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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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- accuracy |
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- f1 |
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- precision |
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- recall |
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base_model: facebook/wav2vec2-large-robust |
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model-index: |
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- name: Wav2vec2-large-robust-Pronounciation-Evaluation |
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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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# Wav2vec2-large-robust-Pronounciation-Evaluation |
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This model is a fine-tuned version of [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7846 |
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- Accuracy: 0.72 |
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- F1: 0.72 |
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- Precision: 0.72 |
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- Recall: 0.72 |
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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: 0.0001 |
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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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- 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_ratio: 0.1 |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|:---------:|:------:| |
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| 0.7468 | 1.0 | 500 | 0.9762 | 0.616 | 0.616 | 0.616 | 0.616 | |
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| 0.492 | 2.0 | 1000 | 1.1308 | 0.536 | 0.536 | 0.536 | 0.536 | |
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| 0.619 | 3.0 | 1500 | 0.7913 | 0.688 | 0.688 | 0.688 | 0.688 | |
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| 0.56 | 4.0 | 2000 | 0.8142 | 0.67 | 0.67 | 0.67 | 0.67 | |
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| 0.4561 | 5.0 | 2500 | 0.7452 | 0.708 | 0.708 | 0.708 | 0.708 | |
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| 0.5474 | 6.0 | 3000 | 0.7846 | 0.72 | 0.72 | 0.72 | 0.72 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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