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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large-960h-lv60-self |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-960h-lv60-self-dysarthria |
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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-960h-lv60-self-dysarthria |
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This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2385 |
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- Wer: 1.0 |
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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: 16 |
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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: 32 |
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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: 100 |
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- num_epochs: 30 |
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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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| 20.9703 | 3.2 | 200 | 3.5607 | 1.0 | |
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| 3.4216 | 6.4 | 400 | 3.3741 | 1.0 | |
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| 3.3062 | 9.6 | 600 | 3.1419 | 1.0 | |
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| 2.994 | 12.8 | 800 | 2.6835 | 1.0 | |
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| 2.7361 | 16.0 | 1000 | 2.4129 | 1.0 | |
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| 2.6005 | 19.2 | 1200 | 2.2973 | 1.0 | |
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| 2.5724 | 22.4 | 1400 | 2.2520 | 1.0 | |
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| 2.619 | 25.6 | 1600 | 2.2435 | 1.0 | |
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| 2.5278 | 28.8 | 1800 | 2.2385 | 1.0 | |
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### Framework versions |
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- Transformers 4.43.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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