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canine_vowelizer_0706_v4

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canine
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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: canine_vowelizer_0706_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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+ # canine_vowelizer_0706_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: 0.1450
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+ - Precision: 1.0000
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+ - Recall: 1.0
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+ - F1: 1.0000
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+ - Accuracy: 0.9775
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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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+ | 0.1088 | 1.0 | 1951 | 0.1144 | 0.9999 | 1.0 | 1.0000 | 0.9628 |
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+ | 0.1009 | 2.0 | 3902 | 0.1023 | 0.9999 | 1.0 | 1.0000 | 0.9657 |
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+ | 0.0917 | 3.0 | 5853 | 0.0985 | 1.0000 | 1.0 | 1.0000 | 0.9690 |
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+ | 0.0757 | 4.0 | 7804 | 0.0928 | 1.0000 | 1.0000 | 1.0000 | 0.9712 |
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+ | 0.0635 | 5.0 | 9755 | 0.0932 | 0.9999 | 1.0 | 1.0000 | 0.9725 |
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+ | 0.0542 | 6.0 | 11706 | 0.0943 | 0.9999 | 1.0000 | 1.0000 | 0.9735 |
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+ | 0.0453 | 7.0 | 13657 | 0.0980 | 1.0000 | 1.0000 | 1.0000 | 0.9738 |
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+ | 0.0369 | 8.0 | 15608 | 0.1037 | 1.0000 | 1.0 | 1.0000 | 0.9750 |
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+ | 0.0308 | 9.0 | 17559 | 0.1056 | 1.0000 | 1.0000 | 1.0000 | 0.9747 |
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+ | 0.0275 | 10.0 | 19510 | 0.1138 | 1.0000 | 1.0 | 1.0000 | 0.9757 |
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+ | 0.0222 | 11.0 | 21461 | 0.1187 | 1.0000 | 1.0 | 1.0000 | 0.9757 |
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+ | 0.0185 | 12.0 | 23412 | 0.1201 | 1.0000 | 1.0000 | 1.0000 | 0.9761 |
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+ | 0.0166 | 13.0 | 25363 | 0.1239 | 1.0000 | 1.0000 | 1.0000 | 0.9764 |
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+ | 0.0146 | 14.0 | 27314 | 0.1302 | 1.0000 | 1.0 | 1.0000 | 0.9768 |
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+ | 0.0112 | 15.0 | 29265 | 0.1351 | 1.0000 | 1.0000 | 1.0000 | 0.9768 |
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+ | 0.0104 | 16.0 | 31216 | 0.1386 | 1.0000 | 1.0 | 1.0000 | 0.9769 |
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+ | 0.0092 | 17.0 | 33167 | 0.1379 | 1.0000 | 1.0 | 1.0000 | 0.9771 |
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+ | 0.0079 | 18.0 | 35118 | 0.1453 | 1.0000 | 1.0 | 1.0000 | 0.9771 |
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+ | 0.0071 | 19.0 | 37069 | 0.1444 | 1.0000 | 1.0 | 1.0000 | 0.9775 |
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+ | 0.0067 | 20.0 | 39020 | 0.1450 | 1.0000 | 1.0 | 1.0000 | 0.9775 |
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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 2.14.0
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+ - Tokenizers 0.13.3