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MiniProject_Prescription_Chatbot

Text Generation
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
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xet
Metrics Community
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End of training

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Files changed (4) hide show
  1. README.md +103 -23
  2. model.safetensors +1 -1
  3. runs/Apr02_01-49-49_d536b201e3f7/events.out.tfevents.1712022590.d536b201e3f7.208.5 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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- base_model: distilbert/distilgpt2
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  model-index:
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  - name: MiniProject_Prescription_Chatbot
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  results: []
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.4693
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  ## Model description
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@@ -40,32 +40,112 @@ 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: 20.0
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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 | 10 | 3.7086 |
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- | No log | 2.0 | 20 | 3.6408 |
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- | No log | 3.0 | 30 | 3.5992 |
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- | No log | 4.0 | 40 | 3.5599 |
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- | No log | 5.0 | 50 | 3.5313 |
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- | No log | 6.0 | 60 | 3.5170 |
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- | No log | 7.0 | 70 | 3.5049 |
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- | No log | 8.0 | 80 | 3.4880 |
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- | No log | 9.0 | 90 | 3.4896 |
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- | No log | 10.0 | 100 | 3.4722 |
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- | No log | 11.0 | 110 | 3.4717 |
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- | No log | 12.0 | 120 | 3.4714 |
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- | No log | 13.0 | 130 | 3.4662 |
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- | No log | 14.0 | 140 | 3.4620 |
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- | No log | 15.0 | 150 | 3.4627 |
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- | No log | 16.0 | 160 | 3.4661 |
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- | No log | 17.0 | 170 | 3.4693 |
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- | No log | 18.0 | 180 | 3.4697 |
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- | No log | 19.0 | 190 | 3.4684 |
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- | No log | 20.0 | 200 | 3.4693 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: distilbert/distilgpt2
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  tags:
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  - generated_from_trainer
 
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  model-index:
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  - name: MiniProject_Prescription_Chatbot
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  results: []
 
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  This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.7032
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  ## Model description
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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: 100
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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 | 10 | 3.4660 |
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+ | No log | 2.0 | 20 | 3.4891 |
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+ | No log | 3.0 | 30 | 3.4953 |
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+ | No log | 4.0 | 40 | 3.5052 |
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+ | No log | 5.0 | 50 | 3.5185 |
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+ | No log | 6.0 | 60 | 3.5524 |
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+ | No log | 7.0 | 70 | 3.5385 |
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+ | No log | 8.0 | 80 | 3.5735 |
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+ | No log | 9.0 | 90 | 3.5777 |
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+ | No log | 10.0 | 100 | 3.5964 |
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+ | No log | 11.0 | 110 | 3.6150 |
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+ | No log | 12.0 | 120 | 3.6228 |
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+ | No log | 13.0 | 130 | 3.6513 |
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+ | No log | 14.0 | 140 | 3.6463 |
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+ | No log | 15.0 | 150 | 3.7043 |
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+ | No log | 16.0 | 160 | 3.6930 |
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+ | No log | 17.0 | 170 | 3.7220 |
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+ | No log | 18.0 | 180 | 3.7353 |
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+ | No log | 19.0 | 190 | 3.7855 |
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+ | No log | 20.0 | 200 | 3.7626 |
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+ | No log | 21.0 | 210 | 3.8130 |
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+ | No log | 22.0 | 220 | 3.8215 |
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+ | No log | 23.0 | 230 | 3.8350 |
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+ | No log | 24.0 | 240 | 3.8692 |
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+ | No log | 25.0 | 250 | 3.8832 |
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+ | No log | 26.0 | 260 | 3.9128 |
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+ | No log | 27.0 | 270 | 3.9191 |
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+ | No log | 28.0 | 280 | 3.9653 |
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+ | No log | 29.0 | 290 | 3.9743 |
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+ | No log | 30.0 | 300 | 4.0078 |
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+ | No log | 31.0 | 310 | 3.9850 |
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+ | No log | 32.0 | 320 | 4.0363 |
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+ | No log | 33.0 | 330 | 4.0254 |
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+ | No log | 34.0 | 340 | 4.0554 |
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+ | No log | 35.0 | 350 | 4.0768 |
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+ | No log | 36.0 | 360 | 4.0785 |
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+ | No log | 37.0 | 370 | 4.1056 |
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+ | No log | 38.0 | 380 | 4.1224 |
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+ | No log | 39.0 | 390 | 4.1539 |
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+ | No log | 40.0 | 400 | 4.1457 |
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+ | No log | 41.0 | 410 | 4.1998 |
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+ | No log | 42.0 | 420 | 4.2190 |
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+ | No log | 43.0 | 430 | 4.2188 |
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+ | No log | 44.0 | 440 | 4.2462 |
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+ | No log | 45.0 | 450 | 4.2509 |
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+ | No log | 46.0 | 460 | 4.2763 |
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+ | No log | 47.0 | 470 | 4.3198 |
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+ | No log | 48.0 | 480 | 4.3034 |
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+ | No log | 49.0 | 490 | 4.3255 |
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+ | 1.8667 | 50.0 | 500 | 4.3399 |
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+ | 1.8667 | 51.0 | 510 | 4.3529 |
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+ | 1.8667 | 52.0 | 520 | 4.3660 |
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+ | 1.8667 | 53.0 | 530 | 4.3998 |
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+ | 1.8667 | 54.0 | 540 | 4.3952 |
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+ | 1.8667 | 55.0 | 550 | 4.4336 |
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+ | 1.8667 | 56.0 | 560 | 4.4153 |
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+ | 1.8667 | 57.0 | 570 | 4.4583 |
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+ | 1.8667 | 58.0 | 580 | 4.4434 |
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+ | 1.8667 | 59.0 | 590 | 4.4514 |
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+ | 1.8667 | 60.0 | 600 | 4.5067 |
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+ | 1.8667 | 61.0 | 610 | 4.5001 |
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+ | 1.8667 | 62.0 | 620 | 4.5002 |
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+ | 1.8667 | 63.0 | 630 | 4.5109 |
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+ | 1.8667 | 64.0 | 640 | 4.5240 |
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+ | 1.8667 | 65.0 | 650 | 4.5265 |
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+ | 1.8667 | 66.0 | 660 | 4.5662 |
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+ | 1.8667 | 67.0 | 670 | 4.5540 |
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+ | 1.8667 | 68.0 | 680 | 4.5560 |
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+ | 1.8667 | 69.0 | 690 | 4.5660 |
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+ | 1.8667 | 70.0 | 700 | 4.5804 |
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+ | 1.8667 | 71.0 | 710 | 4.5797 |
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+ | 1.8667 | 72.0 | 720 | 4.6063 |
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+ | 1.8667 | 73.0 | 730 | 4.6016 |
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+ | 1.8667 | 74.0 | 740 | 4.6091 |
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+ | 1.8667 | 75.0 | 750 | 4.6332 |
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+ | 1.8667 | 76.0 | 760 | 4.6250 |
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+ | 1.8667 | 77.0 | 770 | 4.6156 |
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+ | 1.8667 | 78.0 | 780 | 4.6387 |
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+ | 1.8667 | 79.0 | 790 | 4.6566 |
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+ | 1.8667 | 80.0 | 800 | 4.6411 |
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+ | 1.8667 | 81.0 | 810 | 4.6496 |
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+ | 1.8667 | 82.0 | 820 | 4.6546 |
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+ | 1.8667 | 83.0 | 830 | 4.6493 |
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+ | 1.8667 | 84.0 | 840 | 4.6483 |
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+ | 1.8667 | 85.0 | 850 | 4.6678 |
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+ | 1.8667 | 86.0 | 860 | 4.6828 |
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+ | 1.8667 | 87.0 | 870 | 4.6867 |
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+ | 1.8667 | 88.0 | 880 | 4.6817 |
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+ | 1.8667 | 89.0 | 890 | 4.6893 |
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+ | 1.8667 | 90.0 | 900 | 4.6989 |
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+ | 1.8667 | 91.0 | 910 | 4.6918 |
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+ | 1.8667 | 92.0 | 920 | 4.6895 |
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+ | 1.8667 | 93.0 | 930 | 4.6907 |
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+ | 1.8667 | 94.0 | 940 | 4.6905 |
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+ | 1.8667 | 95.0 | 950 | 4.6959 |
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+ | 1.8667 | 96.0 | 960 | 4.6987 |
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+ | 1.8667 | 97.0 | 970 | 4.7011 |
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+ | 1.8667 | 98.0 | 980 | 4.7027 |
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+ | 1.8667 | 99.0 | 990 | 4.7031 |
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+ | 0.9294 | 100.0 | 1000 | 4.7032 |
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  ### Framework versions
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