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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: Arthur-Tsai/histv4_pretrain_tssp-smlm
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: histv4_ftis_pretrain_smlm
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # histv4_ftis_pretrain_smlm
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+
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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: 0.7913
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+ - Accuracy: 0.9368
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+ - Macro F1: 0.8335
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - lr_scheduler_warmup_steps: 6731
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+ - training_steps: 134625
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
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+ |:-------------:|:--------:|:-----:|:---------------:|:--------:|:--------:|
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+ | 44.8484 | 0.0010 | 134 | 30.0176 | 0.0226 | 0.0162 |
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+ | 17.5559 | 1.0010 | 268 | 10.0813 | 0.1219 | 0.0405 |
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+ | 7.5012 | 2.0010 | 402 | 6.9073 | 0.4843 | 0.1198 |
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+ | 6.1516 | 3.0010 | 536 | 5.4805 | 0.5540 | 0.1446 |
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+ | 5.3054 | 4.0010 | 670 | 5.1046 | 0.5872 | 0.1617 |
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+ | 4.7745 | 5.0010 | 804 | 4.2313 | 0.6081 | 0.1691 |
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+ | 4.3581 | 6.0010 | 938 | 3.5554 | 0.6201 | 0.1819 |
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+ | 3.8776 | 7.0009 | 1072 | 3.0887 | 0.6313 | 0.1936 |
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+ | 3.2688 | 8.0009 | 1206 | 2.7245 | 0.6369 | 0.1888 |
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+ | 3.0798 | 9.0009 | 1340 | 2.3943 | 0.6464 | 0.1978 |
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+ | 2.7172 | 10.0009 | 1474 | 2.2284 | 0.6636 | 0.2125 |
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+ | 2.4796 | 11.0009 | 1608 | 2.1157 | 0.6778 | 0.2274 |
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+ | 2.3686 | 12.0009 | 1742 | 1.9722 | 0.6951 | 0.2416 |
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+ | 2.2146 | 13.0009 | 1876 | 1.8875 | 0.7052 | 0.2603 |
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+ | 2.0057 | 14.0009 | 2010 | 1.8571 | 0.7200 | 0.2800 |
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+ | 1.9896 | 15.0009 | 2144 | 1.7652 | 0.7251 | 0.3001 |
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+ | 2.0491 | 16.0009 | 2278 | 1.6713 | 0.7310 | 0.3092 |
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+ | 1.817 | 17.0009 | 2412 | 1.6615 | 0.7448 | 0.3359 |
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+ | 1.7796 | 18.0009 | 2546 | 1.6597 | 0.7356 | 0.3498 |
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+ | 1.772 | 19.0009 | 2680 | 1.5127 | 0.7539 | 0.3852 |
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+ | 1.5402 | 20.0008 | 2814 | 1.5287 | 0.7523 | 0.3879 |
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+ | 1.5846 | 21.0008 | 2948 | 1.5452 | 0.7582 | 0.3988 |
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+ | 1.4547 | 22.0008 | 3082 | 1.4285 | 0.7771 | 0.4327 |
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+ | 1.4157 | 23.0008 | 3216 | 1.4671 | 0.7720 | 0.4266 |
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+ | 1.2873 | 24.0008 | 3350 | 1.4355 | 0.7907 | 0.4508 |
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+ | 1.3378 | 25.0008 | 3484 | 1.3620 | 0.7890 | 0.4632 |
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+ | 1.2115 | 26.0008 | 3618 | 1.2835 | 0.8037 | 0.4788 |
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+ | 1.1971 | 27.0008 | 3752 | 1.2582 | 0.7967 | 0.4796 |
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+ | 1.1489 | 28.0008 | 3886 | 1.2354 | 0.8132 | 0.5002 |
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+ | 1.0492 | 29.0008 | 4020 | 1.2039 | 0.8148 | 0.5071 |
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+ | 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 |
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+ | 0.8415 | 35.0007 | 4824 | 1.1179 | 0.8387 | 0.5673 |
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+ | 0.8441 | 36.0007 | 4958 | 1.0846 | 0.8367 | 0.5757 |
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+ | 0.774 | 37.0007 | 5092 | 1.0677 | 0.8403 | 0.5810 |
92
+ | 0.7711 | 38.0007 | 5226 | 0.9100 | 0.8559 | 0.5975 |
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+ | 0.7389 | 39.0007 | 5360 | 1.0080 | 0.8509 | 0.5996 |
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+ | 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 |
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
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