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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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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: wav2vec2-large-xlsr-53-english-pronunciation-evaluation-aod-cut-balance |
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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-xlsr-53-english-pronunciation-evaluation-aod-cut-balance |
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0674 |
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- Accuracy: 0.6055 |
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- F1: 0.6017 |
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- Precision: 0.6074 |
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- Recall: 0.6055 |
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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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- num_epochs: 5 |
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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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| 1.0011 | 1.0 | 105 | 1.0494 | 0.5 | 0.4111 | 0.4721 | 0.5 | |
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| 0.7777 | 2.0 | 210 | 0.9454 | 0.5576 | 0.5178 | 0.5332 | 0.5576 | |
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| 0.7462 | 3.0 | 315 | 1.1190 | 0.5815 | 0.5649 | 0.5757 | 0.5815 | |
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| 0.6099 | 4.0 | 420 | 1.0299 | 0.6043 | 0.5975 | 0.5992 | 0.6043 | |
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| 0.4457 | 5.0 | 525 | 1.0674 | 0.6055 | 0.6017 | 0.6074 | 0.6055 | |
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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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