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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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| 3 |
+
base_model: facebook/wav2vec2-xls-r-300m
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| 4 |
+
tags:
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| 5 |
+
- generated_from_trainer
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| 6 |
+
datasets:
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| 7 |
+
- ascend
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| 8 |
+
metrics:
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| 9 |
+
- wer
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| 10 |
+
model-index:
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| 11 |
+
- name: wav2vec2-large-xls-r-300m-codemix-gpu1
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| 12 |
+
results:
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| 13 |
+
- task:
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| 14 |
+
name: Automatic Speech Recognition
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| 15 |
+
type: automatic-speech-recognition
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| 16 |
+
dataset:
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| 17 |
+
name: ascend
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| 18 |
+
type: ascend
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| 19 |
+
config: main
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| 20 |
+
split: test
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| 21 |
+
args: main
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| 22 |
+
metrics:
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| 23 |
+
- name: Wer
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| 24 |
+
type: wer
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| 25 |
+
value: 0.5050287356321839
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| 26 |
+
---
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| 27 |
+
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| 28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 29 |
+
should probably proofread and complete it, then remove this comment. -->
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| 30 |
+
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| 31 |
+
# wav2vec2-large-xls-r-300m-codemix-gpu1
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| 32 |
+
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| 33 |
+
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the ascend dataset.
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| 34 |
+
It achieves the following results on the evaluation set:
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| 35 |
+
- Loss: 2.2061
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| 36 |
+
- Wer: 0.5050
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| 37 |
+
- Cer: 0.1982
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| 38 |
+
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| 39 |
+
## Model description
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| 40 |
+
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| 41 |
+
More information needed
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| 42 |
+
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| 43 |
+
## Intended uses & limitations
|
| 44 |
+
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| 45 |
+
More information needed
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| 46 |
+
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| 47 |
+
## Training and evaluation data
|
| 48 |
+
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| 49 |
+
More information needed
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| 50 |
+
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| 51 |
+
## Training procedure
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| 52 |
+
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| 53 |
+
### Training hyperparameters
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| 54 |
+
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| 55 |
+
The following hyperparameters were used during training:
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| 56 |
+
- learning_rate: 5e-05
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| 57 |
+
- train_batch_size: 13
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| 58 |
+
- eval_batch_size: 8
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| 59 |
+
- seed: 42
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| 60 |
+
- gradient_accumulation_steps: 2
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| 61 |
+
- total_train_batch_size: 26
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| 62 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 63 |
+
- lr_scheduler_type: linear
|
| 64 |
+
- lr_scheduler_warmup_steps: 500
|
| 65 |
+
- num_epochs: 300
|
| 66 |
+
|
| 67 |
+
### Training results
|
| 68 |
+
|
| 69 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|
| 70 |
+
|:-------------:|:------:|:------:|:---------------:|:------:|:------:|
|
| 71 |
+
| No log | 0.94 | 400 | 21.9000 | 1.0 | 1.0 |
|
| 72 |
+
| 38.4951 | 1.89 | 800 | 5.6544 | 1.0 | 1.0 |
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| 73 |
+
| 5.8527 | 2.83 | 1200 | 5.4920 | 1.0 | 1.0 |
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| 74 |
+
| 5.4391 | 3.78 | 1600 | 5.3156 | 1.0 | 1.0 |
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| 75 |
+
| 5.1782 | 4.72 | 2000 | 5.0525 | 1.0 | 1.0 |
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| 76 |
+
| 5.1782 | 5.67 | 2400 | 4.9258 | 1.0 | 1.0 |
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| 77 |
+
| 4.9333 | 6.61 | 2800 | 4.7009 | 1.0 | 1.0 |
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| 78 |
+
| 4.7205 | 7.56 | 3200 | 4.4642 | 1.0 | 1.0 |
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| 79 |
+
| 4.4312 | 8.5 | 3600 | 3.9080 | 0.9634 | 0.9246 |
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| 80 |
+
| 3.5483 | 9.45 | 4000 | 2.9466 | 0.9271 | 0.7290 |
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| 81 |
+
| 3.5483 | 10.39 | 4400 | 2.3584 | 0.9159 | 0.5206 |
|
| 82 |
+
| 2.5687 | 11.33 | 4800 | 2.0802 | 0.8114 | 0.3977 |
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| 83 |
+
| 1.9323 | 12.28 | 5200 | 1.8289 | 0.7421 | 0.3429 |
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| 84 |
+
| 1.5981 | 13.22 | 5600 | 1.7033 | 0.6835 | 0.3166 |
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| 85 |
+
| 1.3129 | 14.17 | 6000 | 1.5895 | 0.6491 | 0.3017 |
|
| 86 |
+
| 1.3129 | 15.11 | 6400 | 1.5779 | 0.6433 | 0.3033 |
|
| 87 |
+
| 1.1235 | 16.06 | 6800 | 1.4794 | 0.6131 | 0.2863 |
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| 88 |
+
| 0.9964 | 17.0 | 7200 | 1.4897 | 0.6182 | 0.2960 |
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| 89 |
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| 0.8708 | 17.95 | 7600 | 1.4468 | 0.6114 | 0.2659 |
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| 90 |
+
| 0.7861 | 18.89 | 8000 | 1.4461 | 0.5995 | 0.2614 |
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| 91 |
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| 0.7861 | 19.83 | 8400 | 1.4869 | 0.5952 | 0.2678 |
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| 92 |
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| 0.6926 | 20.78 | 8800 | 1.4592 | 0.5833 | 0.2549 |
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| 93 |
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| 0.6153 | 21.72 | 9200 | 1.4053 | 0.5855 | 0.2530 |
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| 94 |
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| 0.5642 | 22.67 | 9600 | 1.3772 | 0.5787 | 0.2409 |
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| 95 |
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| 0.5081 | 23.61 | 10000 | 1.4347 | 0.5833 | 0.2423 |
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| 96 |
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| 0.5081 | 24.56 | 10400 | 1.3555 | 0.5690 | 0.2427 |
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| 97 |
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| 0.4667 | 25.5 | 10800 | 1.3732 | 0.5657 | 0.2381 |
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| 98 |
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| 0.4062 | 26.45 | 11200 | 1.4353 | 0.5726 | 0.2373 |
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| 99 |
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| 0.3684 | 27.39 | 11600 | 1.3958 | 0.5661 | 0.2351 |
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| 100 |
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| 0.326 | 28.34 | 12000 | 1.5068 | 0.5797 | 0.2361 |
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| 101 |
+
| 0.326 | 29.28 | 12400 | 1.4500 | 0.5546 | 0.2291 |
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| 102 |
+
| 0.305 | 30.22 | 12800 | 1.4933 | 0.5560 | 0.2329 |
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| 103 |
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| 0.2743 | 31.17 | 13200 | 1.4684 | 0.5463 | 0.2295 |
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| 104 |
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| 0.2529 | 32.11 | 13600 | 1.4816 | 0.5629 | 0.2310 |
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| 105 |
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| 0.2231 | 33.06 | 14000 | 1.4672 | 0.5370 | 0.2251 |
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| 106 |
+
| 0.2231 | 34.0 | 14400 | 1.5095 | 0.5514 | 0.2274 |
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| 107 |
+
| 0.1979 | 34.95 | 14800 | 1.5443 | 0.5514 | 0.2288 |
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| 108 |
+
| 0.184 | 35.89 | 15200 | 1.5431 | 0.5442 | 0.2241 |
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| 109 |
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| 0.1663 | 36.84 | 15600 | 1.5377 | 0.5471 | 0.2221 |
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| 110 |
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| 0.1597 | 37.78 | 16000 | 1.5782 | 0.5496 | 0.2261 |
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| 111 |
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| 0.1597 | 38.72 | 16400 | 1.6236 | 0.5578 | 0.2246 |
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| 112 |
+
| 0.1371 | 39.67 | 16800 | 1.6783 | 0.5550 | 0.2256 |
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| 113 |
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| 0.1348 | 40.61 | 17200 | 1.7202 | 0.5589 | 0.2276 |
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| 114 |
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| 0.1215 | 41.56 | 17600 | 1.6399 | 0.5485 | 0.2237 |
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| 115 |
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| 0.1138 | 42.5 | 18000 | 1.6724 | 0.5445 | 0.2210 |
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| 116 |
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| 0.1138 | 43.45 | 18400 | 1.7090 | 0.5374 | 0.2217 |
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| 117 |
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| 0.0992 | 44.39 | 18800 | 1.6476 | 0.5503 | 0.2264 |
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| 118 |
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| 0.1001 | 45.34 | 19200 | 1.6959 | 0.5524 | 0.2251 |
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| 119 |
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| 0.0925 | 46.28 | 19600 | 1.8083 | 0.5639 | 0.2270 |
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| 120 |
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| 0.0848 | 47.23 | 20000 | 1.7361 | 0.5506 | 0.2229 |
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| 121 |
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| 0.0848 | 48.17 | 20400 | 1.7499 | 0.5471 | 0.2231 |
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| 122 |
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| 0.0852 | 49.11 | 20800 | 1.7702 | 0.5510 | 0.2254 |
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| 123 |
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| 0.0792 | 50.06 | 21200 | 1.7595 | 0.5467 | 0.2230 |
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| 124 |
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| 0.0717 | 51.0 | 21600 | 1.7661 | 0.5535 | 0.2196 |
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| 125 |
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| 0.0669 | 51.95 | 22000 | 1.6757 | 0.5603 | 0.2307 |
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| 126 |
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| 0.0669 | 52.89 | 22400 | 1.7932 | 0.5596 | 0.2222 |
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| 127 |
+
| 0.0689 | 53.84 | 22800 | 1.7859 | 0.5535 | 0.2192 |
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| 128 |
+
| 0.066 | 54.78 | 23200 | 1.7322 | 0.5463 | 0.2195 |
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| 129 |
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| 0.0721 | 55.73 | 23600 | 1.7828 | 0.5517 | 0.2235 |
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| 130 |
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| 0.057 | 56.67 | 24000 | 1.8470 | 0.5420 | 0.2170 |
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| 131 |
+
| 0.057 | 57.62 | 24400 | 1.8273 | 0.5471 | 0.2219 |
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| 132 |
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| 0.0615 | 58.56 | 24800 | 1.8081 | 0.5453 | 0.2226 |
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| 133 |
+
| 0.0584 | 59.5 | 25200 | 1.8340 | 0.5388 | 0.2145 |
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| 134 |
+
| 0.048 | 60.45 | 25600 | 1.8584 | 0.5424 | 0.2202 |
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| 135 |
+
| 0.0545 | 61.39 | 26000 | 1.8483 | 0.5420 | 0.2176 |
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| 136 |
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| 0.0545 | 62.34 | 26400 | 1.8932 | 0.5585 | 0.2259 |
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| 137 |
+
| 0.0525 | 63.28 | 26800 | 1.8906 | 0.5427 | 0.2215 |
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| 138 |
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| 0.0458 | 64.23 | 27200 | 1.7618 | 0.5431 | 0.2160 |
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| 139 |
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| 0.0421 | 65.17 | 27600 | 2.0073 | 0.5377 | 0.2168 |
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| 140 |
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| 0.0435 | 66.12 | 28000 | 1.8957 | 0.5463 | 0.2190 |
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| 141 |
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| 0.0435 | 67.06 | 28400 | 1.8931 | 0.5352 | 0.2176 |
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| 142 |
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| 0.0449 | 68.0 | 28800 | 1.9795 | 0.5435 | 0.2225 |
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| 143 |
+
| 0.0458 | 68.95 | 29200 | 1.9299 | 0.5560 | 0.2190 |
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| 144 |
+
| 0.0458 | 69.89 | 29600 | 1.9310 | 0.5427 | 0.2154 |
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| 145 |
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| 0.037 | 70.84 | 30000 | 1.9183 | 0.5427 | 0.2211 |
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| 146 |
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| 0.037 | 71.78 | 30400 | 1.8506 | 0.5374 | 0.2153 |
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| 147 |
+
| 0.0417 | 72.73 | 30800 | 1.8749 | 0.5546 | 0.2239 |
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| 148 |
+
| 0.0441 | 73.67 | 31200 | 1.9007 | 0.5492 | 0.2194 |
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| 149 |
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| 0.0331 | 74.62 | 31600 | 2.0232 | 0.5603 | 0.2237 |
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| 150 |
+
| 0.0315 | 75.56 | 32000 | 1.9655 | 0.5445 | 0.2201 |
|
| 151 |
+
| 0.0315 | 76.51 | 32400 | 1.9662 | 0.5384 | 0.2129 |
|
| 152 |
+
| 0.0322 | 77.45 | 32800 | 1.9437 | 0.5402 | 0.2166 |
|
| 153 |
+
| 0.0352 | 78.39 | 33200 | 1.9171 | 0.5370 | 0.2164 |
|
| 154 |
+
| 0.0329 | 79.34 | 33600 | 1.9477 | 0.5320 | 0.2190 |
|
| 155 |
+
| 0.0345 | 80.28 | 34000 | 1.9378 | 0.5359 | 0.2188 |
|
| 156 |
+
| 0.0345 | 81.23 | 34400 | 1.9537 | 0.5449 | 0.2209 |
|
| 157 |
+
| 0.0368 | 82.17 | 34800 | 1.8541 | 0.5463 | 0.2195 |
|
| 158 |
+
| 0.0314 | 83.12 | 35200 | 1.9304 | 0.5521 | 0.2148 |
|
| 159 |
+
| 0.0247 | 84.06 | 35600 | 1.9365 | 0.5374 | 0.2190 |
|
| 160 |
+
| 0.0314 | 85.01 | 36000 | 1.9683 | 0.5395 | 0.2183 |
|
| 161 |
+
| 0.0314 | 85.95 | 36400 | 2.0073 | 0.5338 | 0.2202 |
|
| 162 |
+
| 0.0324 | 86.89 | 36800 | 1.9907 | 0.5291 | 0.2161 |
|
| 163 |
+
| 0.0265 | 87.84 | 37200 | 1.9969 | 0.5359 | 0.2172 |
|
| 164 |
+
| 0.0303 | 88.78 | 37600 | 2.0443 | 0.5496 | 0.2209 |
|
| 165 |
+
| 0.026 | 89.73 | 38000 | 2.0565 | 0.5413 | 0.2175 |
|
| 166 |
+
| 0.026 | 90.67 | 38400 | 2.0716 | 0.5341 | 0.2173 |
|
| 167 |
+
| 0.0269 | 91.62 | 38800 | 2.0431 | 0.5312 | 0.2211 |
|
| 168 |
+
| 0.0241 | 92.56 | 39200 | 1.9598 | 0.5359 | 0.2176 |
|
| 169 |
+
| 0.0256 | 93.51 | 39600 | 2.0544 | 0.5381 | 0.2187 |
|
| 170 |
+
| 0.025 | 94.45 | 40000 | 2.1567 | 0.5424 | 0.2176 |
|
| 171 |
+
| 0.025 | 95.4 | 40400 | 1.9953 | 0.5348 | 0.2218 |
|
| 172 |
+
| 0.0232 | 96.34 | 40800 | 2.0090 | 0.5298 | 0.2170 |
|
| 173 |
+
| 0.0186 | 97.28 | 41200 | 2.1091 | 0.5384 | 0.2172 |
|
| 174 |
+
| 0.0226 | 98.23 | 41600 | 2.0469 | 0.5406 | 0.2232 |
|
| 175 |
+
| 0.0231 | 99.17 | 42000 | 1.9422 | 0.5266 | 0.2148 |
|
| 176 |
+
| 0.0231 | 100.12 | 42400 | 1.9989 | 0.5208 | 0.2125 |
|
| 177 |
+
| 0.0229 | 101.06 | 42800 | 2.0184 | 0.5269 | 0.2137 |
|
| 178 |
+
| 0.0223 | 102.01 | 43200 | 2.0628 | 0.5499 | 0.2202 |
|
| 179 |
+
| 0.0217 | 102.95 | 43600 | 2.1697 | 0.5456 | 0.2231 |
|
| 180 |
+
| 0.0246 | 103.9 | 44000 | 2.0539 | 0.5341 | 0.2194 |
|
| 181 |
+
| 0.0246 | 104.84 | 44400 | 2.0108 | 0.5420 | 0.2205 |
|
| 182 |
+
| 0.0188 | 105.79 | 44800 | 2.0435 | 0.5442 | 0.2179 |
|
| 183 |
+
| 0.0232 | 106.73 | 45200 | 1.9907 | 0.5338 | 0.2209 |
|
| 184 |
+
| 0.0181 | 107.67 | 45600 | 2.0283 | 0.5463 | 0.2182 |
|
| 185 |
+
| 0.0196 | 108.62 | 46000 | 2.0573 | 0.5377 | 0.2168 |
|
| 186 |
+
| 0.0196 | 109.56 | 46400 | 2.0870 | 0.5363 | 0.2213 |
|
| 187 |
+
| 0.014 | 110.51 | 46800 | 2.0414 | 0.5370 | 0.2169 |
|
| 188 |
+
| 0.019 | 111.45 | 47200 | 2.0856 | 0.5392 | 0.2202 |
|
| 189 |
+
| 0.0222 | 112.4 | 47600 | 2.0484 | 0.5298 | 0.2119 |
|
| 190 |
+
| 0.0196 | 113.34 | 48000 | 2.0621 | 0.5298 | 0.2139 |
|
| 191 |
+
| 0.0196 | 114.29 | 48400 | 2.0678 | 0.5334 | 0.2148 |
|
| 192 |
+
| 0.019 | 115.23 | 48800 | 2.0594 | 0.5381 | 0.2171 |
|
| 193 |
+
| 0.0222 | 116.17 | 49200 | 2.0287 | 0.5323 | 0.2098 |
|
| 194 |
+
| 0.0157 | 117.12 | 49600 | 2.0198 | 0.5312 | 0.2159 |
|
| 195 |
+
| 0.0138 | 118.06 | 50000 | 2.0889 | 0.5273 | 0.2147 |
|
| 196 |
+
| 0.0138 | 119.01 | 50400 | 2.0316 | 0.5287 | 0.2133 |
|
| 197 |
+
| 0.0149 | 119.95 | 50800 | 2.0093 | 0.5345 | 0.2186 |
|
| 198 |
+
| 0.0144 | 120.9 | 51200 | 2.0363 | 0.5352 | 0.2201 |
|
| 199 |
+
| 0.0214 | 121.84 | 51600 | 1.9881 | 0.5352 | 0.2149 |
|
| 200 |
+
| 0.0203 | 122.79 | 52000 | 2.0539 | 0.5334 | 0.2172 |
|
| 201 |
+
| 0.0203 | 123.73 | 52400 | 2.0060 | 0.5277 | 0.2142 |
|
| 202 |
+
| 0.0155 | 124.68 | 52800 | 2.0310 | 0.5273 | 0.2163 |
|
| 203 |
+
| 0.0152 | 125.62 | 53200 | 2.1064 | 0.5377 | 0.2204 |
|
| 204 |
+
| 0.0153 | 126.56 | 53600 | 1.9753 | 0.5320 | 0.2107 |
|
| 205 |
+
| 0.0169 | 127.51 | 54000 | 2.0713 | 0.5198 | 0.2129 |
|
| 206 |
+
| 0.0169 | 128.45 | 54400 | 2.0593 | 0.5233 | 0.2127 |
|
| 207 |
+
| 0.0145 | 129.4 | 54800 | 1.9994 | 0.5190 | 0.2093 |
|
| 208 |
+
| 0.016 | 130.34 | 55200 | 2.0760 | 0.5312 | 0.2158 |
|
| 209 |
+
| 0.0145 | 131.29 | 55600 | 2.0213 | 0.5305 | 0.2157 |
|
| 210 |
+
| 0.0157 | 132.23 | 56000 | 2.0769 | 0.5241 | 0.2108 |
|
| 211 |
+
| 0.0157 | 133.18 | 56400 | 2.0819 | 0.5266 | 0.2132 |
|
| 212 |
+
| 0.0147 | 134.12 | 56800 | 2.0268 | 0.5248 | 0.2124 |
|
| 213 |
+
| 0.015 | 135.06 | 57200 | 2.0261 | 0.5158 | 0.2098 |
|
| 214 |
+
| 0.016 | 136.01 | 57600 | 1.9948 | 0.5126 | 0.2096 |
|
| 215 |
+
| 0.015 | 136.95 | 58000 | 2.0358 | 0.5237 | 0.2107 |
|
| 216 |
+
| 0.015 | 137.9 | 58400 | 2.0809 | 0.5262 | 0.2160 |
|
| 217 |
+
| 0.0182 | 138.84 | 58800 | 2.1024 | 0.5251 | 0.2158 |
|
| 218 |
+
| 0.0123 | 139.79 | 59200 | 2.0872 | 0.5208 | 0.2132 |
|
| 219 |
+
| 0.0114 | 140.73 | 59600 | 2.0152 | 0.5255 | 0.2145 |
|
| 220 |
+
| 0.0111 | 141.68 | 60000 | 2.0423 | 0.5241 | 0.2111 |
|
| 221 |
+
| 0.0111 | 142.62 | 60400 | 2.1610 | 0.5251 | 0.2108 |
|
| 222 |
+
| 0.015 | 143.57 | 60800 | 2.0061 | 0.5126 | 0.2089 |
|
| 223 |
+
| 0.0106 | 144.51 | 61200 | 1.9854 | 0.5194 | 0.2110 |
|
| 224 |
+
| 0.0126 | 145.45 | 61600 | 2.1059 | 0.5230 | 0.2166 |
|
| 225 |
+
| 0.0122 | 146.4 | 62000 | 2.0353 | 0.5183 | 0.2084 |
|
| 226 |
+
| 0.0122 | 147.34 | 62400 | 1.9908 | 0.5194 | 0.2087 |
|
| 227 |
+
| 0.0114 | 148.29 | 62800 | 2.0102 | 0.5158 | 0.2112 |
|
| 228 |
+
| 0.0102 | 149.23 | 63200 | 2.0733 | 0.5244 | 0.2147 |
|
| 229 |
+
| 0.0137 | 150.18 | 63600 | 1.9885 | 0.5219 | 0.2128 |
|
| 230 |
+
| 0.0119 | 151.12 | 64000 | 2.1361 | 0.5384 | 0.2133 |
|
| 231 |
+
| 0.0119 | 152.07 | 64400 | 2.1052 | 0.5151 | 0.2089 |
|
| 232 |
+
| 0.0122 | 153.01 | 64800 | 2.0875 | 0.5205 | 0.2087 |
|
| 233 |
+
| 0.0108 | 153.96 | 65200 | 2.1429 | 0.5190 | 0.2070 |
|
| 234 |
+
| 0.0111 | 154.9 | 65600 | 2.0868 | 0.5172 | 0.2081 |
|
| 235 |
+
| 0.0168 | 155.84 | 66000 | 2.0705 | 0.5244 | 0.2085 |
|
| 236 |
+
| 0.0168 | 156.79 | 66400 | 2.0395 | 0.5154 | 0.2061 |
|
| 237 |
+
| 0.0104 | 157.73 | 66800 | 2.0649 | 0.5219 | 0.2104 |
|
| 238 |
+
| 0.0134 | 158.68 | 67200 | 2.0947 | 0.5208 | 0.2079 |
|
| 239 |
+
| 0.0138 | 159.62 | 67600 | 2.0279 | 0.5172 | 0.2068 |
|
| 240 |
+
| 0.0108 | 160.57 | 68000 | 2.0735 | 0.5219 | 0.2093 |
|
| 241 |
+
| 0.0108 | 161.51 | 68400 | 2.1113 | 0.5241 | 0.2118 |
|
| 242 |
+
| 0.0108 | 162.46 | 68800 | 2.0902 | 0.5201 | 0.2099 |
|
| 243 |
+
| 0.0097 | 163.4 | 69200 | 2.1501 | 0.5216 | 0.2087 |
|
| 244 |
+
| 0.0094 | 164.34 | 69600 | 2.0897 | 0.5180 | 0.2092 |
|
| 245 |
+
| 0.0134 | 165.29 | 70000 | 2.0759 | 0.5176 | 0.2095 |
|
| 246 |
+
| 0.0134 | 166.23 | 70400 | 2.1005 | 0.5198 | 0.2116 |
|
| 247 |
+
| 0.0075 | 167.18 | 70800 | 2.1269 | 0.5262 | 0.2093 |
|
| 248 |
+
| 0.0121 | 168.12 | 71200 | 2.1036 | 0.5198 | 0.2090 |
|
| 249 |
+
| 0.006 | 169.07 | 71600 | 2.1189 | 0.5144 | 0.2086 |
|
| 250 |
+
| 0.0084 | 170.01 | 72000 | 2.2502 | 0.5119 | 0.2065 |
|
| 251 |
+
| 0.0084 | 170.96 | 72400 | 2.0946 | 0.5144 | 0.2075 |
|
| 252 |
+
| 0.0101 | 171.9 | 72800 | 2.0551 | 0.5111 | 0.2072 |
|
| 253 |
+
| 0.0111 | 172.85 | 73200 | 2.1882 | 0.5126 | 0.2101 |
|
| 254 |
+
| 0.0084 | 173.79 | 73600 | 2.1289 | 0.5140 | 0.2087 |
|
| 255 |
+
| 0.0081 | 174.73 | 74000 | 2.1833 | 0.5187 | 0.2071 |
|
| 256 |
+
| 0.0081 | 175.68 | 74400 | 2.1543 | 0.5198 | 0.2064 |
|
| 257 |
+
| 0.0095 | 176.62 | 74800 | 2.0642 | 0.5104 | 0.2066 |
|
| 258 |
+
| 0.0114 | 177.57 | 75200 | 2.1615 | 0.5147 | 0.2080 |
|
| 259 |
+
| 0.0075 | 178.51 | 75600 | 2.1834 | 0.5108 | 0.2076 |
|
| 260 |
+
| 0.0088 | 179.46 | 76000 | 2.0629 | 0.5065 | 0.2052 |
|
| 261 |
+
| 0.0088 | 180.4 | 76400 | 2.1611 | 0.5172 | 0.2111 |
|
| 262 |
+
| 0.007 | 181.35 | 76800 | 2.1460 | 0.5136 | 0.2084 |
|
| 263 |
+
| 0.0081 | 182.29 | 77200 | 2.1669 | 0.5216 | 0.2061 |
|
| 264 |
+
| 0.0063 | 183.23 | 77600 | 2.1599 | 0.5266 | 0.2125 |
|
| 265 |
+
| 0.008 | 184.18 | 78000 | 2.1681 | 0.5219 | 0.2093 |
|
| 266 |
+
| 0.008 | 185.12 | 78400 | 2.1855 | 0.5219 | 0.2114 |
|
| 267 |
+
| 0.0085 | 186.07 | 78800 | 2.2260 | 0.5190 | 0.2066 |
|
| 268 |
+
| 0.0067 | 187.01 | 79200 | 2.3088 | 0.5119 | 0.2116 |
|
| 269 |
+
| 0.0078 | 187.96 | 79600 | 2.1148 | 0.5101 | 0.2051 |
|
| 270 |
+
| 0.0103 | 188.9 | 80000 | 2.1095 | 0.5122 | 0.2058 |
|
| 271 |
+
| 0.0103 | 189.85 | 80400 | 2.0761 | 0.5198 | 0.2065 |
|
| 272 |
+
| 0.0131 | 190.79 | 80800 | 2.1673 | 0.5136 | 0.2087 |
|
| 273 |
+
| 0.0077 | 191.74 | 81200 | 2.1062 | 0.5165 | 0.2090 |
|
| 274 |
+
| 0.0083 | 192.68 | 81600 | 2.0541 | 0.5158 | 0.2070 |
|
| 275 |
+
| 0.0054 | 193.62 | 82000 | 2.1153 | 0.5151 | 0.2054 |
|
| 276 |
+
| 0.0054 | 194.57 | 82400 | 2.0986 | 0.5151 | 0.2066 |
|
| 277 |
+
| 0.0083 | 195.51 | 82800 | 2.1527 | 0.5208 | 0.2064 |
|
| 278 |
+
| 0.0052 | 196.46 | 83200 | 2.1105 | 0.5241 | 0.2094 |
|
| 279 |
+
| 0.0095 | 197.4 | 83600 | 2.1886 | 0.5169 | 0.2070 |
|
| 280 |
+
| 0.0054 | 198.35 | 84000 | 2.1499 | 0.5198 | 0.2093 |
|
| 281 |
+
| 0.0054 | 199.29 | 84400 | 2.1341 | 0.5154 | 0.2050 |
|
| 282 |
+
| 0.0056 | 200.24 | 84800 | 2.1335 | 0.5126 | 0.2044 |
|
| 283 |
+
| 0.0067 | 201.18 | 85200 | 2.1063 | 0.5158 | 0.2067 |
|
| 284 |
+
| 0.0062 | 202.13 | 85600 | 2.2441 | 0.5305 | 0.2091 |
|
| 285 |
+
| 0.0046 | 203.07 | 86000 | 2.3026 | 0.5144 | 0.2068 |
|
| 286 |
+
| 0.0046 | 204.01 | 86400 | 2.2769 | 0.5136 | 0.2072 |
|
| 287 |
+
| 0.0057 | 204.96 | 86800 | 2.1965 | 0.5230 | 0.2082 |
|
| 288 |
+
| 0.0094 | 205.9 | 87200 | 2.2242 | 0.5140 | 0.2051 |
|
| 289 |
+
| 0.0038 | 206.85 | 87600 | 2.2546 | 0.5169 | 0.2065 |
|
| 290 |
+
| 0.0045 | 207.79 | 88000 | 2.2832 | 0.5169 | 0.2048 |
|
| 291 |
+
| 0.0045 | 208.74 | 88400 | 2.2217 | 0.5104 | 0.2050 |
|
| 292 |
+
| 0.0051 | 209.68 | 88800 | 2.1853 | 0.5172 | 0.2080 |
|
| 293 |
+
| 0.0059 | 210.63 | 89200 | 2.3355 | 0.5122 | 0.2074 |
|
| 294 |
+
| 0.0072 | 211.57 | 89600 | 2.2551 | 0.5133 | 0.2084 |
|
| 295 |
+
| 0.0054 | 212.51 | 90000 | 2.2100 | 0.5122 | 0.2066 |
|
| 296 |
+
| 0.0054 | 213.46 | 90400 | 2.2089 | 0.5040 | 0.2064 |
|
| 297 |
+
| 0.0055 | 214.4 | 90800 | 2.1626 | 0.5086 | 0.2049 |
|
| 298 |
+
| 0.0059 | 215.35 | 91200 | 2.0619 | 0.5093 | 0.2030 |
|
| 299 |
+
| 0.0066 | 216.29 | 91600 | 2.1264 | 0.5086 | 0.2018 |
|
| 300 |
+
| 0.0052 | 217.24 | 92000 | 2.1548 | 0.5104 | 0.2035 |
|
| 301 |
+
| 0.0052 | 218.18 | 92400 | 2.1520 | 0.5004 | 0.2007 |
|
| 302 |
+
| 0.0039 | 219.13 | 92800 | 2.1095 | 0.5068 | 0.2060 |
|
| 303 |
+
| 0.0056 | 220.07 | 93200 | 2.1674 | 0.5122 | 0.2065 |
|
| 304 |
+
| 0.0056 | 221.02 | 93600 | 2.0891 | 0.5162 | 0.2065 |
|
| 305 |
+
| 0.0047 | 221.96 | 94000 | 2.1217 | 0.5144 | 0.2047 |
|
| 306 |
+
| 0.0047 | 222.9 | 94400 | 2.1482 | 0.5104 | 0.2015 |
|
| 307 |
+
| 0.0041 | 223.85 | 94800 | 2.0938 | 0.5122 | 0.2062 |
|
| 308 |
+
| 0.0039 | 224.79 | 95200 | 2.1521 | 0.5040 | 0.2038 |
|
| 309 |
+
| 0.0046 | 225.74 | 95600 | 2.0902 | 0.5151 | 0.2045 |
|
| 310 |
+
| 0.0038 | 226.68 | 96000 | 2.2018 | 0.5176 | 0.2047 |
|
| 311 |
+
| 0.0038 | 227.63 | 96400 | 2.1789 | 0.5212 | 0.2063 |
|
| 312 |
+
| 0.0066 | 228.57 | 96800 | 2.2180 | 0.5190 | 0.2055 |
|
| 313 |
+
| 0.0043 | 229.52 | 97200 | 2.1474 | 0.5180 | 0.2039 |
|
| 314 |
+
| 0.0058 | 230.46 | 97600 | 2.1442 | 0.5205 | 0.2053 |
|
| 315 |
+
| 0.0049 | 231.4 | 98000 | 2.2504 | 0.5248 | 0.2057 |
|
| 316 |
+
| 0.0049 | 232.35 | 98400 | 2.2156 | 0.5251 | 0.2061 |
|
| 317 |
+
| 0.0035 | 233.29 | 98800 | 2.2306 | 0.5158 | 0.2047 |
|
| 318 |
+
| 0.0047 | 234.24 | 99200 | 2.2065 | 0.5176 | 0.2070 |
|
| 319 |
+
| 0.0037 | 235.18 | 99600 | 2.1740 | 0.5126 | 0.2045 |
|
| 320 |
+
| 0.0035 | 236.13 | 100000 | 2.1977 | 0.5079 | 0.2033 |
|
| 321 |
+
| 0.0035 | 237.07 | 100400 | 2.1814 | 0.5136 | 0.2047 |
|
| 322 |
+
| 0.003 | 238.02 | 100800 | 2.1884 | 0.5057 | 0.2028 |
|
| 323 |
+
| 0.0032 | 238.96 | 101200 | 2.1905 | 0.5162 | 0.2032 |
|
| 324 |
+
| 0.0032 | 239.91 | 101600 | 2.1615 | 0.5187 | 0.2036 |
|
| 325 |
+
| 0.0049 | 240.85 | 102000 | 2.1595 | 0.5147 | 0.2043 |
|
| 326 |
+
| 0.0049 | 241.79 | 102400 | 2.1762 | 0.5187 | 0.2022 |
|
| 327 |
+
| 0.0057 | 242.74 | 102800 | 2.1740 | 0.5219 | 0.2035 |
|
| 328 |
+
| 0.0093 | 243.68 | 103200 | 2.1495 | 0.5126 | 0.2044 |
|
| 329 |
+
| 0.0045 | 244.63 | 103600 | 2.1512 | 0.5172 | 0.2048 |
|
| 330 |
+
| 0.0035 | 245.57 | 104000 | 2.1849 | 0.5187 | 0.2044 |
|
| 331 |
+
| 0.0035 | 246.52 | 104400 | 2.1989 | 0.5183 | 0.2030 |
|
| 332 |
+
| 0.0033 | 247.46 | 104800 | 2.2341 | 0.5183 | 0.2032 |
|
| 333 |
+
| 0.0031 | 248.41 | 105200 | 2.1902 | 0.5140 | 0.2032 |
|
| 334 |
+
| 0.0043 | 249.35 | 105600 | 2.1945 | 0.5172 | 0.2034 |
|
| 335 |
+
| 0.002 | 250.3 | 106000 | 2.2070 | 0.5162 | 0.2033 |
|
| 336 |
+
| 0.002 | 251.24 | 106400 | 2.2130 | 0.5144 | 0.2019 |
|
| 337 |
+
| 0.0066 | 252.18 | 106800 | 2.2191 | 0.5136 | 0.2025 |
|
| 338 |
+
| 0.0019 | 253.13 | 107200 | 2.2326 | 0.5129 | 0.2025 |
|
| 339 |
+
| 0.003 | 254.07 | 107600 | 2.2271 | 0.5097 | 0.2010 |
|
| 340 |
+
| 0.0024 | 255.02 | 108000 | 2.2429 | 0.5090 | 0.2007 |
|
| 341 |
+
| 0.0024 | 255.96 | 108400 | 2.1557 | 0.5093 | 0.2003 |
|
| 342 |
+
| 0.0034 | 256.91 | 108800 | 2.1615 | 0.5101 | 0.2021 |
|
| 343 |
+
| 0.003 | 257.85 | 109200 | 2.2049 | 0.5126 | 0.2003 |
|
| 344 |
+
| 0.0032 | 258.8 | 109600 | 2.2107 | 0.5136 | 0.1996 |
|
| 345 |
+
| 0.0026 | 259.74 | 110000 | 2.1887 | 0.5104 | 0.2007 |
|
| 346 |
+
| 0.0026 | 260.68 | 110400 | 2.2254 | 0.5115 | 0.2002 |
|
| 347 |
+
| 0.0022 | 261.63 | 110800 | 2.1952 | 0.5140 | 0.1999 |
|
| 348 |
+
| 0.0022 | 262.57 | 111200 | 2.1954 | 0.5115 | 0.1991 |
|
| 349 |
+
| 0.0019 | 263.52 | 111600 | 2.2104 | 0.5111 | 0.1997 |
|
| 350 |
+
| 0.0037 | 264.46 | 112000 | 2.1438 | 0.5122 | 0.2001 |
|
| 351 |
+
| 0.0037 | 265.41 | 112400 | 2.2171 | 0.5151 | 0.2001 |
|
| 352 |
+
| 0.0031 | 266.35 | 112800 | 2.2432 | 0.5104 | 0.2012 |
|
| 353 |
+
| 0.0041 | 267.3 | 113200 | 2.2321 | 0.5119 | 0.2005 |
|
| 354 |
+
| 0.0066 | 268.24 | 113600 | 2.2066 | 0.5086 | 0.1995 |
|
| 355 |
+
| 0.004 | 269.19 | 114000 | 2.1904 | 0.5111 | 0.2003 |
|
| 356 |
+
| 0.004 | 270.13 | 114400 | 2.2114 | 0.5119 | 0.1994 |
|
| 357 |
+
| 0.0028 | 271.07 | 114800 | 2.2074 | 0.5065 | 0.1992 |
|
| 358 |
+
| 0.0034 | 272.02 | 115200 | 2.2172 | 0.5097 | 0.1995 |
|
| 359 |
+
| 0.0032 | 272.96 | 115600 | 2.1759 | 0.5086 | 0.1987 |
|
| 360 |
+
| 0.0031 | 273.91 | 116000 | 2.1870 | 0.5104 | 0.1993 |
|
| 361 |
+
| 0.0031 | 274.85 | 116400 | 2.1658 | 0.5097 | 0.1993 |
|
| 362 |
+
| 0.0033 | 275.8 | 116800 | 2.2122 | 0.5097 | 0.1994 |
|
| 363 |
+
| 0.0042 | 276.74 | 117200 | 2.2084 | 0.5079 | 0.2000 |
|
| 364 |
+
| 0.0041 | 277.69 | 117600 | 2.2042 | 0.5025 | 0.1995 |
|
| 365 |
+
| 0.0019 | 278.63 | 118000 | 2.2102 | 0.5072 | 0.2000 |
|
| 366 |
+
| 0.0019 | 279.57 | 118400 | 2.2238 | 0.5061 | 0.1994 |
|
| 367 |
+
| 0.0024 | 280.52 | 118800 | 2.2299 | 0.5086 | 0.1989 |
|
| 368 |
+
| 0.0017 | 281.46 | 119200 | 2.2374 | 0.5043 | 0.1982 |
|
| 369 |
+
| 0.0026 | 282.41 | 119600 | 2.2307 | 0.5090 | 0.1994 |
|
| 370 |
+
| 0.004 | 283.35 | 120000 | 2.2176 | 0.5057 | 0.1977 |
|
| 371 |
+
| 0.004 | 284.3 | 120400 | 2.2064 | 0.5040 | 0.1972 |
|
| 372 |
+
| 0.0028 | 285.24 | 120800 | 2.2228 | 0.5097 | 0.1977 |
|
| 373 |
+
| 0.0024 | 286.19 | 121200 | 2.2224 | 0.5083 | 0.1986 |
|
| 374 |
+
| 0.0018 | 287.13 | 121600 | 2.2182 | 0.5057 | 0.1995 |
|
| 375 |
+
| 0.0025 | 288.08 | 122000 | 2.2210 | 0.5068 | 0.1993 |
|
| 376 |
+
| 0.0025 | 289.02 | 122400 | 2.2164 | 0.5079 | 0.1995 |
|
| 377 |
+
| 0.0022 | 289.96 | 122800 | 2.2034 | 0.5068 | 0.2000 |
|
| 378 |
+
| 0.0022 | 290.91 | 123200 | 2.1867 | 0.5057 | 0.1996 |
|
| 379 |
+
| 0.0021 | 291.85 | 123600 | 2.1855 | 0.5065 | 0.2000 |
|
| 380 |
+
| 0.0016 | 292.8 | 124000 | 2.1897 | 0.5061 | 0.1996 |
|
| 381 |
+
| 0.0016 | 293.74 | 124400 | 2.2099 | 0.5047 | 0.1989 |
|
| 382 |
+
| 0.0032 | 294.69 | 124800 | 2.2018 | 0.5050 | 0.1988 |
|
| 383 |
+
| 0.0019 | 295.63 | 125200 | 2.1945 | 0.5054 | 0.1992 |
|
| 384 |
+
| 0.0014 | 296.58 | 125600 | 2.2012 | 0.5040 | 0.1985 |
|
| 385 |
+
| 0.0018 | 297.52 | 126000 | 2.2040 | 0.5050 | 0.1983 |
|
| 386 |
+
| 0.0018 | 298.47 | 126400 | 2.2039 | 0.5054 | 0.1984 |
|
| 387 |
+
| 0.0023 | 299.41 | 126800 | 2.2061 | 0.5050 | 0.1982 |
|
| 388 |
+
|
| 389 |
+
|
| 390 |
+
### Framework versions
|
| 391 |
+
|
| 392 |
+
- Transformers 4.31.0.dev0
|
| 393 |
+
- Pytorch 1.13.1+cu117
|
| 394 |
+
- Datasets 2.13.1
|
| 395 |
+
- Tokenizers 0.13.3
|