spellcorrector_11_02_050_1_per_word_v5
This model is a fine-tuned version of google/canine-s on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0399
- Precision: 0.9989
- Recall: 0.9946
- F1: 0.9968
- Accuracy: 0.9880
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: 5e-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: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.3884 | 1.0 | 967 | 0.1563 | 0.9714 | 0.9635 | 0.9674 | 0.9611 |
0.1648 | 2.0 | 1934 | 0.1297 | 0.9784 | 0.9716 | 0.9750 | 0.9669 |
0.1431 | 3.0 | 2901 | 0.1157 | 0.9924 | 0.9753 | 0.9838 | 0.9698 |
0.1286 | 4.0 | 3868 | 0.1042 | 0.9897 | 0.9807 | 0.9852 | 0.9722 |
0.1201 | 5.0 | 4835 | 0.0969 | 0.9903 | 0.9839 | 0.9871 | 0.9737 |
0.1134 | 6.0 | 5802 | 0.0882 | 0.9903 | 0.9861 | 0.9882 | 0.9757 |
0.106 | 7.0 | 6769 | 0.0808 | 0.9935 | 0.9855 | 0.9895 | 0.9773 |
0.1002 | 8.0 | 7736 | 0.0763 | 0.9924 | 0.9861 | 0.9892 | 0.9786 |
0.0945 | 9.0 | 8703 | 0.0696 | 0.9957 | 0.9855 | 0.9906 | 0.9799 |
0.0903 | 10.0 | 9670 | 0.0641 | 0.9919 | 0.9893 | 0.9906 | 0.9813 |
0.0866 | 11.0 | 10637 | 0.0597 | 0.9920 | 0.9925 | 0.9922 | 0.9825 |
0.0822 | 12.0 | 11604 | 0.0557 | 0.9962 | 0.9925 | 0.9944 | 0.9835 |
0.0787 | 13.0 | 12571 | 0.0523 | 0.9978 | 0.9914 | 0.9946 | 0.9843 |
0.0751 | 14.0 | 13538 | 0.0500 | 0.9984 | 0.9946 | 0.9965 | 0.9852 |
0.0715 | 15.0 | 14505 | 0.0467 | 0.9968 | 0.9946 | 0.9957 | 0.9861 |
0.0698 | 16.0 | 15472 | 0.0438 | 0.9995 | 0.9952 | 0.9973 | 0.9868 |
0.0674 | 17.0 | 16439 | 0.0426 | 0.9984 | 0.9952 | 0.9968 | 0.9870 |
0.0652 | 18.0 | 17406 | 0.0410 | 0.9989 | 0.9952 | 0.9970 | 0.9875 |
0.0639 | 19.0 | 18373 | 0.0403 | 0.9989 | 0.9946 | 0.9968 | 0.9879 |
0.0628 | 20.0 | 19340 | 0.0399 | 0.9989 | 0.9946 | 0.9968 | 0.9880 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Downloads last month
- 6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.