Upload model
Browse files- README.md +603 -6
- tf_model.h5 +1 -1
README.md
CHANGED
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@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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-
- Train Loss:
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-
- Epoch:
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## Model description
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@@ -35,16 +35,613 @@ More information needed
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### Training hyperparameters
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The following hyperparameters were used during training:
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-
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate':
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- training_precision: float32
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### Training results
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| Train Loss | Epoch |
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|:----------:|:-----:|
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-
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-
| 3.
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-
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| 48 |
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### Framework versions
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| 15 |
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| 16 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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| 17 |
It achieves the following results on the evaluation set:
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| 18 |
+
- Train Loss: 0.0347
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| 19 |
+
- Epoch: 599
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| 20 |
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| 21 |
## Model description
|
| 22 |
|
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| 35 |
### Training hyperparameters
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| 36 |
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| 37 |
The following hyperparameters were used during training:
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| 38 |
+
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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| 41 |
### Training results
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| 42 |
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| 43 |
| Train Loss | Epoch |
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| 44 |
|:----------:|:-----:|
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| 45 |
+
| 14.1299 | 0 |
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+
| 3.0898 | 1 |
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| 2.8086 | 2 |
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| 2.6899 | 3 |
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| 2.5834 | 4 |
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| 2.5116 | 5 |
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| 2.4435 | 6 |
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| 2.3961 | 7 |
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| 2.3446 | 8 |
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| 2.3011 | 9 |
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| 2.2651 | 10 |
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| 2.2280 | 11 |
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| 2.2007 | 12 |
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| 2.1640 | 13 |
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| 2.1350 | 14 |
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| 2.1105 | 15 |
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| 2.0776 | 16 |
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| 2.0486 | 17 |
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| 2.0297 | 18 |
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| 2.0114 | 19 |
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| 1.9887 | 20 |
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| 66 |
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| 1.9679 | 21 |
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| 67 |
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| 1.9495 | 22 |
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| 68 |
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| 1.9376 | 23 |
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| 69 |
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| 1.9145 | 24 |
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| 70 |
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| 1.9036 | 25 |
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| 71 |
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| 1.8915 | 26 |
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| 72 |
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| 1.8738 | 27 |
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| 73 |
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| 1.8624 | 28 |
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| 74 |
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| 1.8496 | 29 |
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| 75 |
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| 1.8310 | 30 |
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| 1.8196 | 31 |
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| 77 |
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| 1.8074 | 32 |
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| 78 |
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| 1.8021 | 33 |
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| 79 |
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| 1.7813 | 34 |
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| 80 |
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| 1.7681 | 35 |
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| 81 |
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| 1.7548 | 36 |
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| 82 |
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| 1.7386 | 37 |
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| 83 |
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| 1.7325 | 38 |
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| 84 |
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| 1.7149 | 39 |
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| 85 |
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| 1.7051 | 40 |
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| 86 |
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| 1.7001 | 41 |
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| 87 |
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| 1.6815 | 42 |
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| 88 |
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| 1.6765 | 43 |
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| 89 |
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| 1.6667 | 44 |
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| 90 |
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| 1.6528 | 45 |
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| 91 |
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| 1.6373 | 46 |
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| 92 |
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| 1.6269 | 47 |
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| 93 |
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| 1.6237 | 48 |
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| 94 |
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| 1.6046 | 49 |
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| 95 |
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| 1.6005 | 50 |
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| 96 |
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| 1.5919 | 51 |
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| 1.5767 | 52 |
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| 98 |
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| 1.5617 | 53 |
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| 1.5556 | 54 |
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| 100 |
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| 1.5461 | 55 |
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| 1.5311 | 56 |
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| 1.5313 | 57 |
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| 1.5116 | 58 |
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| 1.5020 | 59 |
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| 1.4975 | 60 |
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| 1.4897 | 61 |
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| 1.4834 | 62 |
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| 1.4677 | 63 |
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| 1.4672 | 64 |
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| 1.4470 | 65 |
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| 1.4409 | 66 |
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| 1.4284 | 67 |
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| 1.4202 | 68 |
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| 1.4174 | 69 |
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| 1.4007 | 70 |
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| 1.3930 | 71 |
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| 117 |
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| 1.3868 | 72 |
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| 118 |
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| 1.3702 | 73 |
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| 119 |
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| 1.3636 | 74 |
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| 120 |
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| 1.3557 | 75 |
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| 1.3417 | 76 |
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| 1.3321 | 77 |
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| 1.3206 | 78 |
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| 124 |
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| 1.3135 | 79 |
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| 1.3087 | 80 |
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| 126 |
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| 1.2974 | 81 |
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| 127 |
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| 1.2856 | 82 |
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| 128 |
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| 1.2734 | 83 |
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| 1.2660 | 84 |
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| 1.2571 | 85 |
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| 1.2528 | 86 |
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| 132 |
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| 1.2330 | 87 |
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| 1.2214 | 88 |
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| 1.2126 | 89 |
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| 1.2075 | 90 |
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| 136 |
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| 1.1932 | 91 |
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| 137 |
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| 1.1928 | 92 |
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| 138 |
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| 1.1717 | 93 |
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| 139 |
+
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 397 |
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| 398 |
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| 399 |
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| 400 |
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| 401 |
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| 404 |
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| 405 |
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| 407 |
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| 410 |
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| 414 |
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| 415 |
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| 430 |
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| 432 |
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| 434 |
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| 435 |
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| 436 |
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| 438 |
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| 439 |
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| 440 |
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| 441 |
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| 442 |
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| 443 |
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| 444 |
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| 445 |
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| 446 |
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| 447 |
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| 448 |
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| 449 |
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| 456 |
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| 463 |
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| 464 |
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| 465 |
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| 466 |
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| 467 |
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| 468 |
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| 469 |
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| 470 |
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| 471 |
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| 472 |
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| 473 |
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| 474 |
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| 475 |
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| 476 |
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| 477 |
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| 478 |
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| 479 |
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| 480 |
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| 481 |
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| 483 |
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| 484 |
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| 485 |
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| 486 |
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| 487 |
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| 488 |
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| 490 |
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| 492 |
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| 493 |
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| 494 |
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| 495 |
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| 496 |
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| 497 |
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| 498 |
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| 499 |
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| 500 |
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| 501 |
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| 502 |
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| 503 |
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| 504 |
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| 505 |
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| 506 |
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| 507 |
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| 508 |
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| 509 |
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| 510 |
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| 512 |
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| 513 |
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| 514 |
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| 515 |
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| 516 |
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| 517 |
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| 518 |
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| 519 |
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| 520 |
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| 521 |
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| 522 |
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| 523 |
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| 525 |
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| 526 |
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| 527 |
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| 528 |
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| 529 |
+
| 0.0381 | 484 |
|
| 530 |
+
| 0.0373 | 485 |
|
| 531 |
+
| 0.0390 | 486 |
|
| 532 |
+
| 0.0375 | 487 |
|
| 533 |
+
| 0.0371 | 488 |
|
| 534 |
+
| 0.0393 | 489 |
|
| 535 |
+
| 0.0382 | 490 |
|
| 536 |
+
| 0.0397 | 491 |
|
| 537 |
+
| 0.0389 | 492 |
|
| 538 |
+
| 0.0400 | 493 |
|
| 539 |
+
| 0.0387 | 494 |
|
| 540 |
+
| 0.0388 | 495 |
|
| 541 |
+
| 0.0383 | 496 |
|
| 542 |
+
| 0.0366 | 497 |
|
| 543 |
+
| 0.0380 | 498 |
|
| 544 |
+
| 0.0379 | 499 |
|
| 545 |
+
| 0.0390 | 500 |
|
| 546 |
+
| 0.0401 | 501 |
|
| 547 |
+
| 0.0392 | 502 |
|
| 548 |
+
| 0.0368 | 503 |
|
| 549 |
+
| 0.0386 | 504 |
|
| 550 |
+
| 0.0369 | 505 |
|
| 551 |
+
| 0.0373 | 506 |
|
| 552 |
+
| 0.0376 | 507 |
|
| 553 |
+
| 0.0380 | 508 |
|
| 554 |
+
| 0.0374 | 509 |
|
| 555 |
+
| 0.0401 | 510 |
|
| 556 |
+
| 0.0391 | 511 |
|
| 557 |
+
| 0.0373 | 512 |
|
| 558 |
+
| 0.0383 | 513 |
|
| 559 |
+
| 0.0372 | 514 |
|
| 560 |
+
| 0.0378 | 515 |
|
| 561 |
+
| 0.0384 | 516 |
|
| 562 |
+
| 0.0371 | 517 |
|
| 563 |
+
| 0.0359 | 518 |
|
| 564 |
+
| 0.0354 | 519 |
|
| 565 |
+
| 0.0366 | 520 |
|
| 566 |
+
| 0.0442 | 521 |
|
| 567 |
+
| 0.0393 | 522 |
|
| 568 |
+
| 0.0378 | 523 |
|
| 569 |
+
| 0.0370 | 524 |
|
| 570 |
+
| 0.0382 | 525 |
|
| 571 |
+
| 0.0366 | 526 |
|
| 572 |
+
| 0.0380 | 527 |
|
| 573 |
+
| 0.0370 | 528 |
|
| 574 |
+
| 0.0393 | 529 |
|
| 575 |
+
| 0.0361 | 530 |
|
| 576 |
+
| 0.0364 | 531 |
|
| 577 |
+
| 0.0390 | 532 |
|
| 578 |
+
| 0.0371 | 533 |
|
| 579 |
+
| 0.0367 | 534 |
|
| 580 |
+
| 0.0376 | 535 |
|
| 581 |
+
| 0.0365 | 536 |
|
| 582 |
+
| 0.0371 | 537 |
|
| 583 |
+
| 0.0374 | 538 |
|
| 584 |
+
| 0.0378 | 539 |
|
| 585 |
+
| 0.0355 | 540 |
|
| 586 |
+
| 0.0352 | 541 |
|
| 587 |
+
| 0.0342 | 542 |
|
| 588 |
+
| 0.0348 | 543 |
|
| 589 |
+
| 0.0361 | 544 |
|
| 590 |
+
| 0.0380 | 545 |
|
| 591 |
+
| 0.0367 | 546 |
|
| 592 |
+
| 0.0354 | 547 |
|
| 593 |
+
| 0.0341 | 548 |
|
| 594 |
+
| 0.0352 | 549 |
|
| 595 |
+
| 0.0344 | 550 |
|
| 596 |
+
| 0.0348 | 551 |
|
| 597 |
+
| 0.0354 | 552 |
|
| 598 |
+
| 0.0370 | 553 |
|
| 599 |
+
| 0.0379 | 554 |
|
| 600 |
+
| 0.0362 | 555 |
|
| 601 |
+
| 0.0366 | 556 |
|
| 602 |
+
| 0.0369 | 557 |
|
| 603 |
+
| 0.0355 | 558 |
|
| 604 |
+
| 0.0359 | 559 |
|
| 605 |
+
| 0.0371 | 560 |
|
| 606 |
+
| 0.0359 | 561 |
|
| 607 |
+
| 0.0344 | 562 |
|
| 608 |
+
| 0.0355 | 563 |
|
| 609 |
+
| 0.0361 | 564 |
|
| 610 |
+
| 0.0345 | 565 |
|
| 611 |
+
| 0.0345 | 566 |
|
| 612 |
+
| 0.0348 | 567 |
|
| 613 |
+
| 0.0343 | 568 |
|
| 614 |
+
| 0.0340 | 569 |
|
| 615 |
+
| 0.0351 | 570 |
|
| 616 |
+
| 0.0344 | 571 |
|
| 617 |
+
| 0.0341 | 572 |
|
| 618 |
+
| 0.0350 | 573 |
|
| 619 |
+
| 0.0341 | 574 |
|
| 620 |
+
| 0.0347 | 575 |
|
| 621 |
+
| 0.0336 | 576 |
|
| 622 |
+
| 0.0339 | 577 |
|
| 623 |
+
| 0.0334 | 578 |
|
| 624 |
+
| 0.0340 | 579 |
|
| 625 |
+
| 0.0349 | 580 |
|
| 626 |
+
| 0.0356 | 581 |
|
| 627 |
+
| 0.0353 | 582 |
|
| 628 |
+
| 0.0356 | 583 |
|
| 629 |
+
| 0.0369 | 584 |
|
| 630 |
+
| 0.0360 | 585 |
|
| 631 |
+
| 0.0358 | 586 |
|
| 632 |
+
| 0.0354 | 587 |
|
| 633 |
+
| 0.0350 | 588 |
|
| 634 |
+
| 0.0359 | 589 |
|
| 635 |
+
| 0.0363 | 590 |
|
| 636 |
+
| 0.0342 | 591 |
|
| 637 |
+
| 0.0355 | 592 |
|
| 638 |
+
| 0.0352 | 593 |
|
| 639 |
+
| 0.0337 | 594 |
|
| 640 |
+
| 0.0333 | 595 |
|
| 641 |
+
| 0.0343 | 596 |
|
| 642 |
+
| 0.0352 | 597 |
|
| 643 |
+
| 0.0333 | 598 |
|
| 644 |
+
| 0.0347 | 599 |
|
| 645 |
|
| 646 |
|
| 647 |
### Framework versions
|
tf_model.h5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 497938624
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:719cf31df1e00fb9b8e157a8fc997827fbb1775d3061ad8529c509b32671230e
|
| 3 |
size 497938624
|