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update model card README.md

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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: model_phoneme_onSet3
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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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+ # model_phoneme_onSet3
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+
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+ This model was trained from scratch on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.1119
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+ - eval_0_precision: 1.0
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+ - eval_0_recall: 0.9355
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+ - eval_0_f1-score: 0.9667
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+ - eval_0_support: 31
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+ - eval_1_precision: 0.9231
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+ - eval_1_recall: 1.0
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+ - eval_1_f1-score: 0.9600
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+ - eval_1_support: 24
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+ - eval_2_precision: 1.0
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+ - eval_2_recall: 0.9545
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+ - eval_2_f1-score: 0.9767
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+ - eval_2_support: 22
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+ - eval_3_precision: 0.9524
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+ - eval_3_recall: 1.0
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+ - eval_3_f1-score: 0.9756
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+ - eval_3_support: 20
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+ - eval_accuracy: 0.9691
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+ - eval_macro avg_precision: 0.9689
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+ - eval_macro avg_recall: 0.9725
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+ - eval_macro avg_f1-score: 0.9698
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+ - eval_macro avg_support: 97
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+ - eval_weighted avg_precision: 0.9711
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+ - eval_weighted avg_recall: 0.9691
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+ - eval_weighted avg_f1-score: 0.9691
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+ - eval_weighted avg_support: 97
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+ - eval_wer: 0.0986
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+ - eval_mtrix: [[0, 1, 2, 3], [0, 29, 1, 0, 1], [1, 0, 24, 0, 0], [2, 0, 1, 21, 0], [3, 0, 0, 0, 20]]
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+ - eval_runtime: 5.7078
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+ - eval_samples_per_second: 16.994
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+ - eval_steps_per_second: 2.278
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+ - step: 0
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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: 0.0003
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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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+ - lr_scheduler_warmup_steps: 200
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+ - num_epochs: 70
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.25.1
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+ - Pytorch 1.13.0+cu116
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+ - Datasets 2.8.0
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+ - Tokenizers 0.13.2