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update model card README.md
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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-large-xls-r-300m-dementianet
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results: []
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# wav2vec2-large-xls-r-300m-dementianet
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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## Model description
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- total_train_batch_size: 16
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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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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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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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model-index:
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- name: wav2vec2-large-xls-r-300m-dementianet
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results: []
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# wav2vec2-large-xls-r-300m-dementianet
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3430
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- Accuracy: 0.4062
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## Model description
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- total_train_batch_size: 16
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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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- num_epochs: 22
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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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.3845 | 3.33 | 40 | 1.3556 | 0.3125 |
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| 1.3659 | 6.67 | 80 | 1.3602 | 0.3125 |
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| 1.3619 | 10.0 | 120 | 1.3569 | 0.3125 |
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| 1.3575 | 13.33 | 160 | 1.3509 | 0.3125 |
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| 1.3356 | 16.67 | 200 | 1.3599 | 0.3125 |
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| 1.3166 | 20.0 | 240 | 1.3430 | 0.4062 |
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### Framework versions
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