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Browse files- README.md +177 -0
- all_results.json +35 -0
- config.json +400 -0
- confusion_matrix.txt +0 -0
- eval_results.json +29 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- train_results.json +9 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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| 1 |
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---
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library_name: transformers
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license: mit
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base_model: almanach/camembertv2-base
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tags:
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- generated_from_trainer
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model-index:
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- name: medgemma-full-corrected
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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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# medgemma-full-corrected
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This model is a fine-tuned version of [almanach/camembertv2-base](https://huggingface.co/almanach/camembertv2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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| 19 |
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- Loss: 3.0191
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- Educational Score Mse: 0.1065
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- Writing Quality Mse: 0.2074
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- Content Richness Mse: 0.1078
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- Terminology Precision Mse: 0.1990
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- Rewriting Needed Mse: 0.0141
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- Pretraining Suitable Mse: 0.0443
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- Contains Bias Mse: 0.0022
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- Writing Style Accuracy: 0.8773
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- Content Type Accuracy: 0.8416
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- Medical Subfield Accuracy: 0.7692
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- Age Group Accuracy: 0.9508
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- Sex Accuracy: 0.9824
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- Assertion Type Accuracy: 0.9556
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| 33 |
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- Certainty Level Accuracy: 0.9411
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- Contains Numbers Mse: 0.0260
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- Contains Abbreviations Mse: 0.0426
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- List Format Mse: 0.0377
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- Interactive Elements Accuracy: 0.9958
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| 38 |
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- Content Novelty Accuracy: 0.9596
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- Text Type Accuracy: 0.9528
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| 40 |
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- Combined Score: 0.5007
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| 41 |
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| 42 |
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## Model description
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| 43 |
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More information needed
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## Intended uses & limitations
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| 47 |
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| 48 |
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More information needed
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## Training and evaluation data
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| 51 |
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More information needed
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## Training procedure
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| 55 |
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### Training hyperparameters
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| 57 |
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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| 60 |
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- train_batch_size: 8
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| 61 |
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- eval_batch_size: 8
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| 62 |
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| 64 |
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- lr_scheduler_type: linear
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| 65 |
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- lr_scheduler_warmup_ratio: 0.1
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| 66 |
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- num_epochs: 3.0
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| 67 |
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- mixed_precision_training: Native AMP
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| 68 |
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| 69 |
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### Training results
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| 70 |
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| 71 |
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| Training Loss | Epoch | Step | Validation Loss | Educational Score Mse | Writing Quality Mse | Content Richness Mse | Terminology Precision Mse | Rewriting Needed Mse | Pretraining Suitable Mse | Contains Bias Mse | Writing Style Accuracy | Content Type Accuracy | Medical Subfield Accuracy | Age Group Accuracy | Sex Accuracy | Assertion Type Accuracy | Certainty Level Accuracy | Contains Numbers Mse | Contains Abbreviations Mse | List Format Mse | Interactive Elements Accuracy | Content Novelty Accuracy | Text Type Accuracy | Combined Score |
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|:-------------:|:------:|:------:|:---------------:|:---------------------:|:-------------------:|:--------------------:|:-------------------------:|:--------------------:|:------------------------:|:-----------------:|:----------------------:|:---------------------:|:-------------------------:|:------------------:|:------------:|:-----------------------:|:------------------------:|:--------------------:|:--------------------------:|:---------------:|:-----------------------------:|:------------------------:|:------------------:|:--------------:|
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| 73 |
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| 21.9755 | 0.0307 | 1500 | 19.5623 | 0.9803 | 2.0404 | 1.3504 | 2.3851 | 0.0271 | 0.2172 | 0.0023 | 0.4865 | 0.2696 | 0.2358 | 0.8673 | 0.9493 | 0.9257 | 0.9002 | 0.2533 | 0.2267 | 0.1589 | 0.9904 | 0.9382 | 0.7728 | 0.7489 |
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| 74 |
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| 10.2029 | 0.0615 | 3000 | 9.9561 | 0.1951 | 0.4303 | 0.1877 | 0.3501 | 0.0248 | 0.0784 | 0.0027 | 0.6173 | 0.4740 | 0.2358 | 0.8673 | 0.9493 | 0.9257 | 0.9002 | 0.1697 | 0.1662 | 0.1231 | 0.9904 | 0.9382 | 0.8387 | 0.4732 |
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| 75 |
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| 8.9208 | 0.0922 | 4500 | 8.7854 | 0.1761 | 0.3823 | 0.1752 | 0.3548 | 0.0231 | 0.0637 | 0.0025 | 0.6113 | 0.4832 | 0.2675 | 0.8673 | 0.9493 | 0.9257 | 0.9002 | 0.1235 | 0.1495 | 0.0977 | 0.9904 | 0.9382 | 0.9190 | 0.4700 |
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| 8.1025 | 0.1229 | 6000 | 7.8528 | 0.1652 | 0.3151 | 0.1648 | 0.2810 | 0.0196 | 0.0670 | 0.0025 | 0.7482 | 0.6177 | 0.3126 | 0.8673 | 0.9493 | 0.9257 | 0.9002 | 0.1102 | 0.1298 | 0.0906 | 0.9904 | 0.9382 | 0.9218 | 0.4759 |
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| 7.3399 | 0.1536 | 7500 | 7.2310 | 0.1521 | 0.3481 | 0.1613 | 0.2824 | 0.0198 | 0.0603 | 0.0025 | 0.7773 | 0.6475 | 0.3321 | 0.8673 | 0.9493 | 0.9257 | 0.9002 | 0.0974 | 0.0936 | 0.0885 | 0.9904 | 0.9382 | 0.9280 | 0.4781 |
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| 78 |
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| 6.9357 | 0.1844 | 9000 | 6.7256 | 0.1560 | 0.3093 | 0.1608 | 0.2768 | 0.0171 | 0.0639 | 0.0025 | 0.7966 | 0.7024 | 0.3618 | 0.8766 | 0.9493 | 0.9257 | 0.9002 | 0.0763 | 0.0847 | 0.0857 | 0.9904 | 0.9382 | 0.9292 | 0.4802 |
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| 79 |
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| 6.7497 | 0.2151 | 10500 | 6.3397 | 0.1479 | 0.3376 | 0.1534 | 0.3120 | 0.0174 | 0.0583 | 0.0024 | 0.8043 | 0.7214 | 0.3809 | 0.8902 | 0.9496 | 0.9257 | 0.9026 | 0.0794 | 0.0742 | 0.0737 | 0.9904 | 0.9382 | 0.9350 | 0.4847 |
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| 80 |
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| 6.0809 | 0.2458 | 12000 | 6.1028 | 0.1593 | 0.3313 | 0.1632 | 0.2846 | 0.0177 | 0.0739 | 0.0024 | 0.8017 | 0.7475 | 0.4089 | 0.9028 | 0.9573 | 0.9320 | 0.9126 | 0.0720 | 0.0724 | 0.0706 | 0.9904 | 0.9400 | 0.9234 | 0.4882 |
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| 81 |
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| 5.9007 | 0.2766 | 13500 | 5.7623 | 0.1598 | 0.2748 | 0.1745 | 0.2807 | 0.0175 | 0.0618 | 0.0024 | 0.8132 | 0.7494 | 0.4281 | 0.9068 | 0.9619 | 0.9386 | 0.9183 | 0.0577 | 0.0662 | 0.0682 | 0.9944 | 0.9410 | 0.9376 | 0.4876 |
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| 82 |
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| 5.7305 | 0.3073 | 15000 | 5.4478 | 0.1432 | 0.2975 | 0.1485 | 0.2705 | 0.0185 | 0.0603 | 0.0025 | 0.8272 | 0.7751 | 0.4521 | 0.9143 | 0.9637 | 0.9402 | 0.9204 | 0.0486 | 0.0649 | 0.0627 | 0.9952 | 0.9445 | 0.9376 | 0.4894 |
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| 83 |
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| 5.4057 | 0.3380 | 16500 | 5.4789 | 0.1618 | 0.3611 | 0.1524 | 0.2914 | 0.0205 | 0.0626 | 0.0025 | 0.8129 | 0.7677 | 0.4731 | 0.9184 | 0.9645 | 0.9393 | 0.9213 | 0.0505 | 0.0633 | 0.0549 | 0.9948 | 0.9447 | 0.9351 | 0.4946 |
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| 84 |
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| 5.4087 | 0.3687 | 18000 | 5.0982 | 0.1348 | 0.2707 | 0.1390 | 0.2497 | 0.0168 | 0.0530 | 0.0024 | 0.8299 | 0.7838 | 0.4977 | 0.9219 | 0.9661 | 0.9353 | 0.9214 | 0.0415 | 0.0624 | 0.0554 | 0.9948 | 0.9380 | 0.9390 | 0.4877 |
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| 85 |
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| 5.0165 | 0.3995 | 19500 | 5.0364 | 0.1449 | 0.2657 | 0.1580 | 0.2903 | 0.0195 | 0.0572 | 0.0023 | 0.8238 | 0.7782 | 0.5170 | 0.9182 | 0.9668 | 0.9440 | 0.9253 | 0.0392 | 0.0574 | 0.0545 | 0.9954 | 0.9460 | 0.9440 | 0.4924 |
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| 86 |
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| 4.9326 | 0.4302 | 21000 | 4.7331 | 0.1310 | 0.2462 | 0.1358 | 0.2486 | 0.0161 | 0.0545 | 0.0024 | 0.8378 | 0.7925 | 0.5408 | 0.9213 | 0.9700 | 0.9407 | 0.9253 | 0.0374 | 0.0567 | 0.0506 | 0.9949 | 0.9462 | 0.9404 | 0.4895 |
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| 87 |
+
| 4.7586 | 0.4609 | 22500 | 4.7080 | 0.1317 | 0.2579 | 0.1337 | 0.2440 | 0.0175 | 0.0526 | 0.0024 | 0.8338 | 0.7838 | 0.5550 | 0.9259 | 0.9720 | 0.9417 | 0.9253 | 0.0372 | 0.0594 | 0.0495 | 0.9949 | 0.9441 | 0.9437 | 0.4903 |
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| 88 |
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| 4.7594 | 0.4917 | 24000 | 4.5498 | 0.1304 | 0.2583 | 0.1362 | 0.2460 | 0.0163 | 0.0534 | 0.0023 | 0.8389 | 0.7957 | 0.5676 | 0.9287 | 0.9681 | 0.9437 | 0.9253 | 0.0365 | 0.0539 | 0.0502 | 0.9953 | 0.9457 | 0.9429 | 0.4918 |
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| 89 |
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| 4.5925 | 0.5224 | 25500 | 4.4950 | 0.1269 | 0.2485 | 0.1527 | 0.2515 | 0.0166 | 0.0524 | 0.0024 | 0.8367 | 0.7976 | 0.5791 | 0.9247 | 0.9717 | 0.9443 | 0.9244 | 0.0337 | 0.0537 | 0.0474 | 0.9950 | 0.9462 | 0.9463 | 0.4926 |
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| 90 |
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| 4.8652 | 0.5531 | 27000 | 4.3584 | 0.1316 | 0.2365 | 0.1368 | 0.2387 | 0.0168 | 0.0513 | 0.0023 | 0.8489 | 0.7997 | 0.5857 | 0.9274 | 0.9710 | 0.9471 | 0.9281 | 0.0350 | 0.0541 | 0.0492 | 0.9949 | 0.9461 | 0.9461 | 0.4924 |
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| 91 |
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| 4.3698 | 0.5838 | 28500 | 4.3289 | 0.1348 | 0.2636 | 0.1379 | 0.2378 | 0.0154 | 0.0510 | 0.0024 | 0.8482 | 0.8037 | 0.5964 | 0.9289 | 0.9750 | 0.9462 | 0.9245 | 0.0335 | 0.0522 | 0.0480 | 0.9951 | 0.9394 | 0.9450 | 0.4940 |
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| 92 |
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| 4.4026 | 0.6146 | 30000 | 4.2837 | 0.1287 | 0.2829 | 0.1355 | 0.2356 | 0.0166 | 0.0523 | 0.0023 | 0.8474 | 0.7949 | 0.6031 | 0.9262 | 0.9727 | 0.9478 | 0.9281 | 0.0345 | 0.0521 | 0.0476 | 0.9953 | 0.9477 | 0.9478 | 0.4949 |
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| 93 |
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| 4.3877 | 0.6453 | 31500 | 4.1740 | 0.1291 | 0.2768 | 0.1307 | 0.2352 | 0.0180 | 0.0533 | 0.0023 | 0.8407 | 0.8090 | 0.6208 | 0.9315 | 0.9735 | 0.9468 | 0.9295 | 0.0320 | 0.0519 | 0.0458 | 0.9955 | 0.9493 | 0.9479 | 0.4960 |
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| 94 |
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| 4.2281 | 0.6760 | 33000 | 4.1048 | 0.1307 | 0.2494 | 0.1258 | 0.2325 | 0.0164 | 0.0502 | 0.0023 | 0.8447 | 0.7983 | 0.6313 | 0.9307 | 0.9744 | 0.9463 | 0.9321 | 0.0329 | 0.0515 | 0.0469 | 0.9953 | 0.9491 | 0.9486 | 0.4945 |
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| 95 |
+
| 4.0887 | 0.7068 | 34500 | 4.1142 | 0.1294 | 0.2347 | 0.1364 | 0.2359 | 0.0152 | 0.0538 | 0.0023 | 0.8405 | 0.7996 | 0.6355 | 0.9327 | 0.9739 | 0.9477 | 0.9289 | 0.0318 | 0.0549 | 0.0450 | 0.9954 | 0.9480 | 0.9434 | 0.4942 |
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| 96 |
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| 4.1462 | 0.7375 | 36000 | 3.9965 | 0.1242 | 0.2429 | 0.1300 | 0.2336 | 0.0151 | 0.0504 | 0.0023 | 0.8507 | 0.8082 | 0.6495 | 0.9307 | 0.9732 | 0.9493 | 0.9311 | 0.0330 | 0.0502 | 0.0481 | 0.9953 | 0.9467 | 0.9446 | 0.4955 |
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| 97 |
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| 3.9073 | 0.7682 | 37500 | 3.9478 | 0.1243 | 0.2462 | 0.1266 | 0.2368 | 0.0157 | 0.0507 | 0.0023 | 0.8523 | 0.8063 | 0.6567 | 0.9349 | 0.9744 | 0.9447 | 0.9286 | 0.0311 | 0.0549 | 0.0447 | 0.9953 | 0.9515 | 0.9475 | 0.4963 |
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| 98 |
+
| 4.021 | 0.7990 | 39000 | 3.8320 | 0.1260 | 0.2269 | 0.1285 | 0.2258 | 0.0154 | 0.0488 | 0.0023 | 0.8527 | 0.8111 | 0.6688 | 0.9337 | 0.9752 | 0.9479 | 0.9315 | 0.0323 | 0.0503 | 0.0446 | 0.9955 | 0.9519 | 0.9498 | 0.4960 |
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| 99 |
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| 3.9901 | 0.8297 | 40500 | 3.8982 | 0.1236 | 0.2415 | 0.1293 | 0.2234 | 0.0160 | 0.0494 | 0.0022 | 0.8506 | 0.8033 | 0.6706 | 0.9280 | 0.9740 | 0.9496 | 0.9332 | 0.0321 | 0.0517 | 0.0444 | 0.9956 | 0.9459 | 0.9483 | 0.4956 |
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| 100 |
+
| 3.9871 | 0.8604 | 42000 | 3.8129 | 0.1221 | 0.2235 | 0.1296 | 0.2299 | 0.0158 | 0.0485 | 0.0022 | 0.8513 | 0.8132 | 0.6761 | 0.9344 | 0.9763 | 0.9485 | 0.9328 | 0.0333 | 0.0498 | 0.0441 | 0.9950 | 0.9476 | 0.9502 | 0.4962 |
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| 101 |
+
| 3.7565 | 0.8911 | 43500 | 3.7815 | 0.1259 | 0.2448 | 0.1264 | 0.2308 | 0.0166 | 0.0508 | 0.0022 | 0.8574 | 0.8131 | 0.6823 | 0.9372 | 0.9755 | 0.9480 | 0.9310 | 0.0309 | 0.0498 | 0.0436 | 0.9952 | 0.9528 | 0.9459 | 0.4980 |
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| 102 |
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| 4.106 | 0.9219 | 45000 | 3.8232 | 0.1263 | 0.2297 | 0.1342 | 0.2311 | 0.0147 | 0.0505 | 0.0023 | 0.8465 | 0.8104 | 0.6816 | 0.9319 | 0.9733 | 0.9489 | 0.9328 | 0.0306 | 0.0487 | 0.0441 | 0.9955 | 0.9530 | 0.9427 | 0.4964 |
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| 103 |
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| 3.7534 | 0.9526 | 46500 | 3.7046 | 0.1218 | 0.2355 | 0.1250 | 0.2246 | 0.0149 | 0.0494 | 0.0023 | 0.8551 | 0.8180 | 0.6904 | 0.9355 | 0.9758 | 0.9480 | 0.9330 | 0.0315 | 0.0494 | 0.0433 | 0.9957 | 0.9519 | 0.9465 | 0.4974 |
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| 104 |
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| 3.9638 | 0.9833 | 48000 | 3.8129 | 0.1193 | 0.2239 | 0.1319 | 0.2463 | 0.0149 | 0.0484 | 0.0022 | 0.8361 | 0.7993 | 0.6925 | 0.9342 | 0.9766 | 0.9444 | 0.9297 | 0.0310 | 0.0485 | 0.0425 | 0.9955 | 0.9503 | 0.9480 | 0.4958 |
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| 105 |
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| 3.5715 | 1.0141 | 49500 | 3.6313 | 0.1194 | 0.2246 | 0.1221 | 0.2242 | 0.0149 | 0.0471 | 0.0022 | 0.8579 | 0.8147 | 0.7000 | 0.9377 | 0.9778 | 0.9512 | 0.9330 | 0.0317 | 0.0491 | 0.0463 | 0.9953 | 0.9525 | 0.9484 | 0.4975 |
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| 106 |
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| 3.5272 | 1.0448 | 51000 | 3.6330 | 0.1225 | 0.2300 | 0.1253 | 0.2228 | 0.0152 | 0.0494 | 0.0022 | 0.8613 | 0.8191 | 0.7021 | 0.9348 | 0.9776 | 0.9487 | 0.9328 | 0.0314 | 0.0497 | 0.0432 | 0.9952 | 0.9531 | 0.9484 | 0.4982 |
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| 107 |
+
| 3.5379 | 1.0755 | 52500 | 3.6091 | 0.1208 | 0.2222 | 0.1270 | 0.2344 | 0.0147 | 0.0488 | 0.0022 | 0.8608 | 0.8195 | 0.7057 | 0.9348 | 0.9789 | 0.9498 | 0.9320 | 0.0305 | 0.0486 | 0.0432 | 0.9955 | 0.9531 | 0.9486 | 0.4986 |
|
| 108 |
+
| 3.3589 | 1.1062 | 54000 | 3.6755 | 0.1257 | 0.2435 | 0.1241 | 0.2228 | 0.0146 | 0.0488 | 0.0023 | 0.8531 | 0.8139 | 0.7021 | 0.9347 | 0.9766 | 0.9475 | 0.9341 | 0.0301 | 0.0490 | 0.0428 | 0.9955 | 0.9510 | 0.9478 | 0.4980 |
|
| 109 |
+
| 3.4707 | 1.1370 | 55500 | 3.6028 | 0.1206 | 0.2334 | 0.1237 | 0.2243 | 0.0152 | 0.0498 | 0.0022 | 0.8558 | 0.8214 | 0.7075 | 0.9362 | 0.9787 | 0.9512 | 0.9318 | 0.0296 | 0.0495 | 0.0421 | 0.9956 | 0.9524 | 0.9497 | 0.4985 |
|
| 110 |
+
| 3.3433 | 1.1677 | 57000 | 3.5433 | 0.1201 | 0.2161 | 0.1291 | 0.2455 | 0.0147 | 0.0475 | 0.0022 | 0.8630 | 0.8219 | 0.7150 | 0.9365 | 0.9789 | 0.9504 | 0.9337 | 0.0297 | 0.0481 | 0.0435 | 0.9953 | 0.9549 | 0.9481 | 0.4997 |
|
| 111 |
+
| 3.3679 | 1.1984 | 58500 | 3.5394 | 0.1178 | 0.2511 | 0.1250 | 0.2200 | 0.0147 | 0.0477 | 0.0022 | 0.8587 | 0.8195 | 0.7159 | 0.9409 | 0.9791 | 0.9510 | 0.9344 | 0.0290 | 0.0470 | 0.0425 | 0.9956 | 0.9538 | 0.9472 | 0.4997 |
|
| 112 |
+
| 3.3885 | 1.2292 | 60000 | 3.4935 | 0.1163 | 0.2315 | 0.1227 | 0.2240 | 0.0155 | 0.0472 | 0.0022 | 0.8622 | 0.8203 | 0.7220 | 0.9383 | 0.9790 | 0.9519 | 0.9343 | 0.0294 | 0.0467 | 0.0417 | 0.9956 | 0.9550 | 0.9497 | 0.4993 |
|
| 113 |
+
| 3.3306 | 1.2599 | 61500 | 3.4538 | 0.1194 | 0.2198 | 0.1204 | 0.2135 | 0.0161 | 0.0477 | 0.0022 | 0.8642 | 0.8214 | 0.7204 | 0.9413 | 0.9791 | 0.9518 | 0.9356 | 0.0301 | 0.0477 | 0.0444 | 0.9957 | 0.9557 | 0.9504 | 0.4989 |
|
| 114 |
+
| 3.5718 | 1.2906 | 63000 | 3.4483 | 0.1231 | 0.2407 | 0.1184 | 0.2098 | 0.0148 | 0.0470 | 0.0022 | 0.8633 | 0.8287 | 0.7220 | 0.9376 | 0.9790 | 0.9505 | 0.9350 | 0.0286 | 0.0481 | 0.0409 | 0.9953 | 0.9544 | 0.9497 | 0.4995 |
|
| 115 |
+
| 3.0728 | 1.3213 | 64500 | 3.4219 | 0.1170 | 0.2150 | 0.1194 | 0.2235 | 0.0148 | 0.0476 | 0.0022 | 0.8613 | 0.8230 | 0.7266 | 0.9417 | 0.9797 | 0.9510 | 0.9355 | 0.0294 | 0.0462 | 0.0416 | 0.9954 | 0.9550 | 0.9493 | 0.4988 |
|
| 116 |
+
| 3.3066 | 1.3521 | 66000 | 3.4526 | 0.1153 | 0.2343 | 0.1169 | 0.2101 | 0.0147 | 0.0470 | 0.0022 | 0.8612 | 0.8207 | 0.7244 | 0.9393 | 0.9776 | 0.9527 | 0.9345 | 0.0285 | 0.0460 | 0.0449 | 0.9953 | 0.9549 | 0.9501 | 0.4985 |
|
| 117 |
+
| 3.3204 | 1.3828 | 67500 | 3.4222 | 0.1165 | 0.2334 | 0.1187 | 0.2115 | 0.0155 | 0.0478 | 0.0022 | 0.8634 | 0.8223 | 0.7287 | 0.9426 | 0.9769 | 0.9513 | 0.9363 | 0.0295 | 0.0473 | 0.0417 | 0.9956 | 0.9554 | 0.9462 | 0.4991 |
|
| 118 |
+
| 3.2237 | 1.4135 | 69000 | 3.3706 | 0.1162 | 0.2230 | 0.1196 | 0.2169 | 0.0151 | 0.0476 | 0.0022 | 0.8635 | 0.8248 | 0.7316 | 0.9414 | 0.9799 | 0.9509 | 0.9369 | 0.0289 | 0.0459 | 0.0408 | 0.9957 | 0.9557 | 0.9494 | 0.4993 |
|
| 119 |
+
| 3.3159 | 1.4443 | 70500 | 3.3907 | 0.1246 | 0.2199 | 0.1167 | 0.2090 | 0.0147 | 0.0472 | 0.0022 | 0.8630 | 0.8235 | 0.7306 | 0.9441 | 0.9793 | 0.9511 | 0.9352 | 0.0298 | 0.0493 | 0.0406 | 0.9954 | 0.9553 | 0.9495 | 0.4990 |
|
| 120 |
+
| 3.2082 | 1.4750 | 72000 | 3.3536 | 0.1158 | 0.2209 | 0.1215 | 0.2135 | 0.0149 | 0.0473 | 0.0023 | 0.8637 | 0.8267 | 0.7342 | 0.9427 | 0.9800 | 0.9519 | 0.9366 | 0.0284 | 0.0460 | 0.0407 | 0.9958 | 0.9552 | 0.9486 | 0.4993 |
|
| 121 |
+
| 3.2581 | 1.5057 | 73500 | 3.3315 | 0.1143 | 0.2272 | 0.1179 | 0.2087 | 0.0149 | 0.0470 | 0.0022 | 0.8661 | 0.8239 | 0.7352 | 0.9445 | 0.9806 | 0.9494 | 0.9361 | 0.0282 | 0.0460 | 0.0406 | 0.9955 | 0.9549 | 0.9502 | 0.4992 |
|
| 122 |
+
| 3.1166 | 1.5364 | 75000 | 3.3129 | 0.1143 | 0.2274 | 0.1177 | 0.2132 | 0.0148 | 0.0464 | 0.0022 | 0.8654 | 0.8282 | 0.7397 | 0.9447 | 0.9813 | 0.9524 | 0.9370 | 0.0288 | 0.0463 | 0.0401 | 0.9959 | 0.9564 | 0.9497 | 0.5001 |
|
| 123 |
+
| 3.2024 | 1.5672 | 76500 | 3.3305 | 0.1159 | 0.2172 | 0.1149 | 0.2084 | 0.0151 | 0.0471 | 0.0022 | 0.8607 | 0.8227 | 0.7373 | 0.9426 | 0.9806 | 0.9518 | 0.9351 | 0.0285 | 0.0454 | 0.0404 | 0.9959 | 0.9565 | 0.9504 | 0.4984 |
|
| 124 |
+
| 3.2741 | 1.5979 | 78000 | 3.2938 | 0.1149 | 0.2103 | 0.1224 | 0.2128 | 0.0148 | 0.0465 | 0.0022 | 0.8656 | 0.8276 | 0.7403 | 0.9461 | 0.9800 | 0.9521 | 0.9368 | 0.0284 | 0.0448 | 0.0399 | 0.9957 | 0.9559 | 0.9509 | 0.4994 |
|
| 125 |
+
| 3.2547 | 1.6286 | 79500 | 3.3060 | 0.1142 | 0.2194 | 0.1154 | 0.2111 | 0.0145 | 0.0461 | 0.0022 | 0.8592 | 0.8269 | 0.7403 | 0.9437 | 0.9799 | 0.9534 | 0.9371 | 0.0291 | 0.0450 | 0.0396 | 0.9957 | 0.9537 | 0.9509 | 0.4989 |
|
| 126 |
+
| 3.0745 | 1.6594 | 81000 | 3.3017 | 0.1124 | 0.2269 | 0.1155 | 0.2074 | 0.0162 | 0.0479 | 0.0022 | 0.8658 | 0.8268 | 0.7397 | 0.9432 | 0.9802 | 0.9530 | 0.9361 | 0.0278 | 0.0454 | 0.0394 | 0.9958 | 0.9566 | 0.9510 | 0.4995 |
|
| 127 |
+
| 3.2289 | 1.6901 | 82500 | 3.2717 | 0.1114 | 0.2173 | 0.1140 | 0.2066 | 0.0150 | 0.0461 | 0.0023 | 0.8642 | 0.8279 | 0.7414 | 0.9441 | 0.9782 | 0.9533 | 0.9380 | 0.0277 | 0.0453 | 0.0401 | 0.9957 | 0.9567 | 0.9508 | 0.4988 |
|
| 128 |
+
| 3.2697 | 1.7208 | 84000 | 3.2704 | 0.1134 | 0.2180 | 0.1160 | 0.2098 | 0.0151 | 0.0462 | 0.0022 | 0.8631 | 0.8318 | 0.7445 | 0.9430 | 0.9802 | 0.9514 | 0.9354 | 0.0283 | 0.0450 | 0.0393 | 0.9956 | 0.9570 | 0.9514 | 0.4993 |
|
| 129 |
+
| 3.0788 | 1.7515 | 85500 | 3.2717 | 0.1128 | 0.2272 | 0.1174 | 0.2059 | 0.0159 | 0.0467 | 0.0022 | 0.8636 | 0.8286 | 0.7404 | 0.9447 | 0.9801 | 0.9540 | 0.9391 | 0.0284 | 0.0446 | 0.0398 | 0.9955 | 0.9560 | 0.9508 | 0.4997 |
|
| 130 |
+
| 3.2853 | 1.7823 | 87000 | 3.2489 | 0.1110 | 0.2271 | 0.1161 | 0.2115 | 0.0151 | 0.0463 | 0.0022 | 0.8679 | 0.8279 | 0.7432 | 0.9443 | 0.9813 | 0.9527 | 0.9359 | 0.0276 | 0.0448 | 0.0394 | 0.9956 | 0.9582 | 0.9517 | 0.5000 |
|
| 131 |
+
| 3.1586 | 1.8130 | 88500 | 3.2261 | 0.1111 | 0.2252 | 0.1133 | 0.2040 | 0.0145 | 0.0460 | 0.0022 | 0.8693 | 0.8311 | 0.7438 | 0.9463 | 0.9811 | 0.9529 | 0.9378 | 0.0273 | 0.0446 | 0.0393 | 0.9958 | 0.9564 | 0.9511 | 0.4996 |
|
| 132 |
+
| 3.0058 | 1.8437 | 90000 | 3.1774 | 0.1105 | 0.2102 | 0.1132 | 0.2069 | 0.0140 | 0.0453 | 0.0022 | 0.8682 | 0.8331 | 0.7500 | 0.9478 | 0.9811 | 0.9534 | 0.9390 | 0.0293 | 0.0449 | 0.0387 | 0.9957 | 0.9563 | 0.9524 | 0.4996 |
|
| 133 |
+
| 2.9714 | 1.8745 | 91500 | 3.2416 | 0.1146 | 0.2188 | 0.1154 | 0.2085 | 0.0150 | 0.0467 | 0.0022 | 0.8621 | 0.8272 | 0.7476 | 0.9475 | 0.9812 | 0.9540 | 0.9393 | 0.0278 | 0.0449 | 0.0391 | 0.9958 | 0.9576 | 0.9514 | 0.4998 |
|
| 134 |
+
| 3.0669 | 1.9052 | 93000 | 3.1565 | 0.1108 | 0.2146 | 0.1124 | 0.2049 | 0.0154 | 0.0463 | 0.0022 | 0.8705 | 0.8353 | 0.7532 | 0.9476 | 0.9806 | 0.9548 | 0.9395 | 0.0279 | 0.0448 | 0.0403 | 0.9957 | 0.9567 | 0.9500 | 0.5002 |
|
| 135 |
+
| 3.0294 | 1.9359 | 94500 | 3.1746 | 0.1097 | 0.2119 | 0.1120 | 0.2034 | 0.0140 | 0.0457 | 0.0022 | 0.8679 | 0.8323 | 0.7503 | 0.9459 | 0.9795 | 0.9540 | 0.9375 | 0.0281 | 0.0438 | 0.0386 | 0.9958 | 0.9574 | 0.9509 | 0.4990 |
|
| 136 |
+
| 3.2645 | 1.9666 | 96000 | 3.1593 | 0.1107 | 0.2047 | 0.1136 | 0.2123 | 0.0141 | 0.0454 | 0.0022 | 0.8722 | 0.8286 | 0.7534 | 0.9472 | 0.9822 | 0.9517 | 0.9391 | 0.0278 | 0.0442 | 0.0391 | 0.9957 | 0.9575 | 0.9526 | 0.4997 |
|
| 137 |
+
| 3.136 | 1.9974 | 97500 | 3.1353 | 0.1099 | 0.2040 | 0.1121 | 0.2082 | 0.0140 | 0.0458 | 0.0022 | 0.8708 | 0.8353 | 0.7532 | 0.9461 | 0.9812 | 0.9517 | 0.9388 | 0.0273 | 0.0436 | 0.0388 | 0.9956 | 0.9578 | 0.9520 | 0.4994 |
|
| 138 |
+
| 2.669 | 2.0281 | 99000 | 3.1879 | 0.1115 | 0.2324 | 0.1128 | 0.2086 | 0.0143 | 0.0459 | 0.0022 | 0.8716 | 0.8328 | 0.7525 | 0.9468 | 0.9811 | 0.9535 | 0.9389 | 0.0273 | 0.0443 | 0.0392 | 0.9956 | 0.9585 | 0.9514 | 0.5011 |
|
| 139 |
+
| 2.7518 | 2.0588 | 100500 | 3.1823 | 0.1114 | 0.2218 | 0.1117 | 0.2010 | 0.0146 | 0.0470 | 0.0022 | 0.8682 | 0.8333 | 0.7518 | 0.9474 | 0.9823 | 0.9528 | 0.9386 | 0.0275 | 0.0443 | 0.0404 | 0.9957 | 0.9578 | 0.9510 | 0.5000 |
|
| 140 |
+
| 2.6474 | 2.0896 | 102000 | 3.1413 | 0.1118 | 0.2116 | 0.1107 | 0.2033 | 0.0149 | 0.0455 | 0.0022 | 0.8713 | 0.8358 | 0.7548 | 0.9476 | 0.9811 | 0.9536 | 0.9387 | 0.0271 | 0.0440 | 0.0396 | 0.9957 | 0.9586 | 0.9516 | 0.5000 |
|
| 141 |
+
| 2.7432 | 2.1203 | 103500 | 3.1629 | 0.1085 | 0.2154 | 0.1121 | 0.2048 | 0.0148 | 0.0453 | 0.0022 | 0.8717 | 0.8353 | 0.7555 | 0.9462 | 0.9800 | 0.9545 | 0.9392 | 0.0269 | 0.0442 | 0.0402 | 0.9957 | 0.9587 | 0.9512 | 0.5001 |
|
| 142 |
+
| 2.7077 | 2.1510 | 105000 | 3.1593 | 0.1103 | 0.2126 | 0.1105 | 0.2041 | 0.0143 | 0.0456 | 0.0022 | 0.8700 | 0.8352 | 0.7563 | 0.9478 | 0.9813 | 0.9548 | 0.9389 | 0.0274 | 0.0448 | 0.0393 | 0.9957 | 0.9590 | 0.9514 | 0.5001 |
|
| 143 |
+
| 2.7707 | 2.1818 | 106500 | 3.1574 | 0.1089 | 0.2086 | 0.1123 | 0.2038 | 0.0140 | 0.0452 | 0.0022 | 0.8715 | 0.8325 | 0.7553 | 0.9472 | 0.9808 | 0.9553 | 0.9405 | 0.0273 | 0.0441 | 0.0390 | 0.9956 | 0.9555 | 0.9521 | 0.4996 |
|
| 144 |
+
| 2.6208 | 2.2125 | 108000 | 3.1553 | 0.1101 | 0.2242 | 0.1149 | 0.2119 | 0.0145 | 0.0454 | 0.0022 | 0.8707 | 0.8366 | 0.7595 | 0.9489 | 0.9814 | 0.9533 | 0.9393 | 0.0269 | 0.0444 | 0.0384 | 0.9959 | 0.9586 | 0.9522 | 0.5015 |
|
| 145 |
+
| 2.6898 | 2.2432 | 109500 | 3.1535 | 0.1103 | 0.2134 | 0.1110 | 0.2011 | 0.0146 | 0.0454 | 0.0022 | 0.8699 | 0.8319 | 0.7549 | 0.9485 | 0.9800 | 0.9536 | 0.9389 | 0.0272 | 0.0442 | 0.0389 | 0.9956 | 0.9586 | 0.9504 | 0.4995 |
|
| 146 |
+
| 2.7349 | 2.2739 | 111000 | 3.1531 | 0.1100 | 0.2171 | 0.1114 | 0.2025 | 0.0147 | 0.0458 | 0.0022 | 0.8689 | 0.8346 | 0.7568 | 0.9478 | 0.9797 | 0.9547 | 0.9393 | 0.0274 | 0.0443 | 0.0393 | 0.9957 | 0.9589 | 0.9509 | 0.5001 |
|
| 147 |
+
| 2.6409 | 2.3047 | 112500 | 3.1212 | 0.1085 | 0.2086 | 0.1102 | 0.2053 | 0.0140 | 0.0448 | 0.0022 | 0.8706 | 0.8359 | 0.7579 | 0.9478 | 0.9812 | 0.9552 | 0.9388 | 0.0272 | 0.0437 | 0.0379 | 0.9959 | 0.9586 | 0.9517 | 0.4998 |
|
| 148 |
+
| 2.5878 | 2.3354 | 114000 | 3.1033 | 0.1081 | 0.2124 | 0.1112 | 0.2056 | 0.0145 | 0.0450 | 0.0022 | 0.8726 | 0.8371 | 0.7609 | 0.9494 | 0.9817 | 0.9553 | 0.9395 | 0.0273 | 0.0435 | 0.0385 | 0.9959 | 0.9568 | 0.9515 | 0.5004 |
|
| 149 |
+
| 2.8138 | 2.3661 | 115500 | 3.1168 | 0.1095 | 0.2167 | 0.1092 | 0.1995 | 0.0144 | 0.0455 | 0.0022 | 0.8720 | 0.8361 | 0.7595 | 0.9499 | 0.9825 | 0.9548 | 0.9393 | 0.0268 | 0.0437 | 0.0388 | 0.9960 | 0.9584 | 0.9511 | 0.5003 |
|
| 150 |
+
| 2.5645 | 2.3969 | 117000 | 3.0923 | 0.1097 | 0.2098 | 0.1117 | 0.2025 | 0.0143 | 0.0447 | 0.0022 | 0.8756 | 0.8375 | 0.7623 | 0.9488 | 0.9823 | 0.9550 | 0.9404 | 0.0267 | 0.0435 | 0.0390 | 0.9959 | 0.9585 | 0.9522 | 0.5006 |
|
| 151 |
+
| 2.5579 | 2.4276 | 118500 | 3.1074 | 0.1088 | 0.2156 | 0.1110 | 0.2032 | 0.0143 | 0.0453 | 0.0022 | 0.8740 | 0.8373 | 0.7632 | 0.9483 | 0.9822 | 0.9531 | 0.9384 | 0.0266 | 0.0435 | 0.0385 | 0.9959 | 0.9570 | 0.9515 | 0.5005 |
|
| 152 |
+
| 2.6895 | 2.4583 | 120000 | 3.0973 | 0.1091 | 0.2134 | 0.1095 | 0.1995 | 0.0144 | 0.0452 | 0.0022 | 0.8738 | 0.8376 | 0.7609 | 0.9488 | 0.9824 | 0.9541 | 0.9403 | 0.0267 | 0.0436 | 0.0380 | 0.9959 | 0.9588 | 0.9510 | 0.5003 |
|
| 153 |
+
| 2.6364 | 2.4890 | 121500 | 3.0971 | 0.1070 | 0.2192 | 0.1094 | 0.2006 | 0.0146 | 0.0451 | 0.0022 | 0.8724 | 0.8395 | 0.7628 | 0.9487 | 0.9826 | 0.9554 | 0.9406 | 0.0267 | 0.0434 | 0.0386 | 0.9958 | 0.9591 | 0.9513 | 0.5007 |
|
| 154 |
+
| 2.6646 | 2.5198 | 123000 | 3.0946 | 0.1085 | 0.2149 | 0.1089 | 0.1985 | 0.0140 | 0.0450 | 0.0022 | 0.8724 | 0.8378 | 0.7623 | 0.9498 | 0.9815 | 0.9549 | 0.9397 | 0.0264 | 0.0433 | 0.0378 | 0.9957 | 0.9590 | 0.9516 | 0.5002 |
|
| 155 |
+
| 2.6291 | 2.5505 | 124500 | 3.0940 | 0.1098 | 0.2122 | 0.1084 | 0.1982 | 0.0141 | 0.0450 | 0.0022 | 0.8708 | 0.8379 | 0.7637 | 0.9493 | 0.9818 | 0.9560 | 0.9383 | 0.0265 | 0.0433 | 0.0386 | 0.9957 | 0.9587 | 0.9517 | 0.5001 |
|
| 156 |
+
| 2.4625 | 2.5812 | 126000 | 3.0918 | 0.1076 | 0.2222 | 0.1088 | 0.1998 | 0.0144 | 0.0449 | 0.0022 | 0.8740 | 0.8385 | 0.7653 | 0.9497 | 0.9822 | 0.9554 | 0.9396 | 0.0264 | 0.0432 | 0.0380 | 0.9958 | 0.9589 | 0.9516 | 0.5009 |
|
| 157 |
+
| 2.5264 | 2.6120 | 127500 | 3.0677 | 0.1074 | 0.2135 | 0.1085 | 0.1998 | 0.0146 | 0.0448 | 0.0022 | 0.8756 | 0.8394 | 0.7638 | 0.9497 | 0.9825 | 0.9556 | 0.9401 | 0.0266 | 0.0430 | 0.0379 | 0.9958 | 0.9571 | 0.9523 | 0.5005 |
|
| 158 |
+
| 2.576 | 2.6427 | 129000 | 3.0619 | 0.1066 | 0.2107 | 0.1085 | 0.1979 | 0.0143 | 0.0445 | 0.0022 | 0.8734 | 0.8390 | 0.7656 | 0.9497 | 0.9818 | 0.9551 | 0.9405 | 0.0265 | 0.0431 | 0.0390 | 0.9959 | 0.9589 | 0.9526 | 0.5003 |
|
| 159 |
+
| 2.5217 | 2.6734 | 130500 | 3.0648 | 0.1069 | 0.2064 | 0.1105 | 0.2049 | 0.0141 | 0.0443 | 0.0022 | 0.8757 | 0.8402 | 0.7647 | 0.9506 | 0.9823 | 0.9554 | 0.9401 | 0.0264 | 0.0429 | 0.0379 | 0.9959 | 0.9592 | 0.9520 | 0.5006 |
|
| 160 |
+
| 2.626 | 2.7041 | 132000 | 3.0631 | 0.1079 | 0.2104 | 0.1082 | 0.1992 | 0.0141 | 0.0449 | 0.0022 | 0.8753 | 0.8406 | 0.7648 | 0.9498 | 0.9820 | 0.9552 | 0.9406 | 0.0264 | 0.0431 | 0.0379 | 0.9959 | 0.9595 | 0.9524 | 0.5005 |
|
| 161 |
+
| 2.5503 | 2.7349 | 133500 | 3.0462 | 0.1064 | 0.2073 | 0.1096 | 0.1981 | 0.0142 | 0.0444 | 0.0022 | 0.8761 | 0.8424 | 0.7659 | 0.9490 | 0.9818 | 0.9555 | 0.9407 | 0.0263 | 0.0429 | 0.0377 | 0.9959 | 0.9592 | 0.9527 | 0.5004 |
|
| 162 |
+
| 2.6859 | 2.7656 | 135000 | 3.0409 | 0.1064 | 0.2117 | 0.1083 | 0.1981 | 0.0139 | 0.0442 | 0.0022 | 0.8756 | 0.8399 | 0.7662 | 0.9503 | 0.9824 | 0.9559 | 0.9408 | 0.0262 | 0.0429 | 0.0378 | 0.9957 | 0.9587 | 0.9523 | 0.5005 |
|
| 163 |
+
| 2.5686 | 2.7963 | 136500 | 3.0302 | 0.1070 | 0.2084 | 0.1078 | 0.1985 | 0.0142 | 0.0443 | 0.0022 | 0.8763 | 0.8415 | 0.7686 | 0.9505 | 0.9822 | 0.9559 | 0.9408 | 0.0262 | 0.0429 | 0.0382 | 0.9958 | 0.9595 | 0.9521 | 0.5006 |
|
| 164 |
+
| 2.5467 | 2.8271 | 138000 | 3.0339 | 0.1066 | 0.2106 | 0.1080 | 0.1972 | 0.0140 | 0.0445 | 0.0022 | 0.8763 | 0.8417 | 0.7670 | 0.9504 | 0.9821 | 0.9559 | 0.9409 | 0.0261 | 0.0428 | 0.0379 | 0.9959 | 0.9592 | 0.9526 | 0.5006 |
|
| 165 |
+
| 2.5381 | 2.8578 | 139500 | 3.0343 | 0.1065 | 0.2119 | 0.1085 | 0.1995 | 0.0141 | 0.0443 | 0.0022 | 0.8756 | 0.8409 | 0.7685 | 0.9507 | 0.9826 | 0.9561 | 0.9411 | 0.0260 | 0.0429 | 0.0377 | 0.9958 | 0.9598 | 0.9530 | 0.5009 |
|
| 166 |
+
| 2.5265 | 2.8885 | 141000 | 3.0265 | 0.1061 | 0.2063 | 0.1087 | 0.2007 | 0.0140 | 0.0442 | 0.0022 | 0.8762 | 0.8413 | 0.7680 | 0.9511 | 0.9826 | 0.9561 | 0.9407 | 0.0261 | 0.0428 | 0.0381 | 0.9959 | 0.9595 | 0.9526 | 0.5007 |
|
| 167 |
+
| 2.5177 | 2.9192 | 142500 | 3.0246 | 0.1061 | 0.2089 | 0.1091 | 0.2007 | 0.0140 | 0.0443 | 0.0022 | 0.8772 | 0.8417 | 0.7691 | 0.9511 | 0.9826 | 0.9560 | 0.9410 | 0.0260 | 0.0427 | 0.0376 | 0.9958 | 0.9590 | 0.9526 | 0.5009 |
|
| 168 |
+
| 2.5464 | 2.9500 | 144000 | 3.0267 | 0.1068 | 0.2083 | 0.1077 | 0.1987 | 0.0142 | 0.0445 | 0.0022 | 0.8771 | 0.8413 | 0.7691 | 0.9505 | 0.9826 | 0.9556 | 0.9410 | 0.0260 | 0.0426 | 0.0377 | 0.9958 | 0.9591 | 0.9527 | 0.5007 |
|
| 169 |
+
| 2.521 | 2.9807 | 145500 | 3.0211 | 0.1065 | 0.2085 | 0.1081 | 0.1992 | 0.0141 | 0.0444 | 0.0022 | 0.8775 | 0.8415 | 0.7693 | 0.9508 | 0.9825 | 0.9556 | 0.9412 | 0.0260 | 0.0426 | 0.0377 | 0.9958 | 0.9595 | 0.9528 | 0.5008 |
|
| 170 |
+
|
| 171 |
+
|
| 172 |
+
### Framework versions
|
| 173 |
+
|
| 174 |
+
- Transformers 4.55.0
|
| 175 |
+
- Pytorch 2.8.0+cu128
|
| 176 |
+
- Datasets 4.0.0
|
| 177 |
+
- Tokenizers 0.21.4
|
all_results.json
ADDED
|
@@ -0,0 +1,35 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_age_group_accuracy": 0.9507732018160449,
|
| 4 |
+
"eval_assertion_type_accuracy": 0.9555898688668157,
|
| 5 |
+
"eval_certainty_level_accuracy": 0.9410707289530087,
|
| 6 |
+
"eval_combined_score": 0.50069516733328,
|
| 7 |
+
"eval_contains_abbreviations_mse": 0.04261943158702095,
|
| 8 |
+
"eval_contains_bias_mse": 0.0021768044219123476,
|
| 9 |
+
"eval_contains_numbers_mse": 0.025998229564773438,
|
| 10 |
+
"eval_content_novelty_accuracy": 0.9595538245258233,
|
| 11 |
+
"eval_content_richness_mse": 0.10781483429761957,
|
| 12 |
+
"eval_content_type_accuracy": 0.8416261436703464,
|
| 13 |
+
"eval_educational_score_mse": 0.10651316780347395,
|
| 14 |
+
"eval_interactive_elements_accuracy": 0.995805581802678,
|
| 15 |
+
"eval_list_format_mse": 0.037734842254519035,
|
| 16 |
+
"eval_loss": 3.019087076187134,
|
| 17 |
+
"eval_medical_subfield_accuracy": 0.7692378603857943,
|
| 18 |
+
"eval_pretraining_suitable_mse": 0.04433586844755282,
|
| 19 |
+
"eval_rewriting_needed_mse": 0.014078832977989616,
|
| 20 |
+
"eval_runtime": 164.0384,
|
| 21 |
+
"eval_samples": 43391,
|
| 22 |
+
"eval_samples_per_second": 264.517,
|
| 23 |
+
"eval_sex_accuracy": 0.9823926620727801,
|
| 24 |
+
"eval_steps_per_second": 33.065,
|
| 25 |
+
"eval_terminology_precision_mse": 0.19903373313855105,
|
| 26 |
+
"eval_text_type_accuracy": 0.952824318407043,
|
| 27 |
+
"eval_writing_quality_mse": 0.20744471332426925,
|
| 28 |
+
"eval_writing_style_accuracy": 0.8772786983475837,
|
| 29 |
+
"total_flos": 6.212372812618752e+17,
|
| 30 |
+
"train_loss": 4.096821991530293,
|
| 31 |
+
"train_runtime": 39193.5988,
|
| 32 |
+
"train_samples": 390505,
|
| 33 |
+
"train_samples_per_second": 29.89,
|
| 34 |
+
"train_steps_per_second": 3.736
|
| 35 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,400 @@
|
|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
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|
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|
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|
|
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|
|
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|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
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|
|
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|
|
|
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|
|
|
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|
|
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|
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|
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|
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|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"MultiTaskClsModel"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"bos_token_id": 1,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
+
"embedding_size": 768,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"finetuning_task": "text-classification",
|
| 11 |
+
"hidden_act": "gelu",
|
| 12 |
+
"hidden_dropout_prob": 0.1,
|
| 13 |
+
"hidden_size": 768,
|
| 14 |
+
"id2label_dict": {
|
| 15 |
+
"age_group": {
|
| 16 |
+
"0": "adult",
|
| 17 |
+
"1": "elderly",
|
| 18 |
+
"2": "not_specified",
|
| 19 |
+
"3": "pediatric"
|
| 20 |
+
},
|
| 21 |
+
"assertion_type": {
|
| 22 |
+
"0": "factual",
|
| 23 |
+
"1": "hypothetical",
|
| 24 |
+
"2": "mixed",
|
| 25 |
+
"3": "opinion",
|
| 26 |
+
"4": "recommendation"
|
| 27 |
+
},
|
| 28 |
+
"certainty_level": {
|
| 29 |
+
"0": "definitive",
|
| 30 |
+
"1": "possible",
|
| 31 |
+
"2": "probable",
|
| 32 |
+
"3": "uncertain"
|
| 33 |
+
},
|
| 34 |
+
"contains_abbreviations": null,
|
| 35 |
+
"contains_bias": null,
|
| 36 |
+
"contains_numbers": null,
|
| 37 |
+
"content_novelty": {
|
| 38 |
+
"0": "established",
|
| 39 |
+
"1": "outdated",
|
| 40 |
+
"2": "recent_developments"
|
| 41 |
+
},
|
| 42 |
+
"content_richness": null,
|
| 43 |
+
"content_type": {
|
| 44 |
+
"0": "background_review",
|
| 45 |
+
"1": "clinical_guidance",
|
| 46 |
+
"2": "drug_information",
|
| 47 |
+
"3": "medical_knowledge",
|
| 48 |
+
"4": "other",
|
| 49 |
+
"5": "patient_case",
|
| 50 |
+
"6": "policy_administrative",
|
| 51 |
+
"7": "research_findings",
|
| 52 |
+
"8": "research_methodology"
|
| 53 |
+
},
|
| 54 |
+
"educational_score": null,
|
| 55 |
+
"interactive_elements": {
|
| 56 |
+
"0": "instructions",
|
| 57 |
+
"1": "none",
|
| 58 |
+
"2": "questions",
|
| 59 |
+
"3": "tasks"
|
| 60 |
+
},
|
| 61 |
+
"list_format": null,
|
| 62 |
+
"medical_subfield": {
|
| 63 |
+
"0": "anatomical_pathology",
|
| 64 |
+
"1": "anesthesiology",
|
| 65 |
+
"2": "biology_medicine",
|
| 66 |
+
"3": "cardiology",
|
| 67 |
+
"4": "dentistry",
|
| 68 |
+
"5": "dermatology",
|
| 69 |
+
"6": "digestive_surgery",
|
| 70 |
+
"7": "endocrinology",
|
| 71 |
+
"8": "gastroenterology",
|
| 72 |
+
"9": "general_medicine",
|
| 73 |
+
"10": "general_surgery",
|
| 74 |
+
"11": "genetics",
|
| 75 |
+
"12": "geriatrics",
|
| 76 |
+
"13": "gynecology_medical",
|
| 77 |
+
"14": "gynecology_obstetrics",
|
| 78 |
+
"15": "hematology",
|
| 79 |
+
"16": "intensive_care",
|
| 80 |
+
"17": "internal_medicine",
|
| 81 |
+
"18": "maxillofacial_surgery",
|
| 82 |
+
"19": "midwifery",
|
| 83 |
+
"20": "nephrology",
|
| 84 |
+
"21": "neurology",
|
| 85 |
+
"22": "neurosurgery",
|
| 86 |
+
"23": "nuclear_medicine",
|
| 87 |
+
"24": "occupational_medicine",
|
| 88 |
+
"25": "oncology",
|
| 89 |
+
"26": "ophthalmology",
|
| 90 |
+
"27": "oral_surgery",
|
| 91 |
+
"28": "orthodontics",
|
| 92 |
+
"29": "orthopedic_surgery",
|
| 93 |
+
"30": "other",
|
| 94 |
+
"31": "otolaryngology",
|
| 95 |
+
"32": "pediatric_surgery",
|
| 96 |
+
"33": "pediatrics",
|
| 97 |
+
"34": "pharmacy",
|
| 98 |
+
"35": "plastic_surgery",
|
| 99 |
+
"36": "pneumology",
|
| 100 |
+
"37": "psychiatry",
|
| 101 |
+
"38": "public_health",
|
| 102 |
+
"39": "radiology",
|
| 103 |
+
"40": "rehabilitation",
|
| 104 |
+
"41": "rheumatology",
|
| 105 |
+
"42": "thoracic_surgery",
|
| 106 |
+
"43": "urologic_surgery",
|
| 107 |
+
"44": "vascular_surgery"
|
| 108 |
+
},
|
| 109 |
+
"pretraining_suitable": null,
|
| 110 |
+
"rewriting_needed": null,
|
| 111 |
+
"sex": {
|
| 112 |
+
"0": "female",
|
| 113 |
+
"1": "male",
|
| 114 |
+
"2": "not_specified"
|
| 115 |
+
},
|
| 116 |
+
"terminology_precision": null,
|
| 117 |
+
"text_type": {
|
| 118 |
+
"0": "incomplete",
|
| 119 |
+
"1": "meaningful"
|
| 120 |
+
},
|
| 121 |
+
"writing_quality": null,
|
| 122 |
+
"writing_style": {
|
| 123 |
+
"0": "academic",
|
| 124 |
+
"1": "clinical",
|
| 125 |
+
"2": "other",
|
| 126 |
+
"3": "pedagogical",
|
| 127 |
+
"4": "regulatory"
|
| 128 |
+
}
|
| 129 |
+
},
|
| 130 |
+
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confusion_matrix.txt
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tokenizer.json
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tokenizer_config.json
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| 1 |
+
{
|
| 2 |
+
"add_prefix_space": true,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "[PAD]",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "[CLS]",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "[SEP]",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "[UNK]",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"4": {
|
| 37 |
+
"content": "[MASK]",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"bos_token": "[CLS]",
|
| 46 |
+
"clean_up_tokenization_spaces": true,
|
| 47 |
+
"cls_token": "[CLS]",
|
| 48 |
+
"eos_token": "[SEP]",
|
| 49 |
+
"errors": "replace",
|
| 50 |
+
"extra_special_tokens": {},
|
| 51 |
+
"mask_token": "[MASK]",
|
| 52 |
+
"model_max_length": 1024,
|
| 53 |
+
"pad_token": "[PAD]",
|
| 54 |
+
"sep_token": "[SEP]",
|
| 55 |
+
"tokenizer_class": "RobertaTokenizer",
|
| 56 |
+
"trim_offsets": true,
|
| 57 |
+
"unk_token": "[UNK]"
|
| 58 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 6.212372812618752e+17,
|
| 4 |
+
"train_loss": 4.096821991530293,
|
| 5 |
+
"train_runtime": 39193.5988,
|
| 6 |
+
"train_samples": 390505,
|
| 7 |
+
"train_samples_per_second": 29.89,
|
| 8 |
+
"train_steps_per_second": 3.736
|
| 9 |
+
}
|
trainer_state.json
ADDED
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|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b8aa197df722ccd83792914af4081c52e045f02f38a8f2c92c7e6b8a5e2f229c
|
| 3 |
+
size 5841
|
vocab.txt
ADDED
|
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|
|