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update model card README.md
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README.md
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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+
tags:
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| 4 |
+
- generated_from_trainer
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| 5 |
+
model-index:
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- name: t5-small-entailement-Writer-T5-base
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results: []
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| 8 |
+
---
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| 9 |
+
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| 10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 11 |
+
should probably proofread and complete it, then remove this comment. -->
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| 12 |
+
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| 13 |
+
# t5-small-entailement-Writer-T5-base
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| 14 |
+
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| 15 |
+
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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| 16 |
+
It achieves the following results on the evaluation set:
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| 17 |
+
- Loss: 0.5697
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| 18 |
+
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| 19 |
+
## Model description
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| 20 |
+
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| 21 |
+
More information needed
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| 22 |
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| 23 |
+
## Intended uses & limitations
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| 24 |
+
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| 25 |
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More information needed
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| 26 |
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| 27 |
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## Training and evaluation data
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| 28 |
+
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| 29 |
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More information needed
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| 30 |
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| 31 |
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## Training procedure
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| 32 |
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| 33 |
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### Training hyperparameters
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| 34 |
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| 35 |
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The following hyperparameters were used during training:
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| 36 |
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- learning_rate: 2e-05
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| 37 |
+
- train_batch_size: 32
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| 38 |
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- eval_batch_size: 32
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| 39 |
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- seed: 42
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| 40 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 41 |
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- lr_scheduler_type: linear
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| 42 |
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- num_epochs: 250
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| 43 |
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- mixed_precision_training: Native AMP
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| 44 |
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| 45 |
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### Training results
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| 46 |
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| 47 |
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| Training Loss | Epoch | Step | Validation Loss |
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| 48 |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 49 |
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| No log | 1.0 | 42 | 1.8185 |
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| 50 |
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| No log | 2.0 | 84 | 1.1957 |
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| 51 |
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| No log | 3.0 | 126 | 0.9771 |
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| 52 |
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| No log | 4.0 | 168 | 0.8964 |
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| 53 |
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| No log | 5.0 | 210 | 0.8380 |
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| 54 |
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| No log | 6.0 | 252 | 0.8109 |
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| 55 |
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| No log | 7.0 | 294 | 0.7886 |
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| 56 |
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| No log | 8.0 | 336 | 0.7760 |
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| 57 |
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| No log | 9.0 | 378 | 0.7577 |
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| 58 |
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| No log | 10.0 | 420 | 0.7483 |
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| 59 |
+
| No log | 11.0 | 462 | 0.7364 |
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| 60 |
+
| 1.2044 | 12.0 | 504 | 0.7267 |
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| 61 |
+
| 1.2044 | 13.0 | 546 | 0.7205 |
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| 62 |
+
| 1.2044 | 14.0 | 588 | 0.7102 |
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| 63 |
+
| 1.2044 | 15.0 | 630 | 0.7048 |
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| 64 |
+
| 1.2044 | 16.0 | 672 | 0.7015 |
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| 65 |
+
| 1.2044 | 17.0 | 714 | 0.6958 |
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| 66 |
+
| 1.2044 | 18.0 | 756 | 0.6892 |
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| 67 |
+
| 1.2044 | 19.0 | 798 | 0.6877 |
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| 68 |
+
| 1.2044 | 20.0 | 840 | 0.6825 |
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| 69 |
+
| 1.2044 | 21.0 | 882 | 0.6790 |
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| 70 |
+
| 1.2044 | 22.0 | 924 | 0.6732 |
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| 71 |
+
| 1.2044 | 23.0 | 966 | 0.6676 |
|
| 72 |
+
| 0.736 | 24.0 | 1008 | 0.6640 |
|
| 73 |
+
| 0.736 | 25.0 | 1050 | 0.6631 |
|
| 74 |
+
| 0.736 | 26.0 | 1092 | 0.6617 |
|
| 75 |
+
| 0.736 | 27.0 | 1134 | 0.6556 |
|
| 76 |
+
| 0.736 | 28.0 | 1176 | 0.6551 |
|
| 77 |
+
| 0.736 | 29.0 | 1218 | 0.6545 |
|
| 78 |
+
| 0.736 | 30.0 | 1260 | 0.6483 |
|
| 79 |
+
| 0.736 | 31.0 | 1302 | 0.6493 |
|
| 80 |
+
| 0.736 | 32.0 | 1344 | 0.6488 |
|
| 81 |
+
| 0.736 | 33.0 | 1386 | 0.6434 |
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| 82 |
+
| 0.736 | 34.0 | 1428 | 0.6427 |
|
| 83 |
+
| 0.736 | 35.0 | 1470 | 0.6403 |
|
| 84 |
+
| 0.6568 | 36.0 | 1512 | 0.6364 |
|
| 85 |
+
| 0.6568 | 37.0 | 1554 | 0.6342 |
|
| 86 |
+
| 0.6568 | 38.0 | 1596 | 0.6325 |
|
| 87 |
+
| 0.6568 | 39.0 | 1638 | 0.6300 |
|
| 88 |
+
| 0.6568 | 40.0 | 1680 | 0.6302 |
|
| 89 |
+
| 0.6568 | 41.0 | 1722 | 0.6292 |
|
| 90 |
+
| 0.6568 | 42.0 | 1764 | 0.6264 |
|
| 91 |
+
| 0.6568 | 43.0 | 1806 | 0.6272 |
|
| 92 |
+
| 0.6568 | 44.0 | 1848 | 0.6252 |
|
| 93 |
+
| 0.6568 | 45.0 | 1890 | 0.6229 |
|
| 94 |
+
| 0.6568 | 46.0 | 1932 | 0.6221 |
|
| 95 |
+
| 0.6568 | 47.0 | 1974 | 0.6202 |
|
| 96 |
+
| 0.602 | 48.0 | 2016 | 0.6193 |
|
| 97 |
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| 0.602 | 49.0 | 2058 | 0.6196 |
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| 98 |
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| 0.602 | 50.0 | 2100 | 0.6174 |
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| 99 |
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| 0.602 | 51.0 | 2142 | 0.6175 |
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| 100 |
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| 0.602 | 52.0 | 2184 | 0.6162 |
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| 101 |
+
| 0.602 | 53.0 | 2226 | 0.6155 |
|
| 102 |
+
| 0.602 | 54.0 | 2268 | 0.6129 |
|
| 103 |
+
| 0.602 | 55.0 | 2310 | 0.6139 |
|
| 104 |
+
| 0.602 | 56.0 | 2352 | 0.6124 |
|
| 105 |
+
| 0.602 | 57.0 | 2394 | 0.6128 |
|
| 106 |
+
| 0.602 | 58.0 | 2436 | 0.6109 |
|
| 107 |
+
| 0.602 | 59.0 | 2478 | 0.6111 |
|
| 108 |
+
| 0.5653 | 60.0 | 2520 | 0.6097 |
|
| 109 |
+
| 0.5653 | 61.0 | 2562 | 0.6086 |
|
| 110 |
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| 0.5653 | 62.0 | 2604 | 0.6083 |
|
| 111 |
+
| 0.5653 | 63.0 | 2646 | 0.6086 |
|
| 112 |
+
| 0.5653 | 64.0 | 2688 | 0.6090 |
|
| 113 |
+
| 0.5653 | 65.0 | 2730 | 0.6074 |
|
| 114 |
+
| 0.5653 | 66.0 | 2772 | 0.6064 |
|
| 115 |
+
| 0.5653 | 67.0 | 2814 | 0.6056 |
|
| 116 |
+
| 0.5653 | 68.0 | 2856 | 0.6039 |
|
| 117 |
+
| 0.5653 | 69.0 | 2898 | 0.6051 |
|
| 118 |
+
| 0.5653 | 70.0 | 2940 | 0.6043 |
|
| 119 |
+
| 0.5653 | 71.0 | 2982 | 0.6034 |
|
| 120 |
+
| 0.5368 | 72.0 | 3024 | 0.6020 |
|
| 121 |
+
| 0.5368 | 73.0 | 3066 | 0.6047 |
|
| 122 |
+
| 0.5368 | 74.0 | 3108 | 0.6031 |
|
| 123 |
+
| 0.5368 | 75.0 | 3150 | 0.6011 |
|
| 124 |
+
| 0.5368 | 76.0 | 3192 | 0.6027 |
|
| 125 |
+
| 0.5368 | 77.0 | 3234 | 0.6009 |
|
| 126 |
+
| 0.5368 | 78.0 | 3276 | 0.6003 |
|
| 127 |
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| 0.5368 | 79.0 | 3318 | 0.6001 |
|
| 128 |
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| 0.5368 | 80.0 | 3360 | 0.6008 |
|
| 129 |
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| 0.5368 | 81.0 | 3402 | 0.6005 |
|
| 130 |
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| 0.5368 | 82.0 | 3444 | 0.6007 |
|
| 131 |
+
| 0.5368 | 83.0 | 3486 | 0.5988 |
|
| 132 |
+
| 0.5055 | 84.0 | 3528 | 0.5991 |
|
| 133 |
+
| 0.5055 | 85.0 | 3570 | 0.6004 |
|
| 134 |
+
| 0.5055 | 86.0 | 3612 | 0.5989 |
|
| 135 |
+
| 0.5055 | 87.0 | 3654 | 0.5975 |
|
| 136 |
+
| 0.5055 | 88.0 | 3696 | 0.5977 |
|
| 137 |
+
| 0.5055 | 89.0 | 3738 | 0.5982 |
|
| 138 |
+
| 0.5055 | 90.0 | 3780 | 0.5964 |
|
| 139 |
+
| 0.5055 | 91.0 | 3822 | 0.5979 |
|
| 140 |
+
| 0.5055 | 92.0 | 3864 | 0.5996 |
|
| 141 |
+
| 0.5055 | 93.0 | 3906 | 0.5936 |
|
| 142 |
+
| 0.5055 | 94.0 | 3948 | 0.5956 |
|
| 143 |
+
| 0.5055 | 95.0 | 3990 | 0.5940 |
|
| 144 |
+
| 0.4866 | 96.0 | 4032 | 0.5961 |
|
| 145 |
+
| 0.4866 | 97.0 | 4074 | 0.5955 |
|
| 146 |
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| 0.4866 | 98.0 | 4116 | 0.5949 |
|
| 147 |
+
| 0.4866 | 99.0 | 4158 | 0.5971 |
|
| 148 |
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| 0.4866 | 100.0 | 4200 | 0.5958 |
|
| 149 |
+
| 0.4866 | 101.0 | 4242 | 0.5978 |
|
| 150 |
+
| 0.4866 | 102.0 | 4284 | 0.5971 |
|
| 151 |
+
| 0.4866 | 103.0 | 4326 | 0.5954 |
|
| 152 |
+
| 0.4866 | 104.0 | 4368 | 0.5933 |
|
| 153 |
+
| 0.4866 | 105.0 | 4410 | 0.5944 |
|
| 154 |
+
| 0.4866 | 106.0 | 4452 | 0.5952 |
|
| 155 |
+
| 0.4866 | 107.0 | 4494 | 0.5948 |
|
| 156 |
+
| 0.4657 | 108.0 | 4536 | 0.5951 |
|
| 157 |
+
| 0.4657 | 109.0 | 4578 | 0.5948 |
|
| 158 |
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| 0.4657 | 110.0 | 4620 | 0.5948 |
|
| 159 |
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| 0.4657 | 111.0 | 4662 | 0.5927 |
|
| 160 |
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| 0.4657 | 112.0 | 4704 | 0.5931 |
|
| 161 |
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| 0.4657 | 113.0 | 4746 | 0.5919 |
|
| 162 |
+
| 0.4657 | 114.0 | 4788 | 0.5939 |
|
| 163 |
+
| 0.4657 | 115.0 | 4830 | 0.5922 |
|
| 164 |
+
| 0.4657 | 116.0 | 4872 | 0.5921 |
|
| 165 |
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| 0.4657 | 117.0 | 4914 | 0.5917 |
|
| 166 |
+
| 0.4657 | 118.0 | 4956 | 0.5913 |
|
| 167 |
+
| 0.4657 | 119.0 | 4998 | 0.5908 |
|
| 168 |
+
| 0.4468 | 120.0 | 5040 | 0.5929 |
|
| 169 |
+
| 0.4468 | 121.0 | 5082 | 0.5915 |
|
| 170 |
+
| 0.4468 | 122.0 | 5124 | 0.5926 |
|
| 171 |
+
| 0.4468 | 123.0 | 5166 | 0.5929 |
|
| 172 |
+
| 0.4468 | 124.0 | 5208 | 0.5911 |
|
| 173 |
+
| 0.4468 | 125.0 | 5250 | 0.5907 |
|
| 174 |
+
| 0.4468 | 126.0 | 5292 | 0.5921 |
|
| 175 |
+
| 0.4468 | 127.0 | 5334 | 0.5917 |
|
| 176 |
+
| 0.4468 | 128.0 | 5376 | 0.5923 |
|
| 177 |
+
| 0.4468 | 129.0 | 5418 | 0.5912 |
|
| 178 |
+
| 0.4468 | 130.0 | 5460 | 0.5930 |
|
| 179 |
+
| 0.4346 | 131.0 | 5502 | 0.5924 |
|
| 180 |
+
| 0.4346 | 132.0 | 5544 | 0.5933 |
|
| 181 |
+
| 0.4346 | 133.0 | 5586 | 0.5920 |
|
| 182 |
+
| 0.4346 | 134.0 | 5628 | 0.5937 |
|
| 183 |
+
| 0.4346 | 135.0 | 5670 | 0.5930 |
|
| 184 |
+
| 0.4346 | 136.0 | 5712 | 0.5930 |
|
| 185 |
+
| 0.4346 | 137.0 | 5754 | 0.5929 |
|
| 186 |
+
| 0.4346 | 138.0 | 5796 | 0.5916 |
|
| 187 |
+
| 0.4346 | 139.0 | 5838 | 0.5935 |
|
| 188 |
+
| 0.4346 | 140.0 | 5880 | 0.5947 |
|
| 189 |
+
| 0.4346 | 141.0 | 5922 | 0.5926 |
|
| 190 |
+
| 0.4346 | 142.0 | 5964 | 0.5930 |
|
| 191 |
+
| 0.4247 | 143.0 | 6006 | 0.5911 |
|
| 192 |
+
| 0.4247 | 144.0 | 6048 | 0.5916 |
|
| 193 |
+
| 0.4247 | 145.0 | 6090 | 0.5929 |
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| 194 |
+
| 0.4247 | 146.0 | 6132 | 0.5926 |
|
| 195 |
+
| 0.4247 | 147.0 | 6174 | 0.5917 |
|
| 196 |
+
| 0.4247 | 148.0 | 6216 | 0.5913 |
|
| 197 |
+
| 0.4247 | 149.0 | 6258 | 0.5907 |
|
| 198 |
+
| 0.4247 | 150.0 | 6300 | 0.5930 |
|
| 199 |
+
| 0.4247 | 151.0 | 6342 | 0.5928 |
|
| 200 |
+
| 0.4247 | 152.0 | 6384 | 0.5922 |
|
| 201 |
+
| 0.4247 | 153.0 | 6426 | 0.5921 |
|
| 202 |
+
| 0.4247 | 154.0 | 6468 | 0.5925 |
|
| 203 |
+
| 0.4139 | 155.0 | 6510 | 0.5923 |
|
| 204 |
+
| 0.4139 | 156.0 | 6552 | 0.5919 |
|
| 205 |
+
| 0.4139 | 157.0 | 6594 | 0.5920 |
|
| 206 |
+
| 0.4139 | 158.0 | 6636 | 0.5935 |
|
| 207 |
+
| 0.4139 | 159.0 | 6678 | 0.5926 |
|
| 208 |
+
| 0.4139 | 160.0 | 6720 | 0.5926 |
|
| 209 |
+
| 0.4139 | 161.0 | 6762 | 0.5925 |
|
| 210 |
+
| 0.4139 | 162.0 | 6804 | 0.5927 |
|
| 211 |
+
| 0.4139 | 163.0 | 6846 | 0.5918 |
|
| 212 |
+
| 0.4139 | 164.0 | 6888 | 0.5925 |
|
| 213 |
+
| 0.4139 | 165.0 | 6930 | 0.5935 |
|
| 214 |
+
| 0.4139 | 166.0 | 6972 | 0.5926 |
|
| 215 |
+
| 0.4049 | 167.0 | 7014 | 0.5919 |
|
| 216 |
+
| 0.4049 | 168.0 | 7056 | 0.5917 |
|
| 217 |
+
| 0.4049 | 169.0 | 7098 | 0.5916 |
|
| 218 |
+
| 0.4049 | 170.0 | 7140 | 0.5925 |
|
| 219 |
+
| 0.4049 | 171.0 | 7182 | 0.5931 |
|
| 220 |
+
| 0.4049 | 172.0 | 7224 | 0.5938 |
|
| 221 |
+
| 0.4049 | 173.0 | 7266 | 0.5932 |
|
| 222 |
+
| 0.4049 | 174.0 | 7308 | 0.5927 |
|
| 223 |
+
| 0.4049 | 175.0 | 7350 | 0.5934 |
|
| 224 |
+
| 0.4049 | 176.0 | 7392 | 0.5931 |
|
| 225 |
+
| 0.4049 | 177.0 | 7434 | 0.5937 |
|
| 226 |
+
| 0.4049 | 178.0 | 7476 | 0.5939 |
|
| 227 |
+
| 0.397 | 179.0 | 7518 | 0.5939 |
|
| 228 |
+
| 0.397 | 180.0 | 7560 | 0.5932 |
|
| 229 |
+
| 0.397 | 181.0 | 7602 | 0.5935 |
|
| 230 |
+
| 0.397 | 182.0 | 7644 | 0.5939 |
|
| 231 |
+
| 0.397 | 183.0 | 7686 | 0.5935 |
|
| 232 |
+
| 0.397 | 184.0 | 7728 | 0.5945 |
|
| 233 |
+
| 0.397 | 185.0 | 7770 | 0.5932 |
|
| 234 |
+
| 0.397 | 186.0 | 7812 | 0.5931 |
|
| 235 |
+
| 0.397 | 187.0 | 7854 | 0.5925 |
|
| 236 |
+
| 0.397 | 188.0 | 7896 | 0.5934 |
|
| 237 |
+
| 0.397 | 189.0 | 7938 | 0.5941 |
|
| 238 |
+
| 0.397 | 190.0 | 7980 | 0.5939 |
|
| 239 |
+
| 0.3891 | 191.0 | 8022 | 0.5933 |
|
| 240 |
+
| 0.3891 | 192.0 | 8064 | 0.5934 |
|
| 241 |
+
| 0.3891 | 193.0 | 8106 | 0.5938 |
|
| 242 |
+
| 0.3891 | 194.0 | 8148 | 0.5944 |
|
| 243 |
+
| 0.3891 | 195.0 | 8190 | 0.5937 |
|
| 244 |
+
| 0.3891 | 196.0 | 8232 | 0.5939 |
|
| 245 |
+
| 0.3891 | 197.0 | 8274 | 0.5937 |
|
| 246 |
+
| 0.3891 | 198.0 | 8316 | 0.5947 |
|
| 247 |
+
| 0.3891 | 199.0 | 8358 | 0.5945 |
|
| 248 |
+
| 0.3891 | 200.0 | 8400 | 0.5946 |
|
| 249 |
+
| 0.3891 | 201.0 | 8442 | 0.5945 |
|
| 250 |
+
| 0.3891 | 202.0 | 8484 | 0.5938 |
|
| 251 |
+
| 0.3842 | 203.0 | 8526 | 0.5947 |
|
| 252 |
+
| 0.3842 | 204.0 | 8568 | 0.5945 |
|
| 253 |
+
| 0.3842 | 205.0 | 8610 | 0.5935 |
|
| 254 |
+
| 0.3842 | 206.0 | 8652 | 0.5935 |
|
| 255 |
+
| 0.3842 | 207.0 | 8694 | 0.5939 |
|
| 256 |
+
| 0.3842 | 208.0 | 8736 | 0.5938 |
|
| 257 |
+
| 0.3842 | 209.0 | 8778 | 0.5939 |
|
| 258 |
+
| 0.3842 | 210.0 | 8820 | 0.5940 |
|
| 259 |
+
| 0.3842 | 211.0 | 8862 | 0.5943 |
|
| 260 |
+
| 0.3842 | 212.0 | 8904 | 0.5943 |
|
| 261 |
+
| 0.3842 | 213.0 | 8946 | 0.5946 |
|
| 262 |
+
| 0.3842 | 214.0 | 8988 | 0.5946 |
|
| 263 |
+
| 0.3802 | 215.0 | 9030 | 0.5947 |
|
| 264 |
+
| 0.3802 | 216.0 | 9072 | 0.5949 |
|
| 265 |
+
| 0.3802 | 217.0 | 9114 | 0.5944 |
|
| 266 |
+
| 0.3802 | 218.0 | 9156 | 0.5946 |
|
| 267 |
+
| 0.3802 | 219.0 | 9198 | 0.5950 |
|
| 268 |
+
| 0.3802 | 220.0 | 9240 | 0.5950 |
|
| 269 |
+
| 0.3802 | 221.0 | 9282 | 0.5953 |
|
| 270 |
+
| 0.3802 | 222.0 | 9324 | 0.5951 |
|
| 271 |
+
| 0.3802 | 223.0 | 9366 | 0.5956 |
|
| 272 |
+
| 0.3802 | 224.0 | 9408 | 0.5952 |
|
| 273 |
+
| 0.3802 | 225.0 | 9450 | 0.5955 |
|
| 274 |
+
| 0.3802 | 226.0 | 9492 | 0.5958 |
|
| 275 |
+
| 0.3791 | 227.0 | 9534 | 0.5954 |
|
| 276 |
+
| 0.3791 | 228.0 | 9576 | 0.5953 |
|
| 277 |
+
| 0.3791 | 229.0 | 9618 | 0.5959 |
|
| 278 |
+
| 0.3791 | 230.0 | 9660 | 0.5959 |
|
| 279 |
+
| 0.3791 | 231.0 | 9702 | 0.5957 |
|
| 280 |
+
| 0.3791 | 232.0 | 9744 | 0.5957 |
|
| 281 |
+
| 0.3791 | 233.0 | 9786 | 0.5956 |
|
| 282 |
+
| 0.3791 | 234.0 | 9828 | 0.5956 |
|
| 283 |
+
| 0.3791 | 235.0 | 9870 | 0.5956 |
|
| 284 |
+
| 0.3791 | 236.0 | 9912 | 0.5956 |
|
| 285 |
+
| 0.3791 | 237.0 | 9954 | 0.5957 |
|
| 286 |
+
| 0.3791 | 238.0 | 9996 | 0.5960 |
|
| 287 |
+
| 0.3764 | 239.0 | 10038 | 0.5956 |
|
| 288 |
+
| 0.3764 | 240.0 | 10080 | 0.5956 |
|
| 289 |
+
| 0.3764 | 241.0 | 10122 | 0.5955 |
|
| 290 |
+
| 0.3764 | 242.0 | 10164 | 0.5956 |
|
| 291 |
+
| 0.3764 | 243.0 | 10206 | 0.5955 |
|
| 292 |
+
| 0.3764 | 244.0 | 10248 | 0.5957 |
|
| 293 |
+
| 0.3764 | 245.0 | 10290 | 0.5956 |
|
| 294 |
+
| 0.3764 | 246.0 | 10332 | 0.5955 |
|
| 295 |
+
| 0.3764 | 247.0 | 10374 | 0.5954 |
|
| 296 |
+
| 0.3764 | 248.0 | 10416 | 0.5955 |
|
| 297 |
+
| 0.3764 | 249.0 | 10458 | 0.5954 |
|
| 298 |
+
| 0.3763 | 250.0 | 10500 | 0.5954 |
|
| 299 |
+
|
| 300 |
+
|
| 301 |
+
### Framework versions
|
| 302 |
+
|
| 303 |
+
- Transformers 4.25.1
|
| 304 |
+
- Pytorch 1.13.0+cu116
|
| 305 |
+
- Datasets 2.7.1
|
| 306 |
+
- Tokenizers 0.13.2
|