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---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-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. -->
# distilbert-base-uncased-finetuned-ner-cadec
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5810
- Precision: 0.6034
- Recall: 0.6772
- F1: 0.6382
- Accuracy: 0.9089
- Adr Precision: 0.5748
- Adr Recall: 0.685
- Adr F1: 0.6251
- Disease Precision: 0.2069
- Disease Recall: 0.24
- Disease F1: 0.2222
- Drug Precision: 0.8830
- Drug Recall: 0.9321
- Drug F1: 0.9069
- Finding Precision: 0.34
- Finding Recall: 0.2464
- Finding F1: 0.2857
- Symptom Precision: 0.5
- Symptom Recall: 0.4815
- Symptom F1: 0.4906
- B-adr Precision: 0.7445
- B-adr Recall: 0.7735
- B-adr F1: 0.7587
- B-disease Precision: 0.2917
- B-disease Recall: 0.28
- B-disease F1: 0.2857
- B-drug Precision: 0.9394
- B-drug Recall: 0.9568
- B-drug F1: 0.9480
- B-finding Precision: 0.5278
- B-finding Recall: 0.2879
- B-finding F1: 0.3725
- B-symptom Precision: 0.8
- B-symptom Recall: 0.5926
- B-symptom F1: 0.6809
- I-adr Precision: 0.5640
- I-adr Recall: 0.6781
- I-adr F1: 0.6158
- I-disease Precision: 0.2609
- I-disease Recall: 0.3
- I-disease F1: 0.2791
- I-drug Precision: 0.8935
- I-drug Recall: 0.9321
- I-drug F1: 0.9124
- I-finding Precision: 0.4211
- I-finding Recall: 0.3077
- I-finding F1: 0.3556
- I-symptom Precision: 0.375
- I-symptom Recall: 0.4615
- I-symptom F1: 0.4138
- Macro Avg F1: 0.5622
- Weighted Avg F1: 0.7023
## 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 | 0.3451 | 0.4393 | 0.5323 | 0.4813 | 0.8879 | 0.3653 | 0.5467 | 0.4379 | 0.0 | 0.0 | 0.0 | 0.8256 | 0.8765 | 0.8503 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6055 | 0.7469 | 0.6688 | 0.0 | 0.0 | 0.0 | 0.9299 | 0.9012 | 0.9154 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3752 | 0.5142 | 0.4338 | 0.0 | 0.0 | 0.0 | 0.8412 | 0.8827 | 0.8614 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2879 | 0.5549 |
| No log | 2.0 | 250 | 0.2944 | 0.5341 | 0.6127 | 0.5707 | 0.9016 | 0.49 | 0.6533 | 0.5600 | 0.0 | 0.0 | 0.0 | 0.8869 | 0.9198 | 0.9030 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6885 | 0.7823 | 0.7324 | 0.0 | 0.0 | 0.0 | 0.9563 | 0.9444 | 0.9503 | 0.4286 | 0.0455 | 0.0822 | 0.0 | 0.0 | 0.0 | 0.4883 | 0.6316 | 0.5508 | 0.0625 | 0.05 | 0.0556 | 0.8922 | 0.9198 | 0.9058 | 0.1905 | 0.0769 | 0.1096 | 0.0 | 0.0 | 0.0 | 0.3387 | 0.6298 |
| No log | 3.0 | 375 | 0.2897 | 0.5469 | 0.6410 | 0.5902 | 0.9043 | 0.5267 | 0.675 | 0.5917 | 0.0667 | 0.12 | 0.0857 | 0.8772 | 0.9259 | 0.9009 | 0.16 | 0.1159 | 0.1345 | 0.0 | 0.0 | 0.0 | 0.72 | 0.7965 | 0.7563 | 0.2632 | 0.2 | 0.2273 | 0.9333 | 0.9506 | 0.9419 | 0.5769 | 0.2273 | 0.3261 | 0.0 | 0.0 | 0.0 | 0.5144 | 0.6498 | 0.5742 | 0.0286 | 0.05 | 0.0364 | 0.8994 | 0.9383 | 0.9184 | 0.2286 | 0.1538 | 0.1839 | 0.0 | 0.0 | 0.0 | 0.3964 | 0.6619 |
| 0.3099 | 4.0 | 500 | 0.3058 | 0.5805 | 0.6410 | 0.6093 | 0.9074 | 0.5472 | 0.6667 | 0.6011 | 0.0952 | 0.08 | 0.0870 | 0.8862 | 0.9136 | 0.8997 | 0.2642 | 0.2029 | 0.2295 | 0.6667 | 0.0741 | 0.1333 | 0.7187 | 0.7823 | 0.7492 | 0.4167 | 0.2 | 0.2703 | 0.9448 | 0.9506 | 0.9477 | 0.5161 | 0.2424 | 0.3299 | 0.6667 | 0.0741 | 0.1333 | 0.5418 | 0.6296 | 0.5824 | 0.0833 | 0.05 | 0.0625 | 0.9146 | 0.9259 | 0.9202 | 0.3810 | 0.3077 | 0.3404 | 0.0 | 0.0 | 0.0 | 0.4336 | 0.6713 |
| 0.3099 | 5.0 | 625 | 0.3154 | 0.5639 | 0.6444 | 0.6015 | 0.9084 | 0.5393 | 0.6633 | 0.5949 | 0.1143 | 0.16 | 0.1333 | 0.8976 | 0.9198 | 0.9085 | 0.2333 | 0.2029 | 0.2171 | 0.4 | 0.1481 | 0.2162 | 0.7223 | 0.7965 | 0.7576 | 0.3333 | 0.24 | 0.2791 | 0.9503 | 0.9444 | 0.9474 | 0.525 | 0.3182 | 0.3962 | 0.5714 | 0.1481 | 0.2353 | 0.5398 | 0.6457 | 0.5880 | 0.0741 | 0.1 | 0.0851 | 0.9091 | 0.9259 | 0.9174 | 0.3947 | 0.2885 | 0.3333 | 0.6667 | 0.1538 | 0.25 | 0.4789 | 0.6825 |
| 0.3099 | 6.0 | 750 | 0.3438 | 0.5723 | 0.6501 | 0.6087 | 0.9083 | 0.5589 | 0.6567 | 0.6038 | 0.1379 | 0.32 | 0.1928 | 0.9036 | 0.9259 | 0.9146 | 0.2449 | 0.1739 | 0.2034 | 0.4 | 0.3704 | 0.3846 | 0.7375 | 0.7805 | 0.7584 | 0.2353 | 0.32 | 0.2712 | 0.9506 | 0.9506 | 0.9506 | 0.64 | 0.2424 | 0.3516 | 0.7143 | 0.3704 | 0.4878 | 0.5526 | 0.6275 | 0.5877 | 0.1 | 0.25 | 0.1429 | 0.9207 | 0.9321 | 0.9264 | 0.3235 | 0.2115 | 0.2558 | 0.2857 | 0.3077 | 0.2963 | 0.5029 | 0.6848 |
| 0.3099 | 7.0 | 875 | 0.3419 | 0.5839 | 0.6659 | 0.6222 | 0.9126 | 0.5536 | 0.6717 | 0.6069 | 0.2222 | 0.24 | 0.2308 | 0.9042 | 0.9321 | 0.9179 | 0.2951 | 0.2609 | 0.2769 | 0.4167 | 0.3704 | 0.3922 | 0.7276 | 0.8035 | 0.7637 | 0.35 | 0.28 | 0.3111 | 0.9506 | 0.9506 | 0.9506 | 0.5882 | 0.3030 | 0.4000 | 0.75 | 0.4444 | 0.5581 | 0.5614 | 0.6478 | 0.6015 | 0.2105 | 0.2 | 0.2051 | 0.9157 | 0.9383 | 0.9268 | 0.42 | 0.4038 | 0.4118 | 0.3333 | 0.3846 | 0.3571 | 0.5486 | 0.7012 |
| 0.106 | 8.0 | 1000 | 0.3835 | 0.5827 | 0.6501 | 0.6146 | 0.9113 | 0.5610 | 0.6433 | 0.5994 | 0.1481 | 0.16 | 0.1538 | 0.8909 | 0.9074 | 0.8991 | 0.3256 | 0.4058 | 0.3613 | 0.4737 | 0.3333 | 0.3913 | 0.7336 | 0.7894 | 0.7604 | 0.3333 | 0.28 | 0.3043 | 0.9563 | 0.9444 | 0.9503 | 0.56 | 0.4242 | 0.4828 | 0.7692 | 0.3704 | 0.5 | 0.5733 | 0.6093 | 0.5908 | 0.1176 | 0.1 | 0.1081 | 0.8970 | 0.9136 | 0.9052 | 0.3836 | 0.5385 | 0.4480 | 0.5 | 0.3846 | 0.4348 | 0.5485 | 0.6975 |
| 0.106 | 9.0 | 1125 | 0.3886 | 0.5704 | 0.6467 | 0.6062 | 0.9054 | 0.5413 | 0.645 | 0.5886 | 0.1667 | 0.28 | 0.2090 | 0.9048 | 0.9383 | 0.9212 | 0.3051 | 0.2609 | 0.2812 | 0.4118 | 0.2593 | 0.3182 | 0.7427 | 0.7664 | 0.7544 | 0.2667 | 0.32 | 0.2909 | 0.9451 | 0.9568 | 0.9509 | 0.6 | 0.3182 | 0.4158 | 0.8182 | 0.3333 | 0.4737 | 0.5167 | 0.6255 | 0.5659 | 0.1515 | 0.25 | 0.1887 | 0.9162 | 0.9444 | 0.9301 | 0.4222 | 0.3654 | 0.3918 | 0.2222 | 0.1538 | 0.1818 | 0.5144 | 0.6838 |
| 0.106 | 10.0 | 1250 | 0.4238 | 0.5812 | 0.6569 | 0.6167 | 0.9055 | 0.5559 | 0.6633 | 0.6049 | 0.1860 | 0.32 | 0.2353 | 0.8830 | 0.9321 | 0.9069 | 0.3659 | 0.2174 | 0.2727 | 0.2963 | 0.2963 | 0.2963 | 0.7274 | 0.7841 | 0.7547 | 0.2812 | 0.36 | 0.3158 | 0.9341 | 0.9630 | 0.9483 | 0.6667 | 0.2424 | 0.3556 | 0.7692 | 0.3704 | 0.5 | 0.5436 | 0.6437 | 0.5894 | 0.1562 | 0.25 | 0.1923 | 0.8889 | 0.9383 | 0.9129 | 0.5625 | 0.3462 | 0.4286 | 0.2222 | 0.3077 | 0.2581 | 0.5256 | 0.6894 |
| 0.106 | 11.0 | 1375 | 0.4241 | 0.6041 | 0.6704 | 0.6355 | 0.9085 | 0.5745 | 0.6617 | 0.6150 | 0.2333 | 0.28 | 0.2545 | 0.8862 | 0.9136 | 0.8997 | 0.4483 | 0.3768 | 0.4094 | 0.4118 | 0.5185 | 0.4590 | 0.7539 | 0.7699 | 0.7618 | 0.3636 | 0.32 | 0.3404 | 0.9620 | 0.9383 | 0.95 | 0.6279 | 0.4091 | 0.4954 | 0.6818 | 0.5556 | 0.6122 | 0.5484 | 0.6417 | 0.5914 | 0.2174 | 0.25 | 0.2326 | 0.8922 | 0.9198 | 0.9058 | 0.5238 | 0.4231 | 0.4681 | 0.2727 | 0.4615 | 0.3429 | 0.5701 | 0.7027 |
| 0.0487 | 12.0 | 1500 | 0.4209 | 0.5928 | 0.6727 | 0.6302 | 0.9122 | 0.5552 | 0.67 | 0.6073 | 0.3182 | 0.28 | 0.2979 | 0.9036 | 0.9259 | 0.9146 | 0.375 | 0.3478 | 0.3609 | 0.4231 | 0.4074 | 0.4151 | 0.7229 | 0.8035 | 0.7611 | 0.4444 | 0.32 | 0.3721 | 0.9625 | 0.9506 | 0.9565 | 0.65 | 0.3939 | 0.4906 | 0.8125 | 0.4815 | 0.6047 | 0.5556 | 0.6478 | 0.5981 | 0.2941 | 0.25 | 0.2703 | 0.9036 | 0.9259 | 0.9146 | 0.4286 | 0.4038 | 0.4158 | 0.2778 | 0.3846 | 0.3226 | 0.5706 | 0.7048 |
| 0.0487 | 13.0 | 1625 | 0.4513 | 0.6186 | 0.6852 | 0.6502 | 0.9119 | 0.5835 | 0.6933 | 0.6337 | 0.2727 | 0.24 | 0.2553 | 0.9042 | 0.9321 | 0.9179 | 0.3962 | 0.3043 | 0.3443 | 0.4783 | 0.4074 | 0.4400 | 0.7492 | 0.7929 | 0.7704 | 0.4118 | 0.28 | 0.3333 | 0.9451 | 0.9568 | 0.9509 | 0.6389 | 0.3485 | 0.4510 | 0.7222 | 0.4815 | 0.5778 | 0.5669 | 0.6862 | 0.6209 | 0.2632 | 0.25 | 0.2564 | 0.9042 | 0.9321 | 0.9179 | 0.475 | 0.3654 | 0.4130 | 0.2857 | 0.3077 | 0.2963 | 0.5588 | 0.7118 |
| 0.0487 | 14.0 | 1750 | 0.4426 | 0.6198 | 0.6795 | 0.6483 | 0.9127 | 0.5876 | 0.6817 | 0.6312 | 0.2667 | 0.32 | 0.2909 | 0.8976 | 0.9198 | 0.9085 | 0.42 | 0.3043 | 0.3529 | 0.5 | 0.4815 | 0.4906 | 0.7483 | 0.7841 | 0.7658 | 0.3077 | 0.32 | 0.3137 | 0.9563 | 0.9444 | 0.9503 | 0.6364 | 0.3182 | 0.4242 | 0.8333 | 0.5556 | 0.6667 | 0.5739 | 0.6599 | 0.6139 | 0.28 | 0.35 | 0.3111 | 0.8976 | 0.9198 | 0.9085 | 0.5263 | 0.3846 | 0.4444 | 0.375 | 0.4615 | 0.4138 | 0.5813 | 0.7097 |
| 0.0487 | 15.0 | 1875 | 0.4840 | 0.5939 | 0.6806 | 0.6343 | 0.9054 | 0.5742 | 0.6833 | 0.6240 | 0.2 | 0.32 | 0.2462 | 0.8728 | 0.9321 | 0.9015 | 0.3774 | 0.2899 | 0.3279 | 0.375 | 0.4444 | 0.4068 | 0.7349 | 0.7947 | 0.7636 | 0.2353 | 0.32 | 0.2712 | 0.9231 | 0.9630 | 0.9426 | 0.5882 | 0.3030 | 0.4000 | 0.7 | 0.5185 | 0.5957 | 0.5601 | 0.6700 | 0.6101 | 0.2143 | 0.3 | 0.25 | 0.8882 | 0.9321 | 0.9096 | 0.5 | 0.3846 | 0.4348 | 0.3182 | 0.5385 | 0.4000 | 0.5578 | 0.7030 |
| 0.0249 | 16.0 | 2000 | 0.4942 | 0.5853 | 0.6602 | 0.6205 | 0.9056 | 0.5479 | 0.6583 | 0.5980 | 0.2222 | 0.24 | 0.2308 | 0.8772 | 0.9259 | 0.9009 | 0.375 | 0.3043 | 0.336 | 0.5238 | 0.4074 | 0.4583 | 0.7208 | 0.7858 | 0.7519 | 0.3182 | 0.28 | 0.2979 | 0.9398 | 0.9630 | 0.9512 | 0.6111 | 0.3333 | 0.4314 | 0.75 | 0.4444 | 0.5581 | 0.5354 | 0.6437 | 0.5846 | 0.2273 | 0.25 | 0.2381 | 0.8876 | 0.9259 | 0.9063 | 0.4419 | 0.3654 | 0.4 | 0.4 | 0.4615 | 0.4286 | 0.5548 | 0.6915 |
| 0.0249 | 17.0 | 2125 | 0.5013 | 0.5874 | 0.6738 | 0.6276 | 0.9038 | 0.5491 | 0.68 | 0.6076 | 0.2286 | 0.32 | 0.2667 | 0.8830 | 0.9321 | 0.9069 | 0.3721 | 0.2319 | 0.2857 | 0.5714 | 0.4444 | 0.5 | 0.7093 | 0.7947 | 0.7496 | 0.2667 | 0.32 | 0.2909 | 0.9451 | 0.9568 | 0.9509 | 0.6071 | 0.2576 | 0.3617 | 0.75 | 0.4444 | 0.5581 | 0.5423 | 0.6619 | 0.5962 | 0.2308 | 0.3 | 0.2609 | 0.8882 | 0.9321 | 0.9096 | 0.4545 | 0.2885 | 0.3529 | 0.5 | 0.4615 | 0.4800 | 0.5511 | 0.6907 |
| 0.0249 | 18.0 | 2250 | 0.5036 | 0.5980 | 0.6704 | 0.6321 | 0.9087 | 0.5535 | 0.6817 | 0.6109 | 0.2857 | 0.24 | 0.2609 | 0.9255 | 0.9198 | 0.9226 | 0.38 | 0.2754 | 0.3193 | 0.4737 | 0.3333 | 0.3913 | 0.7211 | 0.8053 | 0.7609 | 0.3889 | 0.28 | 0.3256 | 0.9684 | 0.9444 | 0.9562 | 0.6176 | 0.3182 | 0.4200 | 0.7692 | 0.3704 | 0.5 | 0.5468 | 0.6619 | 0.5989 | 0.2778 | 0.25 | 0.2632 | 0.9255 | 0.9198 | 0.9226 | 0.4857 | 0.3269 | 0.3908 | 0.3571 | 0.3846 | 0.3704 | 0.5509 | 0.6998 |
| 0.0249 | 19.0 | 2375 | 0.4998 | 0.5823 | 0.6693 | 0.6228 | 0.9056 | 0.5467 | 0.6733 | 0.6034 | 0.2069 | 0.24 | 0.2222 | 0.8935 | 0.9321 | 0.9124 | 0.3333 | 0.2754 | 0.3016 | 0.5238 | 0.4074 | 0.4583 | 0.7315 | 0.7858 | 0.7577 | 0.2727 | 0.24 | 0.2553 | 0.9509 | 0.9568 | 0.9538 | 0.525 | 0.3182 | 0.3962 | 0.8 | 0.4444 | 0.5714 | 0.5329 | 0.6559 | 0.5880 | 0.2083 | 0.25 | 0.2273 | 0.8935 | 0.9321 | 0.9124 | 0.4722 | 0.3269 | 0.3864 | 0.3846 | 0.3846 | 0.3846 | 0.5433 | 0.6926 |
| 0.0142 | 20.0 | 2500 | 0.5451 | 0.5727 | 0.6738 | 0.6191 | 0.9020 | 0.5433 | 0.68 | 0.6040 | 0.1818 | 0.24 | 0.2069 | 0.8772 | 0.9259 | 0.9009 | 0.3519 | 0.2754 | 0.3089 | 0.4 | 0.4444 | 0.4211 | 0.7078 | 0.8018 | 0.7519 | 0.2692 | 0.28 | 0.2745 | 0.9455 | 0.9630 | 0.9541 | 0.5556 | 0.3030 | 0.3922 | 0.6842 | 0.4815 | 0.5652 | 0.5277 | 0.6559 | 0.5848 | 0.25 | 0.3 | 0.2727 | 0.8876 | 0.9259 | 0.9063 | 0.4878 | 0.3846 | 0.4301 | 0.3158 | 0.4615 | 0.3750 | 0.5507 | 0.6909 |
| 0.0142 | 21.0 | 2625 | 0.5272 | 0.6012 | 0.6761 | 0.6365 | 0.9064 | 0.5690 | 0.6733 | 0.6168 | 0.2121 | 0.28 | 0.2414 | 0.8882 | 0.9321 | 0.9096 | 0.4107 | 0.3333 | 0.3680 | 0.5 | 0.4444 | 0.4706 | 0.7433 | 0.7894 | 0.7657 | 0.2593 | 0.28 | 0.2692 | 0.9451 | 0.9568 | 0.9509 | 0.5714 | 0.3636 | 0.4444 | 0.6842 | 0.4815 | 0.5652 | 0.5493 | 0.6538 | 0.5970 | 0.2593 | 0.35 | 0.2979 | 0.8935 | 0.9321 | 0.9124 | 0.5122 | 0.4038 | 0.4516 | 0.3846 | 0.3846 | 0.3846 | 0.5639 | 0.7031 |
| 0.0142 | 22.0 | 2750 | 0.5135 | 0.5966 | 0.6716 | 0.6319 | 0.9092 | 0.5614 | 0.6633 | 0.6081 | 0.1875 | 0.24 | 0.2105 | 0.8929 | 0.9259 | 0.9091 | 0.4167 | 0.3623 | 0.3876 | 0.56 | 0.5185 | 0.5385 | 0.7395 | 0.7788 | 0.7586 | 0.2917 | 0.28 | 0.2857 | 0.9509 | 0.9568 | 0.9538 | 0.5532 | 0.3939 | 0.4602 | 0.7895 | 0.5556 | 0.6522 | 0.5477 | 0.6397 | 0.5901 | 0.2308 | 0.3 | 0.2609 | 0.8982 | 0.9259 | 0.9119 | 0.4889 | 0.4231 | 0.4536 | 0.4286 | 0.4615 | 0.4444 | 0.5771 | 0.7012 |
| 0.0142 | 23.0 | 2875 | 0.5271 | 0.5853 | 0.6682 | 0.6240 | 0.9091 | 0.5464 | 0.6667 | 0.6006 | 0.25 | 0.24 | 0.2449 | 0.8779 | 0.9321 | 0.9042 | 0.375 | 0.3043 | 0.336 | 0.5 | 0.4444 | 0.4706 | 0.7224 | 0.7876 | 0.7536 | 0.3333 | 0.28 | 0.3043 | 0.9401 | 0.9691 | 0.9544 | 0.5526 | 0.3182 | 0.4038 | 0.8235 | 0.5185 | 0.6364 | 0.5413 | 0.6498 | 0.5906 | 0.2632 | 0.25 | 0.2564 | 0.8830 | 0.9321 | 0.9069 | 0.4762 | 0.3846 | 0.4255 | 0.3571 | 0.3846 | 0.3704 | 0.5602 | 0.6952 |
| 0.009 | 24.0 | 3000 | 0.5268 | 0.5887 | 0.6580 | 0.6214 | 0.9100 | 0.5534 | 0.6567 | 0.6006 | 0.2143 | 0.24 | 0.2264 | 0.8824 | 0.9259 | 0.9036 | 0.3704 | 0.2899 | 0.3252 | 0.4783 | 0.4074 | 0.4400 | 0.7409 | 0.7894 | 0.7644 | 0.3043 | 0.28 | 0.2917 | 0.9398 | 0.9630 | 0.9512 | 0.6111 | 0.3333 | 0.4314 | 0.8667 | 0.4815 | 0.6190 | 0.5534 | 0.6397 | 0.5934 | 0.2727 | 0.3 | 0.2857 | 0.8876 | 0.9259 | 0.9063 | 0.4286 | 0.3462 | 0.3830 | 0.3333 | 0.3846 | 0.3571 | 0.5583 | 0.6990 |
| 0.009 | 25.0 | 3125 | 0.5392 | 0.5928 | 0.6693 | 0.6287 | 0.9080 | 0.5542 | 0.6733 | 0.6080 | 0.2069 | 0.24 | 0.2222 | 0.8876 | 0.9259 | 0.9063 | 0.4091 | 0.2609 | 0.3186 | 0.5 | 0.4815 | 0.4906 | 0.7310 | 0.7841 | 0.7566 | 0.3043 | 0.28 | 0.2917 | 0.9568 | 0.9568 | 0.9568 | 0.6129 | 0.2879 | 0.3918 | 0.7 | 0.5185 | 0.5957 | 0.5432 | 0.6619 | 0.5967 | 0.2609 | 0.3 | 0.2791 | 0.8982 | 0.9259 | 0.9119 | 0.5625 | 0.3462 | 0.4286 | 0.375 | 0.4615 | 0.4138 | 0.5623 | 0.6983 |
| 0.009 | 26.0 | 3250 | 0.5548 | 0.59 | 0.6682 | 0.6267 | 0.9049 | 0.5490 | 0.6717 | 0.6042 | 0.2333 | 0.28 | 0.2545 | 0.8779 | 0.9321 | 0.9042 | 0.4359 | 0.2464 | 0.3148 | 0.48 | 0.4444 | 0.4615 | 0.7313 | 0.7805 | 0.7551 | 0.28 | 0.28 | 0.28 | 0.9512 | 0.9630 | 0.9571 | 0.6207 | 0.2727 | 0.3789 | 0.7368 | 0.5185 | 0.6087 | 0.5317 | 0.6619 | 0.5897 | 0.3043 | 0.35 | 0.3256 | 0.8830 | 0.9321 | 0.9069 | 0.5357 | 0.2885 | 0.3750 | 0.3571 | 0.3846 | 0.3704 | 0.5547 | 0.6931 |
| 0.009 | 27.0 | 3375 | 0.5364 | 0.5768 | 0.6636 | 0.6172 | 0.9079 | 0.5386 | 0.6633 | 0.5945 | 0.2162 | 0.32 | 0.2581 | 0.8779 | 0.9321 | 0.9042 | 0.4048 | 0.2464 | 0.3063 | 0.4615 | 0.4444 | 0.4528 | 0.7159 | 0.7805 | 0.7468 | 0.2667 | 0.32 | 0.2909 | 0.9512 | 0.9630 | 0.9571 | 0.6 | 0.2727 | 0.3750 | 0.7778 | 0.5185 | 0.6222 | 0.5356 | 0.6397 | 0.5830 | 0.2414 | 0.35 | 0.2857 | 0.8830 | 0.9321 | 0.9069 | 0.5667 | 0.3269 | 0.4146 | 0.3333 | 0.3846 | 0.3571 | 0.5539 | 0.6889 |
| 0.007 | 28.0 | 3500 | 0.5642 | 0.5885 | 0.6738 | 0.6283 | 0.9052 | 0.5526 | 0.6833 | 0.6110 | 0.2222 | 0.24 | 0.2308 | 0.8817 | 0.9198 | 0.9003 | 0.3725 | 0.2754 | 0.3167 | 0.5 | 0.4074 | 0.4490 | 0.7150 | 0.7858 | 0.7487 | 0.2857 | 0.24 | 0.2609 | 0.9444 | 0.9444 | 0.9444 | 0.5135 | 0.2879 | 0.3689 | 0.8 | 0.4444 | 0.5714 | 0.5453 | 0.6822 | 0.6061 | 0.2727 | 0.3 | 0.2857 | 0.8982 | 0.9259 | 0.9119 | 0.4865 | 0.3462 | 0.4045 | 0.3333 | 0.3846 | 0.3571 | 0.5460 | 0.6941 |
| 0.007 | 29.0 | 3625 | 0.5695 | 0.5968 | 0.6772 | 0.6345 | 0.9063 | 0.5659 | 0.68 | 0.6177 | 0.25 | 0.28 | 0.2642 | 0.8889 | 0.9383 | 0.9129 | 0.3214 | 0.2609 | 0.2880 | 0.5 | 0.4815 | 0.4906 | 0.7321 | 0.7788 | 0.7547 | 0.3043 | 0.28 | 0.2917 | 0.9455 | 0.9630 | 0.9541 | 0.525 | 0.3182 | 0.3962 | 0.6364 | 0.5185 | 0.5714 | 0.5521 | 0.6761 | 0.6078 | 0.2727 | 0.3 | 0.2857 | 0.8994 | 0.9383 | 0.9184 | 0.4286 | 0.3462 | 0.3830 | 0.375 | 0.4615 | 0.4138 | 0.5577 | 0.6998 |
| 0.007 | 30.0 | 3750 | 0.5679 | 0.5910 | 0.6659 | 0.6262 | 0.9076 | 0.5627 | 0.6733 | 0.6131 | 0.2222 | 0.24 | 0.2308 | 0.8721 | 0.9259 | 0.8982 | 0.32 | 0.2319 | 0.2689 | 0.4286 | 0.4444 | 0.4364 | 0.7420 | 0.7788 | 0.7599 | 0.2727 | 0.24 | 0.2553 | 0.9451 | 0.9568 | 0.9509 | 0.5143 | 0.2727 | 0.3564 | 0.5909 | 0.4815 | 0.5306 | 0.5503 | 0.6640 | 0.6018 | 0.2609 | 0.3 | 0.2791 | 0.8830 | 0.9321 | 0.9069 | 0.4595 | 0.3269 | 0.3820 | 0.3125 | 0.3846 | 0.3448 | 0.5368 | 0.6947 |
| 0.007 | 31.0 | 3875 | 0.5647 | 0.5847 | 0.6648 | 0.6222 | 0.9082 | 0.5531 | 0.6683 | 0.6053 | 0.2059 | 0.28 | 0.2373 | 0.8772 | 0.9259 | 0.9009 | 0.3673 | 0.2609 | 0.3051 | 0.44 | 0.4074 | 0.4231 | 0.7329 | 0.7770 | 0.7543 | 0.2963 | 0.32 | 0.3077 | 0.9451 | 0.9568 | 0.9509 | 0.6129 | 0.2879 | 0.3918 | 0.7222 | 0.4815 | 0.5778 | 0.5431 | 0.6498 | 0.5917 | 0.24 | 0.3 | 0.2667 | 0.8824 | 0.9259 | 0.9036 | 0.4595 | 0.3269 | 0.3820 | 0.3125 | 0.3846 | 0.3448 | 0.5471 | 0.6921 |
| 0.0049 | 32.0 | 4000 | 0.5626 | 0.5899 | 0.6727 | 0.6286 | 0.9097 | 0.5577 | 0.6767 | 0.6114 | 0.2593 | 0.28 | 0.2692 | 0.8772 | 0.9259 | 0.9009 | 0.3273 | 0.2609 | 0.2903 | 0.5 | 0.4815 | 0.4906 | 0.7388 | 0.7858 | 0.7616 | 0.32 | 0.32 | 0.32 | 0.9451 | 0.9568 | 0.9509 | 0.5263 | 0.3030 | 0.3846 | 0.7895 | 0.5556 | 0.6522 | 0.5497 | 0.6599 | 0.5998 | 0.3 | 0.3 | 0.3 | 0.8882 | 0.9321 | 0.9096 | 0.4524 | 0.3654 | 0.4043 | 0.375 | 0.4615 | 0.4138 | 0.5697 | 0.7008 |
| 0.0049 | 33.0 | 4125 | 0.5695 | 0.6046 | 0.6806 | 0.6404 | 0.9111 | 0.5722 | 0.68 | 0.6215 | 0.2593 | 0.28 | 0.2692 | 0.8830 | 0.9321 | 0.9069 | 0.4 | 0.3188 | 0.3548 | 0.4643 | 0.4815 | 0.4727 | 0.7504 | 0.7823 | 0.7660 | 0.3333 | 0.32 | 0.3265 | 0.9451 | 0.9568 | 0.9509 | 0.5714 | 0.3636 | 0.4444 | 0.6957 | 0.5926 | 0.6400 | 0.5692 | 0.6741 | 0.6172 | 0.2727 | 0.3 | 0.2857 | 0.8941 | 0.9383 | 0.9157 | 0.4634 | 0.3654 | 0.4086 | 0.375 | 0.4615 | 0.4138 | 0.5769 | 0.7107 |
| 0.0049 | 34.0 | 4250 | 0.5680 | 0.6012 | 0.6761 | 0.6365 | 0.9106 | 0.5704 | 0.675 | 0.6183 | 0.2143 | 0.24 | 0.2264 | 0.8830 | 0.9321 | 0.9069 | 0.3929 | 0.3188 | 0.3520 | 0.4643 | 0.4815 | 0.4727 | 0.7492 | 0.7823 | 0.7654 | 0.3182 | 0.28 | 0.2979 | 0.9455 | 0.9630 | 0.9541 | 0.5814 | 0.3788 | 0.4587 | 0.7619 | 0.5926 | 0.6667 | 0.5619 | 0.6619 | 0.6078 | 0.25 | 0.3 | 0.2727 | 0.8882 | 0.9321 | 0.9096 | 0.5 | 0.3846 | 0.4348 | 0.3529 | 0.4615 | 0.4000 | 0.5768 | 0.7085 |
| 0.0049 | 35.0 | 4375 | 0.5719 | 0.6026 | 0.6784 | 0.6383 | 0.9100 | 0.5716 | 0.6783 | 0.6204 | 0.1935 | 0.24 | 0.2143 | 0.8889 | 0.9383 | 0.9129 | 0.3889 | 0.3043 | 0.3415 | 0.5 | 0.4815 | 0.4906 | 0.7491 | 0.7770 | 0.7628 | 0.28 | 0.28 | 0.28 | 0.9455 | 0.9630 | 0.9541 | 0.55 | 0.3333 | 0.4151 | 0.8 | 0.5926 | 0.6809 | 0.5622 | 0.6680 | 0.6105 | 0.25 | 0.3 | 0.2727 | 0.8994 | 0.9383 | 0.9184 | 0.4390 | 0.3462 | 0.3871 | 0.375 | 0.4615 | 0.4138 | 0.5695 | 0.7060 |
| 0.0041 | 36.0 | 4500 | 0.5802 | 0.5982 | 0.6761 | 0.6348 | 0.9085 | 0.5641 | 0.675 | 0.6146 | 0.2414 | 0.28 | 0.2593 | 0.8786 | 0.9383 | 0.9075 | 0.3774 | 0.2899 | 0.3279 | 0.52 | 0.4815 | 0.5 | 0.7358 | 0.7788 | 0.7567 | 0.2917 | 0.28 | 0.2857 | 0.9401 | 0.9691 | 0.9544 | 0.5366 | 0.3333 | 0.4112 | 0.7368 | 0.5185 | 0.6087 | 0.5544 | 0.6700 | 0.6068 | 0.3182 | 0.35 | 0.3333 | 0.8941 | 0.9383 | 0.9157 | 0.4474 | 0.3269 | 0.3778 | 0.375 | 0.4615 | 0.4138 | 0.5664 | 0.7015 |
| 0.0041 | 37.0 | 4625 | 0.5831 | 0.6074 | 0.6852 | 0.6440 | 0.9083 | 0.5732 | 0.6917 | 0.6269 | 0.2222 | 0.24 | 0.2308 | 0.8837 | 0.9383 | 0.9102 | 0.3958 | 0.2754 | 0.3248 | 0.52 | 0.4815 | 0.5 | 0.7358 | 0.7788 | 0.7567 | 0.2917 | 0.28 | 0.2857 | 0.9455 | 0.9630 | 0.9541 | 0.5556 | 0.3030 | 0.3922 | 0.7368 | 0.5185 | 0.6087 | 0.5574 | 0.6781 | 0.6119 | 0.2632 | 0.25 | 0.2564 | 0.8941 | 0.9383 | 0.9157 | 0.4857 | 0.3269 | 0.3908 | 0.375 | 0.4615 | 0.4138 | 0.5586 | 0.7017 |
| 0.0041 | 38.0 | 4750 | 0.5736 | 0.5994 | 0.6795 | 0.6369 | 0.9101 | 0.5679 | 0.6833 | 0.6203 | 0.2069 | 0.24 | 0.2222 | 0.8837 | 0.9383 | 0.9102 | 0.3654 | 0.2754 | 0.3140 | 0.5 | 0.4815 | 0.4906 | 0.7417 | 0.7876 | 0.7639 | 0.2917 | 0.28 | 0.2857 | 0.9398 | 0.9630 | 0.9512 | 0.5385 | 0.3182 | 0.4000 | 0.8 | 0.5926 | 0.6809 | 0.5618 | 0.6721 | 0.6120 | 0.2609 | 0.3 | 0.2791 | 0.8941 | 0.9383 | 0.9157 | 0.4474 | 0.3269 | 0.3778 | 0.375 | 0.4615 | 0.4138 | 0.5680 | 0.7055 |
| 0.0041 | 39.0 | 4875 | 0.5792 | 0.6047 | 0.6772 | 0.6389 | 0.9092 | 0.5764 | 0.685 | 0.6260 | 0.2069 | 0.24 | 0.2222 | 0.8830 | 0.9321 | 0.9069 | 0.34 | 0.2464 | 0.2857 | 0.5 | 0.4815 | 0.4906 | 0.7470 | 0.7735 | 0.76 | 0.2917 | 0.28 | 0.2857 | 0.9451 | 0.9568 | 0.9509 | 0.5135 | 0.2879 | 0.3689 | 0.8 | 0.5926 | 0.6809 | 0.5659 | 0.6781 | 0.6169 | 0.2609 | 0.3 | 0.2791 | 0.8935 | 0.9321 | 0.9124 | 0.4211 | 0.3077 | 0.3556 | 0.375 | 0.4615 | 0.4138 | 0.5624 | 0.7032 |
| 0.0033 | 40.0 | 5000 | 0.5810 | 0.6034 | 0.6772 | 0.6382 | 0.9089 | 0.5748 | 0.685 | 0.6251 | 0.2069 | 0.24 | 0.2222 | 0.8830 | 0.9321 | 0.9069 | 0.34 | 0.2464 | 0.2857 | 0.5 | 0.4815 | 0.4906 | 0.7445 | 0.7735 | 0.7587 | 0.2917 | 0.28 | 0.2857 | 0.9394 | 0.9568 | 0.9480 | 0.5278 | 0.2879 | 0.3725 | 0.8 | 0.5926 | 0.6809 | 0.5640 | 0.6781 | 0.6158 | 0.2609 | 0.3 | 0.2791 | 0.8935 | 0.9321 | 0.9124 | 0.4211 | 0.3077 | 0.3556 | 0.375 | 0.4615 | 0.4138 | 0.5622 | 0.7023 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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