 270.0010 | 36582 | 0.7975 | 0.9331 | 0.8257 |
|
| 327 |
+
| 0.0475 | 271.0010 | 36716 | 0.8539 | 0.9342 | 0.8335 |
|
| 328 |
+
| 0.0529 | 272.0010 | 36850 | 0.8395 | 0.9328 | 0.8316 |
|
| 329 |
+
|
| 330 |
+
|
| 331 |
+
### Framework versions
|
| 332 |
+
|
| 333 |
+
- Transformers 4.46.0
|
| 334 |
+
- Pytorch 2.3.1+cu121
|
| 335 |
+
- Datasets 2.20.0
|
| 336 |
+
- Tokenizers 0.20.1
|
model.safetensors
CHANGED
|
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size 126037280
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size 126037280
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ADDED
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