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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: spellcorrector_810_v12 |
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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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# spellcorrector_810_v12 |
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This model is a fine-tuned version of [google/canine-s](https://huggingface.co/google/canine-s) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0041 |
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- Precision: 0.9992 |
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- Recall: 0.9990 |
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- F1: 0.9991 |
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- Accuracy: 0.9990 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 25 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.1941 | 1.0 | 1951 | 0.1593 | 0.9157 | 0.9720 | 0.9431 | 0.9616 | |
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| 0.1594 | 2.0 | 3902 | 0.1279 | 0.9313 | 0.9746 | 0.9524 | 0.9672 | |
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| 0.1334 | 3.0 | 5853 | 0.1078 | 0.9423 | 0.9772 | 0.9594 | 0.9713 | |
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| 0.1216 | 4.0 | 7804 | 0.0901 | 0.9537 | 0.9770 | 0.9652 | 0.9752 | |
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| 0.1061 | 5.0 | 9755 | 0.0745 | 0.9600 | 0.9804 | 0.9701 | 0.9789 | |
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| 0.092 | 6.0 | 11706 | 0.0600 | 0.9703 | 0.9826 | 0.9764 | 0.9830 | |
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| 0.0809 | 7.0 | 13657 | 0.0492 | 0.9755 | 0.9866 | 0.9810 | 0.9862 | |
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| 0.0671 | 8.0 | 15608 | 0.0449 | 0.9827 | 0.9837 | 0.9832 | 0.9874 | |
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| 0.062 | 9.0 | 17559 | 0.0365 | 0.9848 | 0.9878 | 0.9863 | 0.9896 | |
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| 0.0534 | 10.0 | 19510 | 0.0325 | 0.9873 | 0.9885 | 0.9879 | 0.9907 | |
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| 0.0474 | 11.0 | 21461 | 0.0267 | 0.9887 | 0.9918 | 0.9902 | 0.9922 | |
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| 0.042 | 12.0 | 23412 | 0.0228 | 0.9904 | 0.9932 | 0.9918 | 0.9933 | |
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| 0.0384 | 13.0 | 25363 | 0.0216 | 0.9929 | 0.9925 | 0.9927 | 0.9937 | |
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| 0.0338 | 14.0 | 27314 | 0.0201 | 0.9939 | 0.9935 | 0.9937 | 0.9943 | |
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| 0.0298 | 15.0 | 29265 | 0.0150 | 0.9949 | 0.9954 | 0.9951 | 0.9956 | |
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| 0.0262 | 16.0 | 31216 | 0.0128 | 0.9959 | 0.9961 | 0.9960 | 0.9962 | |
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| 0.0232 | 17.0 | 33167 | 0.0109 | 0.9970 | 0.9966 | 0.9968 | 0.9968 | |
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| 0.0222 | 18.0 | 35118 | 0.0090 | 0.9976 | 0.9977 | 0.9976 | 0.9974 | |
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| 0.0193 | 19.0 | 37069 | 0.0079 | 0.9979 | 0.9980 | 0.9980 | 0.9978 | |
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| 0.0185 | 20.0 | 39020 | 0.0068 | 0.9984 | 0.9982 | 0.9983 | 0.9981 | |
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| 0.016 | 21.0 | 40971 | 0.0057 | 0.9988 | 0.9985 | 0.9986 | 0.9985 | |
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| 0.0145 | 22.0 | 42922 | 0.0053 | 0.9989 | 0.9985 | 0.9987 | 0.9985 | |
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| 0.0136 | 23.0 | 44873 | 0.0045 | 0.9991 | 0.9988 | 0.9990 | 0.9988 | |
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| 0.0136 | 24.0 | 46824 | 0.0043 | 0.9992 | 0.9990 | 0.9991 | 0.9989 | |
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| 0.0116 | 25.0 | 48775 | 0.0041 | 0.9992 | 0.9990 | 0.9991 | 0.9990 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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