AlexWang99 commited on
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End of training

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README.md CHANGED
@@ -1,21 +1,19 @@
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  ---
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- license: apache-2.0
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- base_model: google/byt5-small
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: byt5_add_3k
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  results: []
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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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- # byt5_add_3k
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- This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1766
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  ## Model description
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@@ -40,122 +38,62 @@ The following hyperparameters were used during training:
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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: linear
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- - num_epochs: 110
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 4 | 1.3957 |
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- | No log | 2.0 | 8 | 1.4048 |
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- | No log | 3.0 | 12 | 1.3851 |
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- | No log | 4.0 | 16 | 1.3645 |
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- | No log | 5.0 | 20 | 1.3509 |
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- | No log | 6.0 | 24 | 1.3359 |
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- | No log | 7.0 | 28 | 1.3041 |
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- | No log | 8.0 | 32 | 1.2958 |
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- | No log | 9.0 | 36 | 1.2636 |
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- | No log | 10.0 | 40 | 1.2441 |
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- | No log | 11.0 | 44 | 1.2332 |
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- | No log | 12.0 | 48 | 1.2012 |
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- | No log | 13.0 | 52 | 1.1870 |
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- | No log | 14.0 | 56 | 1.1519 |
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- | No log | 15.0 | 60 | 1.1414 |
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- | No log | 16.0 | 64 | 1.0864 |
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- | No log | 17.0 | 68 | 1.0612 |
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- | No log | 18.0 | 72 | 1.0090 |
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- | No log | 19.0 | 76 | 0.9999 |
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- | No log | 20.0 | 80 | 0.9521 |
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- | No log | 21.0 | 84 | 0.9199 |
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- | No log | 22.0 | 88 | 0.8743 |
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- | No log | 23.0 | 92 | 0.8638 |
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- | No log | 24.0 | 96 | 0.8124 |
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- | No log | 25.0 | 100 | 0.7750 |
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- | No log | 26.0 | 104 | 0.7489 |
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- | No log | 27.0 | 108 | 0.7135 |
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- | No log | 28.0 | 112 | 0.6778 |
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- | No log | 29.0 | 116 | 0.6628 |
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- | No log | 30.0 | 120 | 0.6153 |
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- | No log | 31.0 | 124 | 0.6009 |
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- | No log | 32.0 | 128 | 0.5706 |
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- | No log | 33.0 | 132 | 0.5482 |
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- | No log | 34.0 | 136 | 0.5287 |
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- | No log | 35.0 | 140 | 0.4996 |
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- | No log | 36.0 | 144 | 0.4935 |
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- | No log | 37.0 | 148 | 0.4705 |
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- | No log | 38.0 | 152 | 0.4644 |
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- | No log | 39.0 | 156 | 0.4404 |
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- | No log | 40.0 | 160 | 0.4106 |
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- | No log | 41.0 | 164 | 0.4120 |
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- | No log | 42.0 | 168 | 0.3937 |
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- | No log | 43.0 | 172 | 0.3880 |
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- | No log | 44.0 | 176 | 0.3695 |
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- | No log | 45.0 | 180 | 0.3682 |
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- | No log | 46.0 | 184 | 0.3635 |
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- | No log | 47.0 | 188 | 0.3411 |
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- | No log | 48.0 | 192 | 0.3421 |
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- | No log | 49.0 | 196 | 0.3298 |
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- | No log | 50.0 | 200 | 0.3286 |
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- | No log | 51.0 | 204 | 0.3181 |
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- | No log | 52.0 | 208 | 0.3181 |
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- | No log | 53.0 | 212 | 0.3194 |
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- | No log | 54.0 | 216 | 0.2972 |
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- | No log | 55.0 | 220 | 0.2896 |
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- | No log | 56.0 | 224 | 0.2812 |
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- | No log | 57.0 | 228 | 0.2807 |
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- | No log | 58.0 | 232 | 0.2822 |
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- | No log | 59.0 | 236 | 0.2739 |
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- | No log | 60.0 | 240 | 0.2596 |
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- | No log | 61.0 | 244 | 0.2645 |
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- | No log | 62.0 | 248 | 0.2503 |
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- | No log | 63.0 | 252 | 0.2419 |
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- | No log | 64.0 | 256 | 0.2520 |
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- | No log | 65.0 | 260 | 0.2402 |
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- | No log | 66.0 | 264 | 0.2362 |
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- | No log | 67.0 | 268 | 0.2397 |
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- | No log | 68.0 | 272 | 0.2406 |
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- | No log | 69.0 | 276 | 0.2262 |
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- | No log | 70.0 | 280 | 0.2213 |
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- | No log | 71.0 | 284 | 0.2344 |
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- | No log | 72.0 | 288 | 0.2181 |
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- | No log | 73.0 | 292 | 0.2140 |
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- | No log | 74.0 | 296 | 0.2171 |
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- | No log | 75.0 | 300 | 0.2188 |
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- | No log | 76.0 | 304 | 0.2127 |
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- | No log | 77.0 | 308 | 0.2057 |
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- | No log | 78.0 | 312 | 0.2064 |
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- | No log | 79.0 | 316 | 0.2072 |
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- | No log | 80.0 | 320 | 0.2002 |
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- | No log | 81.0 | 324 | 0.2040 |
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- | No log | 82.0 | 328 | 0.1954 |
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- | No log | 83.0 | 332 | 0.1956 |
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- | No log | 84.0 | 336 | 0.1963 |
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- | No log | 85.0 | 340 | 0.1920 |
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- | No log | 86.0 | 344 | 0.1808 |
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- | No log | 87.0 | 348 | 0.1833 |
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- | No log | 88.0 | 352 | 0.1969 |
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- | No log | 89.0 | 356 | 0.2011 |
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- | No log | 90.0 | 360 | 0.1867 |
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- | No log | 91.0 | 364 | 0.1774 |
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- | No log | 92.0 | 368 | 0.1814 |
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- | No log | 93.0 | 372 | 0.1862 |
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- | No log | 94.0 | 376 | 0.1857 |
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- | No log | 95.0 | 380 | 0.1779 |
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- | No log | 96.0 | 384 | 0.1727 |
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- | No log | 97.0 | 388 | 0.1717 |
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- | No log | 98.0 | 392 | 0.1776 |
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- | No log | 99.0 | 396 | 0.1856 |
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- | No log | 100.0 | 400 | 0.1867 |
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- | No log | 101.0 | 404 | 0.1824 |
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- | No log | 102.0 | 408 | 0.1772 |
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- | No log | 103.0 | 412 | 0.1721 |
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- | No log | 104.0 | 416 | 0.1696 |
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- | No log | 105.0 | 420 | 0.1696 |
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- | No log | 106.0 | 424 | 0.1719 |
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- | No log | 107.0 | 428 | 0.1740 |
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- | No log | 108.0 | 432 | 0.1755 |
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- | No log | 109.0 | 436 | 0.1763 |
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- | No log | 110.0 | 440 | 0.1766 |
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  ### Framework versions
 
1
  ---
 
 
2
  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: byt5_3k
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  results: []
7
  ---
8
 
9
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
10
  should probably proofread and complete it, then remove this comment. -->
11
 
12
+ # byt5_3k
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+ This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0786
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  ## Model description
19
 
 
38
  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
40
  - lr_scheduler_type: linear
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+ - num_epochs: 50
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43
  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 4 | 0.1739 |
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+ | No log | 2.0 | 8 | 0.1598 |
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+ | 0.3456 | 3.0 | 12 | 0.1841 |
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+ | 0.3456 | 4.0 | 16 | 0.1430 |
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+ | 0.3252 | 5.0 | 20 | 0.1628 |
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+ | 0.3252 | 6.0 | 24 | 0.1406 |
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+ | 0.3252 | 7.0 | 28 | 0.1349 |
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+ | 0.3058 | 8.0 | 32 | 0.1498 |
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+ | 0.3058 | 9.0 | 36 | 0.1371 |
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+ | 0.2953 | 10.0 | 40 | 0.1417 |
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+ | 0.2953 | 11.0 | 44 | 0.1371 |
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+ | 0.2953 | 12.0 | 48 | 0.1222 |
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+ | 0.2827 | 13.0 | 52 | 0.1317 |
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+ | 0.2827 | 14.0 | 56 | 0.1227 |
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+ | 0.2719 | 15.0 | 60 | 0.1128 |
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+ | 0.2719 | 16.0 | 64 | 0.1209 |
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+ | 0.2719 | 17.0 | 68 | 0.1200 |
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+ | 0.2698 | 18.0 | 72 | 0.1149 |
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+ | 0.2698 | 19.0 | 76 | 0.1090 |
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+ | 0.2473 | 20.0 | 80 | 0.1045 |
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+ | 0.2473 | 21.0 | 84 | 0.1174 |
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+ | 0.2473 | 22.0 | 88 | 0.1056 |
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+ | 0.2492 | 23.0 | 92 | 0.0976 |
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+ | 0.2492 | 24.0 | 96 | 0.1164 |
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+ | 0.2377 | 25.0 | 100 | 0.0974 |
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+ | 0.2377 | 26.0 | 104 | 0.0922 |
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+ | 0.2377 | 27.0 | 108 | 0.1022 |
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+ | 0.2312 | 28.0 | 112 | 0.0908 |
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+ | 0.2312 | 29.0 | 116 | 0.0891 |
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+ | 0.2254 | 30.0 | 120 | 0.0967 |
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+ | 0.2254 | 31.0 | 124 | 0.0930 |
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+ | 0.2254 | 32.0 | 128 | 0.0866 |
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+ | 0.224 | 33.0 | 132 | 0.0828 |
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+ | 0.224 | 34.0 | 136 | 0.0850 |
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+ | 0.2166 | 35.0 | 140 | 0.0883 |
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+ | 0.2166 | 36.0 | 144 | 0.0825 |
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+ | 0.2166 | 37.0 | 148 | 0.0804 |
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+ | 0.2128 | 38.0 | 152 | 0.0855 |
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+ | 0.2128 | 39.0 | 156 | 0.0865 |
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+ | 0.2048 | 40.0 | 160 | 0.0798 |
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+ | 0.2048 | 41.0 | 164 | 0.0787 |
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+ | 0.2048 | 42.0 | 168 | 0.0802 |
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+ | 0.2063 | 43.0 | 172 | 0.0812 |
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+ | 0.2063 | 44.0 | 176 | 0.0803 |
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+ | 0.2075 | 45.0 | 180 | 0.0779 |
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+ | 0.2075 | 46.0 | 184 | 0.0773 |
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+ | 0.2075 | 47.0 | 188 | 0.0772 |
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+ | 0.1997 | 48.0 | 192 | 0.0781 |
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+ | 0.1997 | 49.0 | 196 | 0.0783 |
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+ | 0.2074 | 50.0 | 200 | 0.0786 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "google/byt5-small",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
 
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  {
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+ "_name_or_path": "AlexWang99/byt5_3k",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
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