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update model card README.md
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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_broadclass_onSet3
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results: []
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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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# model_broadclass_onSet3
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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: 0.1389
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- eval_0_precision: 1.0
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- eval_0_recall: 1.0
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- eval_0_f1-score: 1.0
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- eval_0_support: 23
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- eval_1_precision: 0.9697
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- eval_1_recall: 0.9697
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- eval_1_f1-score: 0.9697
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- eval_1_support: 33
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- eval_2_precision: 1.0
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- eval_2_recall: 1.0
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- eval_2_f1-score: 1.0
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- eval_2_support: 26
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- eval_3_precision: 0.9333
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- eval_3_recall: 0.9333
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- eval_3_f1-score: 0.9333
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- eval_3_support: 15
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- eval_accuracy: 0.9794
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- eval_macro avg_precision: 0.9758
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- eval_macro avg_recall: 0.9758
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- eval_macro avg_f1-score: 0.9758
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- eval_macro avg_support: 97
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- eval_weighted avg_precision: 0.9794
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- eval_weighted avg_recall: 0.9794
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- eval_weighted avg_f1-score: 0.9794
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- eval_weighted avg_support: 97
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- eval_wer: 0.1037
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- eval_mtrix: [[0, 1, 2, 3], [0, 23, 0, 0, 0], [1, 0, 32, 0, 1], [2, 0, 0, 26, 0], [3, 0, 1, 0, 14]]
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- eval_runtime: 5.6481
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- eval_samples_per_second: 17.174
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- eval_steps_per_second: 2.302
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- step: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 80
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- mixed_precision_training: Native AMP
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### Framework versions
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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
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