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---
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: electra-base-discriminator-finetuned-ner-cadec
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# electra-base-discriminator-finetuned-ner-cadec
This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4887
- Precision: 0.6872
- Recall: 0.7339
- F1: 0.7097
- Accuracy: 0.9230
- Adr Precision: 0.6712
- Adr Recall: 0.7483
- Adr F1: 0.7076
- Disease Precision: 0.1667
- Disease Recall: 0.16
- Disease F1: 0.1633
- Drug Precision: 0.9509
- Drug Recall: 0.9568
- Drug F1: 0.9538
- Finding Precision: 0.4074
- Finding Recall: 0.3188
- Finding F1: 0.3577
- Symptom Precision: 0.5455
- Symptom Recall: 0.6667
- Symptom F1: 0.6
- B-adr Precision: 0.7798
- B-adr Recall: 0.8336
- B-adr F1: 0.8058
- B-disease Precision: 0.2174
- B-disease Recall: 0.2
- B-disease F1: 0.2083
- B-drug Precision: 0.9753
- B-drug Recall: 0.9753
- B-drug F1: 0.9753
- B-finding Precision: 0.5238
- B-finding Recall: 0.3333
- B-finding F1: 0.4074
- B-symptom Precision: 0.6071
- B-symptom Recall: 0.6296
- B-symptom F1: 0.6182
- I-adr Precision: 0.6587
- I-adr Recall: 0.7267
- I-adr F1: 0.6910
- I-disease Precision: 0.1765
- I-disease Recall: 0.15
- I-disease F1: 0.1622
- I-drug Precision: 0.9509
- I-drug Recall: 0.9568
- I-drug F1: 0.9538
- I-finding Precision: 0.4565
- I-finding Recall: 0.4038
- I-finding F1: 0.4286
- I-symptom Precision: 0.35
- I-symptom Recall: 0.5385
- I-symptom F1: 0.4242
- Macro Avg F1: 0.5675
- Weighted Avg F1: 0.7497
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Adr Precision | Adr Recall | Adr F1 | Disease Precision | Disease Recall | Disease F1 | Drug Precision | Drug Recall | Drug F1 | Finding Precision | Finding Recall | Finding F1 | Symptom Precision | Symptom Recall | Symptom F1 | B-adr Precision | B-adr Recall | B-adr F1 | B-disease Precision | B-disease Recall | B-disease F1 | B-drug Precision | B-drug Recall | B-drug F1 | B-finding Precision | B-finding Recall | B-finding F1 | B-symptom Precision | B-symptom Recall | B-symptom F1 | I-adr Precision | I-adr Recall | I-adr F1 | I-disease Precision | I-disease Recall | I-disease F1 | I-drug Precision | I-drug Recall | I-drug F1 | I-finding Precision | I-finding Recall | I-finding F1 | I-symptom Precision | I-symptom Recall | I-symptom F1 | Macro Avg F1 | Weighted Avg F1 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------------:|:----------:|:------:|:-----------------:|:--------------:|:----------:|:--------------:|:-----------:|:-------:|:-----------------:|:--------------:|:----------:|:-----------------:|:--------------:|:----------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:---------------:|:------------:|:--------:|:-------------------:|:----------------:|:------------:|:----------------:|:-------------:|:---------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:------------:|:---------------:|
| No log | 1.0 | 125 | 0.3085 | 0.5456 | 0.6433 | 0.5904 | 0.9018 | 0.4847 | 0.6883 | 0.5689 | 0.0 | 0.0 | 0.0 | 0.8245 | 0.9568 | 0.8857 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6618 | 0.8071 | 0.7273 | 0.0 | 0.0 | 0.0 | 0.8791 | 0.9877 | 0.9302 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4666 | 0.6498 | 0.5431 | 0.0 | 0.0 | 0.0 | 0.8564 | 0.9568 | 0.9038 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3104 | 0.6156 |
| No log | 2.0 | 250 | 0.2624 | 0.5760 | 0.6784 | 0.6230 | 0.9132 | 0.5557 | 0.7317 | 0.6317 | 0.0294 | 0.04 | 0.0339 | 0.8851 | 0.9506 | 0.9167 | 0.1190 | 0.0725 | 0.0901 | 0.0 | 0.0 | 0.0 | 0.7120 | 0.8531 | 0.7762 | 0.1429 | 0.04 | 0.0625 | 0.9294 | 0.9753 | 0.9518 | 0.55 | 0.1667 | 0.2558 | 0.0 | 0.0 | 0.0 | 0.5670 | 0.7105 | 0.6307 | 0.1333 | 0.2 | 0.16 | 0.9006 | 0.9506 | 0.9249 | 0.25 | 0.1346 | 0.1750 | 0.0 | 0.0 | 0.0 | 0.3937 | 0.6840 |
| No log | 3.0 | 375 | 0.2659 | 0.6090 | 0.6931 | 0.6483 | 0.9140 | 0.6231 | 0.7383 | 0.6758 | 0.0189 | 0.04 | 0.0256 | 0.9070 | 0.9630 | 0.9341 | 0.1765 | 0.1739 | 0.1752 | 0.0 | 0.0 | 0.0 | 0.7648 | 0.8230 | 0.7928 | 0.0588 | 0.04 | 0.0476 | 0.9357 | 0.9877 | 0.9610 | 0.4340 | 0.3485 | 0.3866 | 0.0 | 0.0 | 0.0 | 0.6021 | 0.7105 | 0.6518 | 0.1522 | 0.35 | 0.2121 | 0.9123 | 0.9630 | 0.9369 | 0.4138 | 0.2308 | 0.2963 | 0.0 | 0.0 | 0.0 | 0.4285 | 0.7086 |
| 0.2971 | 4.0 | 500 | 0.2659 | 0.6313 | 0.6999 | 0.6638 | 0.9200 | 0.6259 | 0.7333 | 0.6754 | 0.0286 | 0.04 | 0.0333 | 0.9277 | 0.9506 | 0.9390 | 0.2687 | 0.2609 | 0.2647 | 0.625 | 0.1852 | 0.2857 | 0.7625 | 0.8354 | 0.7973 | 0.0769 | 0.04 | 0.0526 | 0.9691 | 0.9691 | 0.9691 | 0.4706 | 0.3636 | 0.4103 | 0.875 | 0.2593 | 0.4000 | 0.6173 | 0.6923 | 0.6527 | 0.1613 | 0.25 | 0.1961 | 0.9333 | 0.9506 | 0.9419 | 0.3721 | 0.3077 | 0.3368 | 0.0 | 0.0 | 0.0 | 0.4757 | 0.7208 |
| 0.2971 | 5.0 | 625 | 0.2827 | 0.6124 | 0.7157 | 0.6601 | 0.9156 | 0.5915 | 0.765 | 0.6672 | 0.0690 | 0.08 | 0.0741 | 0.9281 | 0.9568 | 0.9422 | 0.1957 | 0.1304 | 0.1565 | 0.5 | 0.2593 | 0.3415 | 0.7261 | 0.8726 | 0.7926 | 0.2308 | 0.12 | 0.1579 | 0.9578 | 0.9815 | 0.9695 | 0.5143 | 0.2727 | 0.3564 | 0.8333 | 0.3704 | 0.5128 | 0.5910 | 0.7429 | 0.6583 | 0.16 | 0.2 | 0.1778 | 0.9337 | 0.9568 | 0.9451 | 0.3077 | 0.1538 | 0.2051 | 0.0 | 0.0 | 0.0 | 0.4776 | 0.7180 |
| 0.2971 | 6.0 | 750 | 0.2900 | 0.6347 | 0.6965 | 0.6641 | 0.9196 | 0.6116 | 0.7217 | 0.6621 | 0.1190 | 0.2 | 0.1493 | 0.9394 | 0.9568 | 0.9480 | 0.3235 | 0.1594 | 0.2136 | 0.55 | 0.4074 | 0.4681 | 0.7581 | 0.8319 | 0.7932 | 0.2333 | 0.28 | 0.2545 | 0.9695 | 0.9815 | 0.9755 | 0.4783 | 0.1667 | 0.2472 | 0.8 | 0.4444 | 0.5714 | 0.6007 | 0.7065 | 0.6493 | 0.125 | 0.2 | 0.1538 | 0.9451 | 0.9568 | 0.9509 | 0.4074 | 0.2115 | 0.2785 | 0.4 | 0.3077 | 0.3478 | 0.5222 | 0.7195 |
| 0.2971 | 7.0 | 875 | 0.2994 | 0.6300 | 0.7078 | 0.6667 | 0.9193 | 0.6148 | 0.7317 | 0.6682 | 0.1389 | 0.2 | 0.1639 | 0.9398 | 0.9630 | 0.9512 | 0.2745 | 0.2029 | 0.2333 | 0.44 | 0.4074 | 0.4231 | 0.7465 | 0.8602 | 0.7993 | 0.2 | 0.24 | 0.2182 | 0.9639 | 0.9877 | 0.9756 | 0.4211 | 0.2424 | 0.3077 | 0.7 | 0.5185 | 0.5957 | 0.6237 | 0.7045 | 0.6616 | 0.1379 | 0.2 | 0.1633 | 0.9398 | 0.9630 | 0.9512 | 0.3256 | 0.2692 | 0.2947 | 0.3077 | 0.3077 | 0.3077 | 0.5275 | 0.7283 |
| 0.0963 | 8.0 | 1000 | 0.3197 | 0.6426 | 0.7067 | 0.6731 | 0.9190 | 0.6237 | 0.7267 | 0.6713 | 0.0952 | 0.08 | 0.0870 | 0.9390 | 0.9506 | 0.9448 | 0.3175 | 0.2899 | 0.3030 | 0.5 | 0.4444 | 0.4706 | 0.7568 | 0.8319 | 0.7926 | 0.1053 | 0.08 | 0.0909 | 0.9755 | 0.9815 | 0.9785 | 0.4167 | 0.3030 | 0.3509 | 0.5652 | 0.4815 | 0.52 | 0.6151 | 0.7085 | 0.6585 | 0.0714 | 0.05 | 0.0588 | 0.9448 | 0.9506 | 0.9477 | 0.3929 | 0.4231 | 0.4074 | 0.3846 | 0.3846 | 0.3846 | 0.5190 | 0.7263 |
| 0.0963 | 9.0 | 1125 | 0.3281 | 0.6512 | 0.6976 | 0.6736 | 0.9216 | 0.6354 | 0.7117 | 0.6714 | 0.1667 | 0.24 | 0.1967 | 0.9277 | 0.9506 | 0.9390 | 0.3019 | 0.2319 | 0.2623 | 0.6842 | 0.4815 | 0.5652 | 0.7780 | 0.8248 | 0.8007 | 0.2258 | 0.28 | 0.25 | 0.9636 | 0.9815 | 0.9725 | 0.4857 | 0.2576 | 0.3366 | 0.8125 | 0.4815 | 0.6047 | 0.6386 | 0.6903 | 0.6634 | 0.12 | 0.15 | 0.1333 | 0.9333 | 0.9506 | 0.9419 | 0.3542 | 0.3269 | 0.34 | 0.5556 | 0.3846 | 0.4545 | 0.5498 | 0.7322 |
| 0.0963 | 10.0 | 1250 | 0.3405 | 0.6563 | 0.7180 | 0.6858 | 0.9222 | 0.6241 | 0.7417 | 0.6778 | 0.0952 | 0.08 | 0.0870 | 0.9563 | 0.9444 | 0.9503 | 0.4043 | 0.2754 | 0.3276 | 0.6 | 0.5556 | 0.5769 | 0.7504 | 0.8513 | 0.7977 | 0.2222 | 0.16 | 0.1860 | 0.9811 | 0.9630 | 0.9720 | 0.5263 | 0.3030 | 0.3846 | 0.6087 | 0.5185 | 0.5600 | 0.6394 | 0.7287 | 0.6812 | 0.0667 | 0.05 | 0.0571 | 0.9563 | 0.9444 | 0.9503 | 0.45 | 0.3462 | 0.3913 | 0.4615 | 0.4615 | 0.4615 | 0.5442 | 0.7385 |
| 0.0963 | 11.0 | 1375 | 0.3641 | 0.6731 | 0.7112 | 0.6916 | 0.9184 | 0.6439 | 0.7233 | 0.6813 | 0.2083 | 0.2 | 0.2041 | 0.9509 | 0.9568 | 0.9538 | 0.4524 | 0.2754 | 0.3423 | 0.5 | 0.5556 | 0.5263 | 0.7732 | 0.8265 | 0.7990 | 0.2609 | 0.24 | 0.2500 | 0.9753 | 0.9753 | 0.9753 | 0.5714 | 0.3030 | 0.3960 | 0.52 | 0.4815 | 0.5 | 0.6360 | 0.7146 | 0.6730 | 0.1667 | 0.15 | 0.1579 | 0.9568 | 0.9568 | 0.9568 | 0.4857 | 0.3269 | 0.3908 | 0.3333 | 0.4615 | 0.3871 | 0.5486 | 0.7385 |
| 0.0455 | 12.0 | 1500 | 0.3604 | 0.6567 | 0.6931 | 0.6744 | 0.9163 | 0.6387 | 0.6983 | 0.6672 | 0.2222 | 0.24 | 0.2308 | 0.9118 | 0.9568 | 0.9337 | 0.3273 | 0.2609 | 0.2903 | 0.5833 | 0.5185 | 0.5490 | 0.7770 | 0.8142 | 0.7952 | 0.24 | 0.24 | 0.24 | 0.9467 | 0.9877 | 0.9668 | 0.4762 | 0.3030 | 0.3704 | 0.7143 | 0.5556 | 0.6250 | 0.6338 | 0.6761 | 0.6543 | 0.15 | 0.15 | 0.15 | 0.9226 | 0.9568 | 0.9394 | 0.3333 | 0.3077 | 0.32 | 0.3846 | 0.3846 | 0.3846 | 0.5446 | 0.7271 |
| 0.0455 | 13.0 | 1625 | 0.3913 | 0.6685 | 0.7033 | 0.6854 | 0.9226 | 0.6358 | 0.7217 | 0.6760 | 0.1429 | 0.08 | 0.1026 | 0.9451 | 0.9568 | 0.9509 | 0.3913 | 0.2609 | 0.3130 | 0.5417 | 0.4815 | 0.5098 | 0.7820 | 0.8319 | 0.8062 | 0.1429 | 0.08 | 0.1026 | 0.9755 | 0.9815 | 0.9785 | 0.4737 | 0.2727 | 0.3462 | 0.6190 | 0.4815 | 0.5417 | 0.6282 | 0.6943 | 0.6596 | 0.1 | 0.05 | 0.0667 | 0.9509 | 0.9568 | 0.9538 | 0.4146 | 0.3269 | 0.3656 | 0.375 | 0.4615 | 0.4138 | 0.5235 | 0.7315 |
| 0.0455 | 14.0 | 1750 | 0.3691 | 0.6739 | 0.7022 | 0.6877 | 0.9216 | 0.6509 | 0.7117 | 0.6799 | 0.2143 | 0.24 | 0.2264 | 0.9509 | 0.9568 | 0.9538 | 0.3636 | 0.2899 | 0.3226 | 0.6667 | 0.4444 | 0.5333 | 0.7752 | 0.8177 | 0.7959 | 0.28 | 0.28 | 0.28 | 0.9877 | 0.9877 | 0.9877 | 0.4889 | 0.3333 | 0.3964 | 0.8235 | 0.5185 | 0.6364 | 0.6467 | 0.7004 | 0.6725 | 0.1429 | 0.15 | 0.1463 | 0.9509 | 0.9568 | 0.9538 | 0.3529 | 0.3462 | 0.3495 | 0.625 | 0.3846 | 0.4762 | 0.5695 | 0.7403 |
| 0.0455 | 15.0 | 1875 | 0.3913 | 0.6597 | 0.7180 | 0.6876 | 0.9197 | 0.6457 | 0.735 | 0.6875 | 0.1667 | 0.16 | 0.1633 | 0.9226 | 0.9568 | 0.9394 | 0.3273 | 0.2609 | 0.2903 | 0.5161 | 0.5926 | 0.5517 | 0.7720 | 0.8389 | 0.8041 | 0.2273 | 0.2 | 0.2128 | 0.9639 | 0.9877 | 0.9756 | 0.4565 | 0.3182 | 0.375 | 0.6 | 0.5556 | 0.5769 | 0.6395 | 0.7146 | 0.6750 | 0.1111 | 0.1 | 0.1053 | 0.9281 | 0.9568 | 0.9422 | 0.3478 | 0.3077 | 0.3265 | 0.2857 | 0.4615 | 0.3529 | 0.5346 | 0.7363 |
| 0.0227 | 16.0 | 2000 | 0.3938 | 0.6649 | 0.7123 | 0.6878 | 0.9195 | 0.6454 | 0.725 | 0.6829 | 0.2333 | 0.28 | 0.2545 | 0.9563 | 0.9444 | 0.9503 | 0.3276 | 0.2754 | 0.2992 | 0.625 | 0.5556 | 0.5882 | 0.7763 | 0.8230 | 0.7990 | 0.2857 | 0.32 | 0.3019 | 0.9874 | 0.9691 | 0.9782 | 0.4375 | 0.3182 | 0.3684 | 0.6667 | 0.5185 | 0.5833 | 0.6304 | 0.7045 | 0.6654 | 0.1905 | 0.2 | 0.1951 | 0.9563 | 0.9444 | 0.9503 | 0.3462 | 0.3462 | 0.3462 | 0.3846 | 0.3846 | 0.3846 | 0.5572 | 0.7358 |
| 0.0227 | 17.0 | 2125 | 0.4021 | 0.6727 | 0.7169 | 0.6941 | 0.9216 | 0.6652 | 0.735 | 0.6983 | 0.2083 | 0.2 | 0.2041 | 0.9387 | 0.9444 | 0.9415 | 0.3333 | 0.2609 | 0.2927 | 0.4324 | 0.5926 | 0.5 | 0.7781 | 0.8319 | 0.8041 | 0.2609 | 0.24 | 0.2500 | 0.9752 | 0.9691 | 0.9721 | 0.4773 | 0.3182 | 0.3818 | 0.5517 | 0.5926 | 0.5714 | 0.6574 | 0.7186 | 0.6867 | 0.1875 | 0.15 | 0.1667 | 0.9503 | 0.9444 | 0.9474 | 0.375 | 0.3462 | 0.3600 | 0.2917 | 0.5385 | 0.3784 | 0.5519 | 0.7430 |
| 0.0227 | 18.0 | 2250 | 0.4107 | 0.6917 | 0.7089 | 0.7002 | 0.9227 | 0.6692 | 0.7217 | 0.6945 | 0.1905 | 0.16 | 0.1739 | 0.9451 | 0.9568 | 0.9509 | 0.4286 | 0.3043 | 0.3559 | 0.5417 | 0.4815 | 0.5098 | 0.7838 | 0.8212 | 0.8021 | 0.25 | 0.2 | 0.2222 | 0.9695 | 0.9815 | 0.9755 | 0.5 | 0.3333 | 0.4 | 0.5909 | 0.4815 | 0.5306 | 0.6567 | 0.7085 | 0.6816 | 0.1333 | 0.1 | 0.1143 | 0.9451 | 0.9568 | 0.9509 | 0.4419 | 0.3654 | 0.4 | 0.3333 | 0.3846 | 0.3571 | 0.5434 | 0.7415 |
| 0.0227 | 19.0 | 2375 | 0.4206 | 0.6551 | 0.7033 | 0.6783 | 0.9199 | 0.6205 | 0.7167 | 0.6651 | 0.1429 | 0.08 | 0.1026 | 0.9341 | 0.9630 | 0.9483 | 0.4151 | 0.3188 | 0.3607 | 0.5238 | 0.4074 | 0.4583 | 0.7585 | 0.8336 | 0.7943 | 0.1538 | 0.08 | 0.1053 | 0.9581 | 0.9877 | 0.9726 | 0.4583 | 0.3333 | 0.3860 | 0.6190 | 0.4815 | 0.5417 | 0.6191 | 0.6943 | 0.6546 | 0.1 | 0.05 | 0.0667 | 0.9398 | 0.9630 | 0.9512 | 0.4651 | 0.3846 | 0.4211 | 0.3846 | 0.3846 | 0.3846 | 0.5278 | 0.7281 |
| 0.0128 | 20.0 | 2500 | 0.4455 | 0.6458 | 0.7248 | 0.6830 | 0.9171 | 0.6080 | 0.7367 | 0.6662 | 0.1176 | 0.08 | 0.0952 | 0.9515 | 0.9691 | 0.9602 | 0.4211 | 0.3478 | 0.3810 | 0.6 | 0.5556 | 0.5769 | 0.7393 | 0.8531 | 0.7921 | 0.2 | 0.12 | 0.15 | 0.9697 | 0.9877 | 0.9786 | 0.5208 | 0.3788 | 0.4386 | 0.6364 | 0.5185 | 0.5714 | 0.6079 | 0.7186 | 0.6586 | 0.0909 | 0.05 | 0.0645 | 0.9515 | 0.9691 | 0.9602 | 0.4681 | 0.4231 | 0.4444 | 0.4 | 0.4615 | 0.4286 | 0.5487 | 0.7346 |
| 0.0128 | 21.0 | 2625 | 0.4208 | 0.6798 | 0.7214 | 0.7 | 0.9210 | 0.6587 | 0.7333 | 0.6940 | 0.2273 | 0.2 | 0.2128 | 0.9398 | 0.9630 | 0.9512 | 0.3929 | 0.3188 | 0.3520 | 0.56 | 0.5185 | 0.5385 | 0.7725 | 0.8354 | 0.8027 | 0.2727 | 0.24 | 0.2553 | 0.9636 | 0.9815 | 0.9725 | 0.4667 | 0.3182 | 0.3784 | 0.6087 | 0.5185 | 0.5600 | 0.6501 | 0.7146 | 0.6808 | 0.1538 | 0.1 | 0.1212 | 0.9398 | 0.9630 | 0.9512 | 0.4167 | 0.3846 | 0.4 | 0.3846 | 0.3846 | 0.3846 | 0.5507 | 0.7416 |
| 0.0128 | 22.0 | 2750 | 0.4410 | 0.6531 | 0.7248 | 0.6871 | 0.9182 | 0.6298 | 0.74 | 0.6805 | 0.1923 | 0.2 | 0.1961 | 0.9398 | 0.9630 | 0.9512 | 0.3636 | 0.2899 | 0.3226 | 0.5357 | 0.5556 | 0.5455 | 0.7536 | 0.8442 | 0.7963 | 0.25 | 0.24 | 0.2449 | 0.9695 | 0.9815 | 0.9755 | 0.5 | 0.3182 | 0.3889 | 0.6 | 0.5556 | 0.5769 | 0.6277 | 0.7166 | 0.6692 | 0.1579 | 0.15 | 0.1538 | 0.9398 | 0.9630 | 0.9512 | 0.3913 | 0.3462 | 0.3673 | 0.3333 | 0.3846 | 0.3571 | 0.5481 | 0.7357 |
| 0.0128 | 23.0 | 2875 | 0.4560 | 0.6790 | 0.7282 | 0.7027 | 0.9213 | 0.6544 | 0.7417 | 0.6953 | 0.2105 | 0.16 | 0.1818 | 0.9398 | 0.9630 | 0.9512 | 0.4 | 0.3188 | 0.3548 | 0.5926 | 0.5926 | 0.5926 | 0.7622 | 0.8283 | 0.7939 | 0.3333 | 0.24 | 0.2791 | 0.9636 | 0.9815 | 0.9725 | 0.5 | 0.3485 | 0.4107 | 0.6667 | 0.5926 | 0.6275 | 0.6461 | 0.7206 | 0.6813 | 0.1 | 0.05 | 0.0667 | 0.9398 | 0.9630 | 0.9512 | 0.4348 | 0.3846 | 0.4082 | 0.3571 | 0.3846 | 0.3704 | 0.5561 | 0.7410 |
| 0.0082 | 24.0 | 3000 | 0.4642 | 0.6646 | 0.7203 | 0.6913 | 0.9202 | 0.6421 | 0.7267 | 0.6818 | 0.2414 | 0.28 | 0.2593 | 0.9341 | 0.9630 | 0.9483 | 0.42 | 0.3043 | 0.3529 | 0.5 | 0.5926 | 0.5424 | 0.7651 | 0.8301 | 0.7963 | 0.2593 | 0.28 | 0.2692 | 0.9636 | 0.9815 | 0.9725 | 0.5238 | 0.3333 | 0.4074 | 0.6296 | 0.6296 | 0.6296 | 0.6309 | 0.7024 | 0.6648 | 0.1818 | 0.2 | 0.1905 | 0.9341 | 0.9630 | 0.9483 | 0.4390 | 0.3462 | 0.3871 | 0.2778 | 0.3846 | 0.3226 | 0.5588 | 0.7366 |
| 0.0082 | 25.0 | 3125 | 0.4606 | 0.6712 | 0.7214 | 0.6954 | 0.9187 | 0.6485 | 0.735 | 0.6891 | 0.1852 | 0.2 | 0.1923 | 0.9568 | 0.9568 | 0.9568 | 0.3704 | 0.2899 | 0.3252 | 0.6154 | 0.5926 | 0.6038 | 0.7687 | 0.8177 | 0.7925 | 0.24 | 0.24 | 0.24 | 0.9753 | 0.9753 | 0.9753 | 0.5116 | 0.3333 | 0.4037 | 0.625 | 0.5556 | 0.5882 | 0.6263 | 0.7126 | 0.6667 | 0.1579 | 0.15 | 0.1538 | 0.9568 | 0.9568 | 0.9568 | 0.3864 | 0.3269 | 0.3542 | 0.3846 | 0.3846 | 0.3846 | 0.5516 | 0.7346 |
| 0.0082 | 26.0 | 3250 | 0.4470 | 0.6767 | 0.7373 | 0.7057 | 0.9206 | 0.6556 | 0.755 | 0.7018 | 0.1875 | 0.12 | 0.1463 | 0.9341 | 0.9630 | 0.9483 | 0.3934 | 0.3478 | 0.3692 | 0.5556 | 0.5556 | 0.5556 | 0.7565 | 0.8301 | 0.7916 | 0.2 | 0.12 | 0.15 | 0.9639 | 0.9877 | 0.9756 | 0.4808 | 0.3788 | 0.4237 | 0.6 | 0.5556 | 0.5769 | 0.6430 | 0.7328 | 0.6850 | 0.1 | 0.05 | 0.0667 | 0.9341 | 0.9630 | 0.9483 | 0.4118 | 0.4038 | 0.4078 | 0.3846 | 0.3846 | 0.3846 | 0.5410 | 0.7390 |
| 0.0082 | 27.0 | 3375 | 0.4674 | 0.6727 | 0.7123 | 0.6920 | 0.9215 | 0.6473 | 0.725 | 0.6840 | 0.2222 | 0.24 | 0.2308 | 0.9394 | 0.9568 | 0.9480 | 0.3913 | 0.2609 | 0.3130 | 0.6 | 0.5556 | 0.5769 | 0.7655 | 0.8319 | 0.7973 | 0.28 | 0.28 | 0.28 | 0.9695 | 0.9815 | 0.9755 | 0.5143 | 0.2727 | 0.3564 | 0.6522 | 0.5556 | 0.6 | 0.6496 | 0.6943 | 0.6712 | 0.2 | 0.2 | 0.2000 | 0.9451 | 0.9568 | 0.9509 | 0.4 | 0.3077 | 0.3478 | 0.5 | 0.4615 | 0.4800 | 0.5659 | 0.7372 |
| 0.0062 | 28.0 | 3500 | 0.4693 | 0.6736 | 0.7361 | 0.7035 | 0.9203 | 0.6455 | 0.7617 | 0.6988 | 0.1818 | 0.16 | 0.1702 | 0.9509 | 0.9568 | 0.9538 | 0.4167 | 0.2899 | 0.3419 | 0.5833 | 0.5185 | 0.5490 | 0.7564 | 0.8407 | 0.7963 | 0.1905 | 0.16 | 0.1739 | 0.9755 | 0.9815 | 0.9785 | 0.4634 | 0.2879 | 0.3551 | 0.625 | 0.5556 | 0.5882 | 0.6354 | 0.7409 | 0.6841 | 0.125 | 0.1 | 0.1111 | 0.9509 | 0.9568 | 0.9538 | 0.4524 | 0.3654 | 0.4043 | 0.3846 | 0.3846 | 0.3846 | 0.5430 | 0.7395 |
| 0.0062 | 29.0 | 3625 | 0.4681 | 0.6905 | 0.7327 | 0.7110 | 0.9225 | 0.6682 | 0.7483 | 0.7060 | 0.1739 | 0.16 | 0.1667 | 0.9455 | 0.9630 | 0.9541 | 0.4630 | 0.3623 | 0.4065 | 0.5652 | 0.4815 | 0.52 | 0.7648 | 0.8230 | 0.7928 | 0.1905 | 0.16 | 0.1739 | 0.9695 | 0.9815 | 0.9755 | 0.5455 | 0.3636 | 0.4364 | 0.6087 | 0.5185 | 0.5600 | 0.6538 | 0.7186 | 0.6847 | 0.1176 | 0.1 | 0.1081 | 0.9455 | 0.9630 | 0.9541 | 0.4681 | 0.4231 | 0.4444 | 0.4286 | 0.4615 | 0.4444 | 0.5574 | 0.7428 |
| 0.0062 | 30.0 | 3750 | 0.4771 | 0.6765 | 0.7248 | 0.6998 | 0.9201 | 0.6562 | 0.735 | 0.6934 | 0.2273 | 0.2 | 0.2128 | 0.9451 | 0.9568 | 0.9509 | 0.3729 | 0.3188 | 0.3438 | 0.5862 | 0.6296 | 0.6071 | 0.7686 | 0.8230 | 0.7949 | 0.25 | 0.2 | 0.2222 | 0.9695 | 0.9815 | 0.9755 | 0.4583 | 0.3333 | 0.3860 | 0.6667 | 0.6667 | 0.6667 | 0.6383 | 0.7146 | 0.6743 | 0.1333 | 0.1 | 0.1143 | 0.9451 | 0.9568 | 0.9509 | 0.3922 | 0.3846 | 0.3883 | 0.375 | 0.4615 | 0.4138 | 0.5587 | 0.7384 |
| 0.0062 | 31.0 | 3875 | 0.4789 | 0.6874 | 0.7271 | 0.7067 | 0.9213 | 0.6702 | 0.745 | 0.7056 | 0.16 | 0.16 | 0.16 | 0.9341 | 0.9630 | 0.9483 | 0.4694 | 0.3333 | 0.3898 | 0.4615 | 0.4444 | 0.4528 | 0.7673 | 0.8230 | 0.7942 | 0.2273 | 0.2 | 0.2128 | 0.9639 | 0.9877 | 0.9756 | 0.5476 | 0.3485 | 0.4259 | 0.5833 | 0.5185 | 0.5490 | 0.6544 | 0.7206 | 0.6859 | 0.1667 | 0.15 | 0.1579 | 0.9341 | 0.9630 | 0.9483 | 0.4651 | 0.3846 | 0.4211 | 0.4 | 0.4615 | 0.4286 | 0.5599 | 0.7428 |
| 0.0043 | 32.0 | 4000 | 0.4845 | 0.6969 | 0.7316 | 0.7138 | 0.9225 | 0.6732 | 0.7417 | 0.7058 | 0.1923 | 0.2 | 0.1961 | 0.9571 | 0.9630 | 0.9600 | 0.4898 | 0.3478 | 0.4068 | 0.5714 | 0.5926 | 0.5818 | 0.7819 | 0.8248 | 0.8028 | 0.25 | 0.24 | 0.2449 | 0.9755 | 0.9815 | 0.9785 | 0.5349 | 0.3485 | 0.4220 | 0.6154 | 0.5926 | 0.6038 | 0.6568 | 0.7166 | 0.6854 | 0.1667 | 0.15 | 0.1579 | 0.9571 | 0.9630 | 0.9600 | 0.5116 | 0.4231 | 0.4632 | 0.4 | 0.4615 | 0.4286 | 0.5747 | 0.7498 |
| 0.0043 | 33.0 | 4125 | 0.4683 | 0.6809 | 0.7248 | 0.7021 | 0.9235 | 0.6577 | 0.7367 | 0.6950 | 0.15 | 0.12 | 0.1333 | 0.9394 | 0.9568 | 0.9480 | 0.4211 | 0.3478 | 0.3810 | 0.6154 | 0.5926 | 0.6038 | 0.7829 | 0.8425 | 0.8116 | 0.1579 | 0.12 | 0.1364 | 0.9695 | 0.9815 | 0.9755 | 0.5217 | 0.3636 | 0.4286 | 0.64 | 0.5926 | 0.6154 | 0.6487 | 0.7065 | 0.6764 | 0.1333 | 0.1 | 0.1143 | 0.9451 | 0.9568 | 0.9509 | 0.4490 | 0.4231 | 0.4356 | 0.5 | 0.5385 | 0.5185 | 0.5663 | 0.7470 |
| 0.0043 | 34.0 | 4250 | 0.4860 | 0.6896 | 0.7373 | 0.7126 | 0.9213 | 0.6657 | 0.7533 | 0.7068 | 0.15 | 0.12 | 0.1333 | 0.9337 | 0.9568 | 0.9451 | 0.4815 | 0.3768 | 0.4228 | 0.6 | 0.5556 | 0.5769 | 0.7634 | 0.8336 | 0.7970 | 0.1579 | 0.12 | 0.1364 | 0.9634 | 0.9753 | 0.9693 | 0.5208 | 0.3788 | 0.4386 | 0.64 | 0.5926 | 0.6154 | 0.6468 | 0.7267 | 0.6845 | 0.1875 | 0.15 | 0.1667 | 0.9337 | 0.9568 | 0.9451 | 0.5111 | 0.4423 | 0.4742 | 0.4167 | 0.3846 | 0.4 | 0.5627 | 0.7445 |
| 0.0043 | 35.0 | 4375 | 0.4857 | 0.6970 | 0.7373 | 0.7166 | 0.9220 | 0.6736 | 0.7533 | 0.7113 | 0.2 | 0.16 | 0.1778 | 0.9509 | 0.9568 | 0.9538 | 0.4808 | 0.3623 | 0.4132 | 0.5357 | 0.5556 | 0.5455 | 0.7761 | 0.8283 | 0.8014 | 0.2 | 0.16 | 0.1778 | 0.9753 | 0.9753 | 0.9753 | 0.5217 | 0.3636 | 0.4286 | 0.5926 | 0.5926 | 0.5926 | 0.6528 | 0.7308 | 0.6896 | 0.1875 | 0.15 | 0.1667 | 0.9509 | 0.9568 | 0.9538 | 0.4889 | 0.4231 | 0.4536 | 0.4 | 0.4615 | 0.4286 | 0.5668 | 0.7485 |
| 0.0037 | 36.0 | 4500 | 0.4816 | 0.6912 | 0.7350 | 0.7124 | 0.9228 | 0.6657 | 0.75 | 0.7053 | 0.1905 | 0.16 | 0.1739 | 0.9509 | 0.9568 | 0.9538 | 0.4706 | 0.3478 | 0.4000 | 0.5714 | 0.5926 | 0.5818 | 0.7745 | 0.8389 | 0.8054 | 0.1905 | 0.16 | 0.1739 | 0.9693 | 0.9753 | 0.9723 | 0.5111 | 0.3485 | 0.4144 | 0.6154 | 0.5926 | 0.6038 | 0.6557 | 0.7287 | 0.6903 | 0.1875 | 0.15 | 0.1667 | 0.9509 | 0.9568 | 0.9538 | 0.5 | 0.4231 | 0.4583 | 0.4667 | 0.5385 | 0.5 | 0.5739 | 0.7502 |
| 0.0037 | 37.0 | 4625 | 0.4878 | 0.6919 | 0.7350 | 0.7128 | 0.9229 | 0.6731 | 0.7517 | 0.7102 | 0.1667 | 0.16 | 0.1633 | 0.9568 | 0.9568 | 0.9568 | 0.4528 | 0.3478 | 0.3934 | 0.5172 | 0.5556 | 0.5357 | 0.7776 | 0.8354 | 0.8055 | 0.2174 | 0.2 | 0.2083 | 0.9753 | 0.9753 | 0.9753 | 0.5349 | 0.3485 | 0.4220 | 0.5926 | 0.5926 | 0.5926 | 0.6612 | 0.7308 | 0.6942 | 0.1765 | 0.15 | 0.1622 | 0.9568 | 0.9568 | 0.9568 | 0.4783 | 0.4231 | 0.4490 | 0.3889 | 0.5385 | 0.4516 | 0.5717 | 0.7519 |
| 0.0037 | 38.0 | 4750 | 0.4890 | 0.6876 | 0.7305 | 0.7084 | 0.9235 | 0.6652 | 0.745 | 0.7028 | 0.1429 | 0.12 | 0.1304 | 0.9568 | 0.9568 | 0.9568 | 0.4444 | 0.3478 | 0.3902 | 0.5517 | 0.5926 | 0.5714 | 0.7759 | 0.8336 | 0.8038 | 0.1579 | 0.12 | 0.1364 | 0.9753 | 0.9753 | 0.9753 | 0.5227 | 0.3485 | 0.4182 | 0.5926 | 0.5926 | 0.5926 | 0.6545 | 0.7247 | 0.6878 | 0.1765 | 0.15 | 0.1622 | 0.9568 | 0.9568 | 0.9568 | 0.4468 | 0.4038 | 0.4242 | 0.4118 | 0.5385 | 0.4667 | 0.5624 | 0.7473 |
| 0.0037 | 39.0 | 4875 | 0.4871 | 0.6869 | 0.7305 | 0.7080 | 0.9226 | 0.6722 | 0.745 | 0.7067 | 0.1667 | 0.16 | 0.1633 | 0.9509 | 0.9568 | 0.9538 | 0.4074 | 0.3188 | 0.3577 | 0.5152 | 0.6296 | 0.5667 | 0.7789 | 0.8354 | 0.8061 | 0.2174 | 0.2 | 0.2083 | 0.9693 | 0.9753 | 0.9723 | 0.5238 | 0.3333 | 0.4074 | 0.6071 | 0.6296 | 0.6182 | 0.6593 | 0.7206 | 0.6886 | 0.1765 | 0.15 | 0.1622 | 0.9509 | 0.9568 | 0.9538 | 0.4348 | 0.3846 | 0.4082 | 0.35 | 0.5385 | 0.4242 | 0.5649 | 0.7481 |
| 0.003 | 40.0 | 5000 | 0.4887 | 0.6872 | 0.7339 | 0.7097 | 0.9230 | 0.6712 | 0.7483 | 0.7076 | 0.1667 | 0.16 | 0.1633 | 0.9509 | 0.9568 | 0.9538 | 0.4074 | 0.3188 | 0.3577 | 0.5455 | 0.6667 | 0.6 | 0.7798 | 0.8336 | 0.8058 | 0.2174 | 0.2 | 0.2083 | 0.9753 | 0.9753 | 0.9753 | 0.5238 | 0.3333 | 0.4074 | 0.6071 | 0.6296 | 0.6182 | 0.6587 | 0.7267 | 0.6910 | 0.1765 | 0.15 | 0.1622 | 0.9509 | 0.9568 | 0.9538 | 0.4565 | 0.4038 | 0.4286 | 0.35 | 0.5385 | 0.4242 | 0.5675 | 0.7497 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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