End of training
Browse files
README.md
CHANGED
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@@ -16,14 +16,14 @@ This student model is distilled from the teacher model [gpt2](https://huggingfac
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The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
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It achieves the following results on the evaluation set:
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- eval_enwikippl:
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- eval_frwikippl:
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- eval_zhwikippl:
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- eval_tinystoriesppl:
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- eval_loss: 1.
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- eval_runtime: 25.
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- eval_samples_per_second: 98.
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- eval_steps_per_second: 12.
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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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@@ -53,80 +53,80 @@ The following hyperparameters were used during training:
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type:
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- lr_scheduler_warmup_ratio: 0.5
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- num_epochs: 1.0
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### Resource Usage
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Peak GPU Memory: 7.
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### Eval-Phase Metrics
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| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| **teacher eval** | | 43.25 | 61.25 | | | | | 11.6875 | 19.125 |
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-
| 0 | 0 |
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| 68 |
-
| 1000 | 0.0162 |
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| 69 |
-
| 2000 | 0.0323 |
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| 70 |
-
| 3000 | 0.0485 |
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| 71 |
-
| 4000 | 0.0646 |
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| 72 |
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| 5000 | 0.0808 |
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| 73 |
-
| 6000 | 0.0970 |
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| 74 |
-
| 7000 | 0.1131 |
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| 75 |
-
| 8000 | 0.1293 |
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| 76 |
-
| 9000 | 0.1455 |
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| 77 |
-
| 10000 | 0.1616 |
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| 78 |
-
| 11000 | 0.1778 |
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| 79 |
-
| 12000 | 0.1939 |
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| 80 |
-
| 13000 | 0.2101 |
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| 81 |
-
| 14000 | 0.2263 |
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| 82 |
-
| 15000 | 0.2424 |
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| 83 |
-
| 16000 | 0.2586 |
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| 84 |
-
| 17000 | 0.2747 |
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| 85 |
-
| 18000 | 0.2909 |
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| 86 |
-
| 19000 | 0.3071 |
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| 87 |
-
| 20000 | 0.3232 |
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| 88 |
-
| 21000 | 0.3394 |
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| 89 |
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| 22000 | 0.3556 |
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| 90 |
-
| 23000 | 0.3717 |
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| 91 |
-
| 24000 | 0.3879 |
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| 92 |
-
| 25000 | 0.4040 |
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| 93 |
-
| 26000 | 0.4202 |
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| 94 |
-
| 27000 | 0.4364 |
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| 95 |
-
| 28000 | 0.4525 |
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| 96 |
-
| 29000 | 0.4687 |
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| 97 |
-
| 30000 | 0.4848 |
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| 98 |
-
| 31000 | 0.5010 |
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| 99 |
-
| 32000 | 0.5172 |
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| 100 |
-
| 33000 | 0.5333 |
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| 101 |
-
| 34000 | 0.5495 |
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| 102 |
-
| 35000 | 0.5657 |
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| 103 |
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| 36000 | 0.5818 |
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| 104 |
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| 37000 | 0.5980 |
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| 105 |
-
| 38000 | 0.6141 |
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| 106 |
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| 39000 | 0.6303 |
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| 107 |
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| 40000 | 0.6465 |
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| 108 |
-
| 41000 | 0.6626 |
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| 109 |
-
| 42000 | 0.6788 |
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| 110 |
-
| 43000 | 0.6949 |
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| 111 |
-
| 44000 | 0.7111 |
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| 112 |
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| 45000 | 0.7273 |
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| 113 |
-
| 46000 | 0.7434 |
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| 114 |
-
| 47000 | 0.7596 |
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| 115 |
-
| 48000 | 0.7758 |
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| 116 |
-
| 49000 | 0.7919 |
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| 117 |
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| 50000 | 0.8081 |
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| 118 |
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| 51000 | 0.8242 |
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| 119 |
-
| 52000 | 0.8404 |
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| 120 |
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| 53000 | 0.8566 |
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| 121 |
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| 54000 | 0.8727 |
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| 122 |
-
| 55000 | 0.8889 |
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| 123 |
-
| 56000 | 0.9051 |
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| 124 |
-
| 57000 | 0.9212 |
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| 125 |
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| 58000 | 0.9374 |
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| 126 |
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| 59000 | 0.9535 |
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| 60000 | 0.9697 |
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| 61000 | 0.9859 |
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| 61875 | 1.0 |
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### Framework versions
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- Distily 0.2.0
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The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
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It achieves the following results on the evaluation set:
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+
- eval_enwikippl: 208.0
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- eval_frwikippl: 796.0
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- eval_zhwikippl: 166.0
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- eval_tinystoriesppl: 166.0
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- eval_loss: 1.2497
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- eval_runtime: 25.4899
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- eval_samples_per_second: 98.078
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- eval_steps_per_second: 12.279
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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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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.5
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- num_epochs: 1.0
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### Resource Usage
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Peak GPU Memory: 7.2014 GB
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### Eval-Phase Metrics
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| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| **teacher eval** | | 43.25 | 61.25 | | | | | 11.6875 | 19.125 |
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| 0 | 0 | 854698491904.0 | 94557999988736.0 | 18.8626 | 25.4462 | 98.246 | 12.3 | 2550136832.0 | 34497177321472.0 |
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+
| 1000 | 0.0162 | 55040.0 | 1228800.0 | 4.9530 | 25.546 | 97.863 | 12.252 | 10688.0 | 3080192.0 |
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| 2000 | 0.0323 | 4048.0 | 37888.0 | 3.1978 | 25.5234 | 97.949 | 12.263 | 2816.0 | 327680.0 |
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| 3000 | 0.0485 | 1096.0 | 6464.0 | 2.3355 | 25.567 | 97.782 | 12.242 | 752.0 | 7296.0 |
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| 4000 | 0.0646 | 624.0 | 3904.0 | 1.9682 | 25.5721 | 97.763 | 12.24 | 418.0 | 1656.0 |
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| 5000 | 0.0808 | 416.0 | 2128.0 | 1.6585 | 25.4891 | 98.081 | 12.28 | 290.0 | 406.0 |
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| 6000 | 0.0970 | 312.0 | 1424.0 | 1.4638 | 25.6034 | 97.643 | 12.225 | 243.0 | 234.0 |
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| 7000 | 0.1131 | 260.0 | 872.0 | 1.3739 | 25.6059 | 97.634 | 12.224 | 198.0 | 210.0 |
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| 8000 | 0.1293 | 232.0 | 768.0 | 1.2985 | 25.5335 | 97.911 | 12.258 | 181.0 | 197.0 |
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| 9000 | 0.1455 | 208.0 | 796.0 | 1.2497 | 25.4899 | 98.078 | 12.279 | 166.0 | 166.0 |
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| 10000 | 0.1616 | 180.0 | 644.0 | 1.1413 | 25.5166 | 97.975 | 12.267 | 151.0 | 145.0 |
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| 11000 | 0.1778 | 155.0 | 552.0 | 1.0405 | 25.5119 | 97.994 | 12.269 | 123.5 | 161.0 |
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| 12000 | 0.1939 | 143.0 | 510.0 | 0.9691 | 25.5958 | 97.672 | 12.229 | 114.0 | 136.0 |
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| 13000 | 0.2101 | 127.0 | 446.0 | 0.9089 | 25.5873 | 97.705 | 12.233 | 101.0 | 153.0 |
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| 14000 | 0.2263 | 117.5 | 480.0 | 0.8634 | 25.5335 | 97.911 | 12.258 | 90.5 | 126.5 |
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| 15000 | 0.2424 | 113.5 | 466.0 | 0.8469 | 25.5278 | 97.932 | 12.261 | 85.5 | 108.0 |
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| 16000 | 0.2586 | 107.0 | 434.0 | 0.8045 | 25.5947 | 97.677 | 12.229 | 85.0 | 124.5 |
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| 17000 | 0.2747 | 103.5 | 398.0 | 0.7731 | 25.593 | 97.683 | 12.23 | 81.0 | 135.0 |
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| 18000 | 0.2909 | 99.0 | 378.0 | 0.7506 | 25.5316 | 97.918 | 12.259 | 81.5 | 122.0 |
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| 19000 | 0.3071 | 102.5 | 414.0 | 0.7708 | 25.6052 | 97.636 | 12.224 | 90.5 | 134.0 |
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| 20000 | 0.3232 | 89.5 | 376.0 | 0.6979 | 25.702 | 97.269 | 12.178 | 75.5 | 201.0 |
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| 21000 | 0.3394 | 82.5 | 328.0 | 0.6418 | 25.5751 | 97.751 | 12.238 | 69.5 | 119.5 |
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| 89 |
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| 22000 | 0.3556 | 81.0 | 294.0 | 0.6043 | 25.5312 | 97.92 | 12.26 | 65.5 | 117.5 |
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| 23000 | 0.3717 | 76.5 | 276.0 | 0.5839 | 25.5256 | 97.941 | 12.262 | 63.5 | 117.5 |
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| 24000 | 0.3879 | 74.5 | 260.0 | 0.5720 | 25.5583 | 97.816 | 12.247 | 60.25 | 115.0 |
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| 25000 | 0.4040 | 72.5 | 252.0 | 0.5538 | 25.7608 | 97.047 | 12.15 | 57.0 | 112.5 |
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| 26000 | 0.4202 | 70.0 | 238.0 | 0.5516 | 25.6446 | 97.486 | 12.205 | 56.0 | 144.0 |
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| 27000 | 0.4364 | 70.5 | 236.0 | 0.5374 | 25.5599 | 97.809 | 12.246 | 56.25 | 166.0 |
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| 28000 | 0.4525 | 69.5 | 232.0 | 0.5255 | 25.5888 | 97.699 | 12.232 | 54.25 | 87.5 |
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| 29000 | 0.4687 | 70.5 | 245.0 | 0.5362 | 25.5487 | 97.852 | 12.251 | 55.0 | 123.5 |
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| 30000 | 0.4848 | 70.5 | 240.0 | 0.5324 | 25.8213 | 96.819 | 12.122 | 56.25 | 83.0 |
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| 31000 | 0.5010 | 74.5 | 236.0 | 0.5325 | 25.7081 | 97.246 | 12.175 | 56.25 | 105.5 |
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| 32000 | 0.5172 | 70.5 | 238.0 | 0.5273 | 25.5231 | 97.95 | 12.263 | 56.25 | 126.5 |
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| 33000 | 0.5333 | 71.0 | 256.0 | 0.5217 | 25.7437 | 97.111 | 12.158 | 54.0 | 109.0 |
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| 34000 | 0.5495 | 71.5 | 248.0 | 0.5136 | 25.6807 | 97.349 | 12.188 | 58.5 | 201.0 |
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| 102 |
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| 35000 | 0.5657 | 70.5 | 230.0 | 0.5122 | 25.544 | 97.87 | 12.253 | 53.0 | 108.5 |
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| 36000 | 0.5818 | 70.0 | 234.0 | 0.5048 | 25.597 | 97.668 | 12.228 | 54.5 | 101.0 |
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| 37000 | 0.5980 | 71.5 | 220.0 | 0.4963 | 25.6094 | 97.62 | 12.222 | 56.0 | 96.0 |
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| 38000 | 0.6141 | 64.5 | 201.0 | 0.4774 | 25.5539 | 97.833 | 12.249 | 52.75 | 76.0 |
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| 106 |
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| 39000 | 0.6303 | 66.5 | 204.0 | 0.4773 | 25.5882 | 97.701 | 12.232 | 49.5 | 88.0 |
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| 107 |
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| 40000 | 0.6465 | 65.0 | 209.0 | 0.4727 | 25.5505 | 97.845 | 12.25 | 48.0 | 90.5 |
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| 108 |
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| 41000 | 0.6626 | 63.25 | 209.0 | 0.4634 | 25.5287 | 97.929 | 12.261 | 47.75 | 144.0 |
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| 109 |
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| 42000 | 0.6788 | 64.5 | 213.0 | 0.4608 | 25.5578 | 97.818 | 12.247 | 48.25 | 118.0 |
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| 43000 | 0.6949 | 62.25 | 191.0 | 0.4536 | 25.5708 | 97.768 | 12.241 | 48.75 | 73.0 |
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| 111 |
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| 44000 | 0.7111 | 62.25 | 191.0 | 0.4533 | 25.5689 | 97.775 | 12.241 | 47.75 | 80.0 |
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| 112 |
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| 45000 | 0.7273 | 59.75 | 180.0 | 0.4149 | 25.6074 | 97.628 | 12.223 | 42.75 | 61.25 |
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| 113 |
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| 46000 | 0.7434 | 58.0 | 168.0 | 0.3961 | 25.5788 | 97.737 | 12.237 | 42.0 | 54.0 |
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| 114 |
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| 47000 | 0.7596 | 56.75 | 159.0 | 0.3844 | 25.5179 | 97.97 | 12.266 | 41.25 | 48.75 |
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| 115 |
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| 48000 | 0.7758 | 56.5 | 157.0 | 0.3789 | 25.5851 | 97.713 | 12.234 | 41.0 | 53.5 |
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| 116 |
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| 49000 | 0.7919 | 56.5 | 154.0 | 0.3724 | 25.5249 | 97.944 | 12.263 | 40.0 | 43.75 |
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| 117 |
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| 50000 | 0.8081 | 55.25 | 153.0 | 0.3689 | 25.5064 | 98.015 | 12.271 | 39.5 | 44.75 |
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| 118 |
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| 51000 | 0.8242 | 54.75 | 151.0 | 0.3632 | 25.5055 | 98.018 | 12.272 | 38.5 | 47.5 |
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| 119 |
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| 52000 | 0.8404 | 54.0 | 149.0 | 0.3584 | 25.5897 | 97.696 | 12.231 | 38.25 | 45.5 |
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| 120 |
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| 53000 | 0.8566 | 54.0 | 148.0 | 0.3561 | 25.6987 | 97.281 | 12.18 | 38.25 | 43.25 |
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| 121 |
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| 54000 | 0.8727 | 54.5 | 150.0 | 0.3546 | 25.5535 | 97.834 | 12.249 | 38.25 | 41.0 |
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| 122 |
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| 55000 | 0.8889 | 54.0 | 147.0 | 0.3527 | 25.6836 | 97.338 | 12.187 | 38.25 | 40.75 |
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| 123 |
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| 56000 | 0.9051 | 54.0 | 147.0 | 0.3517 | 25.5234 | 97.949 | 12.263 | 37.75 | 40.75 |
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| 124 |
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| 57000 | 0.9212 | 54.0 | 148.0 | 0.3516 | 25.5369 | 97.897 | 12.257 | 37.75 | 40.5 |
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| 125 |
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| 58000 | 0.9374 | 53.75 | 147.0 | 0.3508 | 25.6411 | 97.5 | 12.207 | 38.0 | 40.0 |
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| 126 |
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| 59000 | 0.9535 | 53.75 | 147.0 | 0.3509 | 25.6546 | 97.448 | 12.201 | 37.75 | 40.25 |
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| 127 |
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| 60000 | 0.9697 | 53.75 | 147.0 | 0.3510 | 25.6875 | 97.324 | 12.185 | 37.75 | 40.25 |
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| 128 |
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| 61000 | 0.9859 | 53.75 | 147.0 | 0.3511 | 25.583 | 97.721 | 12.235 | 37.75 | 40.25 |
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| 129 |
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| 61875 | 1.0 | 53.75 | 147.0 | 0.3509 | 25.5525 | 97.838 | 12.249 | 37.75 | 40.25 |
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### Framework versions
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- Distily 0.2.0
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logs/lr_scheduler_type=cosine, warmup_ratio=0.5/events.out.tfevents.1724162963.f383272e719b
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version https://git-lfs.github.com/spec/v1
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oid sha256:88e2fe0f04ae24dd718df32fc4bdd2828320943b13eb023a66c9097c84eb90cb
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size 312
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