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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- vivos |
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metrics: |
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- wer |
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model-index: |
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- name: working |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: vivos |
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type: vivos |
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config: default |
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split: None |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.19310434387377443 |
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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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# working |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the vivos dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2735 |
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- Wer: 0.1931 |
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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: 32 |
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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_steps: 500 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 5.8333 | 1.0274 | 300 | 3.7834 | 1.0 | |
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| 2.3412 | 2.0548 | 600 | 0.8215 | 0.5481 | |
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| 0.6754 | 3.0822 | 900 | 0.4963 | 0.3560 | |
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| 0.4809 | 4.1096 | 1200 | 0.3978 | 0.2980 | |
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| 0.395 | 5.1370 | 1500 | 0.3535 | 0.2613 | |
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| 0.3453 | 6.1644 | 1800 | 0.3192 | 0.2318 | |
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| 0.3024 | 7.1918 | 2100 | 0.2948 | 0.2166 | |
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| 0.2683 | 8.2192 | 2400 | 0.2844 | 0.2043 | |
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| 0.2468 | 9.2466 | 2700 | 0.2785 | 0.1947 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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