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Buseak
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spellcorrector_1009_v4

Token Classification
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PyTorch
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canine
Generated from Trainer
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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_1009_v4
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+ results: []
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+ ---
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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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+
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+ # spellcorrector_1009_v4
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+
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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: 0.3307
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+ - Precision: 0.9681
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+ - Recall: 0.9681
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+ - F1: 0.9681
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+ - Accuracy: 0.9573
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.2767 | 1.0 | 1951 | 0.2331 | 0.96 | 0.9562 | 0.9581 | 0.9383 |
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+ | 0.2181 | 2.0 | 3902 | 0.2028 | 0.9524 | 0.9562 | 0.9543 | 0.9450 |
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+ | 0.1776 | 3.0 | 5853 | 0.2019 | 0.96 | 0.9562 | 0.9581 | 0.9498 |
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+ | 0.1519 | 4.0 | 7804 | 0.2038 | 0.9526 | 0.9602 | 0.9563 | 0.9498 |
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+ | 0.1277 | 5.0 | 9755 | 0.2091 | 0.9567 | 0.9681 | 0.9624 | 0.9521 |
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+ | 0.1133 | 6.0 | 11706 | 0.2187 | 0.9449 | 0.9562 | 0.9505 | 0.9540 |
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+ | 0.1041 | 7.0 | 13657 | 0.2378 | 0.9762 | 0.9801 | 0.9781 | 0.9545 |
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+ | 0.0906 | 8.0 | 15608 | 0.2371 | 0.9603 | 0.9641 | 0.9622 | 0.9558 |
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+ | 0.0806 | 9.0 | 17559 | 0.2509 | 0.976 | 0.9721 | 0.9741 | 0.9532 |
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+ | 0.0689 | 10.0 | 19510 | 0.2624 | 0.9681 | 0.9681 | 0.9681 | 0.9563 |
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+ | 0.0623 | 11.0 | 21461 | 0.2623 | 0.976 | 0.9721 | 0.9741 | 0.9559 |
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+ | 0.06 | 12.0 | 23412 | 0.2783 | 0.9643 | 0.9681 | 0.9662 | 0.9564 |
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+ | 0.0537 | 13.0 | 25363 | 0.2938 | 0.976 | 0.9721 | 0.9741 | 0.9569 |
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+ | 0.0507 | 14.0 | 27314 | 0.2976 | 0.9603 | 0.9641 | 0.9622 | 0.9565 |
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+ | 0.0491 | 15.0 | 29265 | 0.3075 | 0.9681 | 0.9681 | 0.9681 | 0.9576 |
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+ | 0.0426 | 16.0 | 31216 | 0.3182 | 0.9681 | 0.9681 | 0.9681 | 0.9571 |
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+ | 0.0426 | 17.0 | 33167 | 0.3154 | 0.9681 | 0.9681 | 0.9681 | 0.9572 |
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+ | 0.0387 | 18.0 | 35118 | 0.3266 | 0.9681 | 0.9681 | 0.9681 | 0.9573 |
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+ | 0.0336 | 19.0 | 37069 | 0.3317 | 0.9681 | 0.9681 | 0.9681 | 0.9574 |
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+ | 0.0341 | 20.0 | 39020 | 0.3307 | 0.9681 | 0.9681 | 0.9681 | 0.9573 |
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+
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+
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+ ### Framework versions
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+
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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