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--- |
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license: apache-2.0 |
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base_model: google-bert/bert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: working |
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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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# working |
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0013 |
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- Accuracy: 0.9997 |
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- F1: 0.9997 |
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- Precision: 0.9997 |
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- Recall: 0.9997 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 1.7386 | 0.05 | 10 | 1.4921 | 0.5744 | 0.5473 | 0.6739 | 0.5638 | |
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| 1.2954 | 0.11 | 20 | 0.9534 | 0.9091 | 0.9066 | 0.9148 | 0.9082 | |
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| 0.7734 | 0.16 | 30 | 0.4544 | 0.9570 | 0.9567 | 0.9585 | 0.9578 | |
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| 0.3456 | 0.21 | 40 | 0.1662 | 0.9907 | 0.9908 | 0.9909 | 0.9907 | |
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| 0.1226 | 0.26 | 50 | 0.0743 | 0.9914 | 0.9914 | 0.9916 | 0.9914 | |
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| 0.0709 | 0.32 | 60 | 0.0446 | 0.9917 | 0.9917 | 0.9921 | 0.9914 | |
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| 0.0565 | 0.37 | 70 | 0.0408 | 0.9897 | 0.9898 | 0.9897 | 0.9900 | |
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| 0.0172 | 0.42 | 80 | 0.0214 | 0.9967 | 0.9967 | 0.9966 | 0.9968 | |
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| 0.0234 | 0.48 | 90 | 0.0217 | 0.9954 | 0.9954 | 0.9954 | 0.9954 | |
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| 0.027 | 0.53 | 100 | 0.0158 | 0.9977 | 0.9977 | 0.9976 | 0.9977 | |
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| 0.0346 | 0.58 | 110 | 0.0119 | 0.9980 | 0.9980 | 0.9980 | 0.9981 | |
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| 0.0621 | 0.63 | 120 | 0.0093 | 0.9990 | 0.9990 | 0.9990 | 0.9990 | |
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| 0.0065 | 0.69 | 130 | 0.0156 | 0.9960 | 0.9960 | 0.9960 | 0.9960 | |
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| 0.006 | 0.74 | 140 | 0.0081 | 0.9980 | 0.9980 | 0.9979 | 0.9980 | |
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| 0.0045 | 0.79 | 150 | 0.0091 | 0.9970 | 0.9970 | 0.9969 | 0.9971 | |
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| 0.0108 | 0.85 | 160 | 0.0045 | 0.9997 | 0.9997 | 0.9997 | 0.9996 | |
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| 0.0128 | 0.9 | 170 | 0.0033 | 0.9997 | 0.9997 | 0.9997 | 0.9996 | |
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| 0.0166 | 0.95 | 180 | 0.0112 | 0.9974 | 0.9974 | 0.9973 | 0.9974 | |
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| 0.0031 | 1.01 | 190 | 0.0117 | 0.9974 | 0.9974 | 0.9973 | 0.9974 | |
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| 0.0028 | 1.06 | 200 | 0.0143 | 0.9967 | 0.9967 | 0.9967 | 0.9967 | |
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| 0.0031 | 1.11 | 210 | 0.0076 | 0.9987 | 0.9987 | 0.9987 | 0.9987 | |
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| 0.0126 | 1.16 | 220 | 0.0051 | 0.9990 | 0.9990 | 0.9990 | 0.9990 | |
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| 0.0194 | 1.22 | 230 | 0.0048 | 0.9993 | 0.9993 | 0.9993 | 0.9993 | |
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| 0.0021 | 1.27 | 240 | 0.0093 | 0.9980 | 0.9980 | 0.9980 | 0.9980 | |
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| 0.002 | 1.32 | 250 | 0.0082 | 0.9983 | 0.9983 | 0.9983 | 0.9983 | |
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| 0.0187 | 1.38 | 260 | 0.0041 | 0.9993 | 0.9993 | 0.9993 | 0.9993 | |
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| 0.0018 | 1.43 | 270 | 0.0049 | 0.9990 | 0.9990 | 0.9990 | 0.9990 | |
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| 0.0016 | 1.48 | 280 | 0.0050 | 0.9987 | 0.9987 | 0.9987 | 0.9986 | |
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| 0.0016 | 1.53 | 290 | 0.0047 | 0.9993 | 0.9993 | 0.9993 | 0.9993 | |
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| 0.0014 | 1.59 | 300 | 0.0049 | 0.9993 | 0.9993 | 0.9993 | 0.9993 | |
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| 0.0014 | 1.64 | 310 | 0.0050 | 0.9990 | 0.9990 | 0.9990 | 0.9990 | |
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| 0.0013 | 1.69 | 320 | 0.0051 | 0.9990 | 0.9990 | 0.9990 | 0.9990 | |
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| 0.0089 | 1.75 | 330 | 0.0360 | 0.9911 | 0.9911 | 0.9913 | 0.9911 | |
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| 0.0211 | 1.8 | 340 | 0.0042 | 0.9987 | 0.9987 | 0.9987 | 0.9987 | |
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| 0.0014 | 1.85 | 350 | 0.0223 | 0.9957 | 0.9957 | 0.9957 | 0.9957 | |
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| 0.003 | 1.9 | 360 | 0.0027 | 0.9993 | 0.9993 | 0.9993 | 0.9993 | |
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| 0.0086 | 1.96 | 370 | 0.0026 | 0.9993 | 0.9994 | 0.9994 | 0.9993 | |
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| 0.0013 | 2.01 | 380 | 0.0023 | 0.9990 | 0.9990 | 0.9990 | 0.9990 | |
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| 0.0011 | 2.06 | 390 | 0.0037 | 0.9987 | 0.9987 | 0.9987 | 0.9986 | |
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| 0.0047 | 2.12 | 400 | 0.0066 | 0.9980 | 0.9980 | 0.9980 | 0.9980 | |
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| 0.0013 | 2.17 | 410 | 0.0037 | 0.9990 | 0.9990 | 0.9990 | 0.9990 | |
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| 0.001 | 2.22 | 420 | 0.0020 | 0.9997 | 0.9997 | 0.9997 | 0.9996 | |
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| 0.0009 | 2.28 | 430 | 0.0014 | 0.9997 | 0.9997 | 0.9997 | 0.9996 | |
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| 0.0009 | 2.33 | 440 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9996 | |
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| 0.0008 | 2.38 | 450 | 0.0011 | 0.9997 | 0.9997 | 0.9997 | 0.9996 | |
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| 0.0008 | 2.43 | 460 | 0.0011 | 0.9997 | 0.9997 | 0.9997 | 0.9996 | |
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| 0.0009 | 2.49 | 470 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0008 | 2.54 | 480 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0007 | 2.59 | 490 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0007 | 2.65 | 500 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0007 | 2.7 | 510 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.014 | 2.75 | 520 | 0.0019 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0009 | 2.8 | 530 | 0.0036 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0007 | 2.86 | 540 | 0.0036 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0007 | 2.91 | 550 | 0.0032 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0006 | 2.96 | 560 | 0.0028 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0006 | 3.02 | 570 | 0.0026 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0006 | 3.07 | 580 | 0.0024 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0007 | 3.12 | 590 | 0.0023 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0005 | 3.17 | 600 | 0.0021 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0006 | 3.23 | 610 | 0.0021 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0006 | 3.28 | 620 | 0.0018 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0005 | 3.33 | 630 | 0.0017 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0005 | 3.39 | 640 | 0.0016 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0005 | 3.44 | 650 | 0.0014 | 0.9993 | 0.9993 | 0.9994 | 0.9993 | |
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| 0.0005 | 3.49 | 660 | 0.0013 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0005 | 3.54 | 670 | 0.0012 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0005 | 3.6 | 680 | 0.0011 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 3.65 | 690 | 0.0011 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 3.7 | 700 | 0.0011 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 3.76 | 710 | 0.0010 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 3.81 | 720 | 0.0010 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 3.86 | 730 | 0.0010 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 3.92 | 740 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 3.97 | 750 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.02 | 760 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.07 | 770 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.13 | 780 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.18 | 790 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.23 | 800 | 0.0009 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.29 | 810 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.34 | 820 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.39 | 830 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.44 | 840 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.5 | 850 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 4.55 | 860 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0004 | 4.6 | 870 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 4.66 | 880 | 0.0008 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 4.71 | 890 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 4.76 | 900 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 4.81 | 910 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 4.87 | 920 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 4.92 | 930 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 4.97 | 940 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 5.03 | 950 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 5.08 | 960 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 5.13 | 970 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 5.19 | 980 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 5.24 | 990 | 0.0007 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 5.29 | 1000 | 0.0006 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 5.34 | 1010 | 0.0006 | 0.9997 | 0.9997 | 0.9997 | 0.9997 | |
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| 0.0003 | 5.4 | 1020 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.45 | 1030 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.5 | 1040 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.56 | 1050 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.61 | 1060 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.66 | 1070 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.71 | 1080 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.77 | 1090 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.82 | 1100 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.87 | 1110 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.93 | 1120 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 5.98 | 1130 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 6.03 | 1140 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 6.08 | 1150 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 6.14 | 1160 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 6.19 | 1170 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 6.24 | 1180 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 6.3 | 1190 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.35 | 1200 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0003 | 6.4 | 1210 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.46 | 1220 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.51 | 1230 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.56 | 1240 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.61 | 1250 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.67 | 1260 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.72 | 1270 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.77 | 1280 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.83 | 1290 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.88 | 1300 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.93 | 1310 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 6.98 | 1320 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.04 | 1330 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.09 | 1340 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.14 | 1350 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.2 | 1360 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.25 | 1370 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.3 | 1380 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.35 | 1390 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.41 | 1400 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.46 | 1410 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.51 | 1420 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.57 | 1430 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.62 | 1440 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.67 | 1450 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.72 | 1460 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.78 | 1470 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.83 | 1480 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.88 | 1490 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.94 | 1500 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 7.99 | 1510 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.04 | 1520 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.1 | 1530 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.15 | 1540 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.2 | 1550 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.25 | 1560 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.31 | 1570 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.36 | 1580 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.41 | 1590 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.47 | 1600 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.52 | 1610 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.57 | 1620 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.62 | 1630 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.68 | 1640 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.73 | 1650 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.78 | 1660 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.84 | 1670 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.89 | 1680 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.94 | 1690 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 8.99 | 1700 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.05 | 1710 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.1 | 1720 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.15 | 1730 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.21 | 1740 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.26 | 1750 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.31 | 1760 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.37 | 1770 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.42 | 1780 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.47 | 1790 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.52 | 1800 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.58 | 1810 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.63 | 1820 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.68 | 1830 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.74 | 1840 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.79 | 1850 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.84 | 1860 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.89 | 1870 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0002 | 9.95 | 1880 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
|
| 0.0002 | 10.0 | 1890 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | |
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|
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### Framework versions |
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|
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.2 |
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|
