update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: canine_vowelizer_0701_retrain
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# canine_vowelizer_0701_retrain
+
+This model is a fine-tuned version of [Buseak/canine_vowelizer_0701](https://huggingface.co/Buseak/canine_vowelizer_0701) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0066
+- Precision: 1.0000
+- Recall: 1.0000
+- F1: 1.0000
+- Accuracy: 0.9980
+
+## 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: 2e-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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0816        | 1.0   | 976  | 0.0322          | 1.0000    | 1.0000 | 1.0000 | 0.9891   |
+| 0.0776        | 2.0   | 1952 | 0.0273          | 0.9999    | 1.0000 | 1.0000 | 0.9906   |
+| 0.0694        | 3.0   | 2928 | 0.0228          | 0.9999    | 1.0000 | 1.0000 | 0.9924   |
+| 0.0617        | 4.0   | 3904 | 0.0181          | 1.0000    | 1.0000 | 1.0000 | 0.9939   |
+| 0.0559        | 5.0   | 4880 | 0.0144          | 1.0000    | 1.0000 | 1.0000 | 0.9952   |
+| 0.0477        | 6.0   | 5856 | 0.0120          | 1.0000    | 1.0000 | 1.0000 | 0.9962   |
+| 0.0438        | 7.0   | 6832 | 0.0098          | 1.0000    | 1.0000 | 1.0000 | 0.9969   |
+| 0.0397        | 8.0   | 7808 | 0.0080          | 1.0000    | 1.0000 | 1.0000 | 0.9975   |
+| 0.0365        | 9.0   | 8784 | 0.0071          | 1.0000    | 1.0000 | 1.0000 | 0.9978   |
+| 0.0328        | 10.0  | 9760 | 0.0066          | 1.0000    | 1.0000 | 1.0000 | 0.9980   |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.13.3