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--- |
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license: apache-2.0 |
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base_model: jmaczan/wav2vec2-large-xls-r-300m-dysarthria-big-dataset |
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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-xls-r-300m-dysarthria-big-dataset |
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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-xls-r-300m-dysarthria-big-dataset |
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This model is a fine-tuned version of [jmaczan/wav2vec2-large-xls-r-300m-dysarthria-big-dataset](https://huggingface.co/jmaczan/wav2vec2-large-xls-r-300m-dysarthria-big-dataset) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0864 |
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- Wer: 0.182 |
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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: 500 |
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- num_epochs: 30 |
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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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| 1.419 | 3.2 | 200 | 0.7599 | 0.668 | |
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| 0.7759 | 6.4 | 400 | 0.4966 | 0.618 | |
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| 0.5808 | 9.6 | 600 | 0.3352 | 0.508 | |
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| 0.3652 | 12.8 | 800 | 0.2214 | 0.386 | |
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| 0.2347 | 16.0 | 1000 | 0.1566 | 0.246 | |
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| 0.1738 | 19.2 | 1200 | 0.1340 | 0.23 | |
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| 0.1076 | 22.4 | 1400 | 0.1244 | 0.242 | |
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| 0.077 | 25.6 | 1600 | 0.0948 | 0.184 | |
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| 0.0566 | 28.8 | 1800 | 0.0864 | 0.182 | |
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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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