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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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model-index: |
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- name: wav2vec2-large-xls-r-300m-dm32 |
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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-dm32 |
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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: 0.5688 |
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- Accuracy: 0.7917 |
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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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- gradient_accumulation_steps: 2 |
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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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| No log | 2.41 | 34 | 0.6769 | 0.6458 | |
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| No log | 4.83 | 68 | 0.6864 | 0.5208 | |
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| No log | 7.28 | 102 | 0.6596 | 0.6042 | |
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| 0.7106 | 9.69 | 136 | 0.6208 | 0.6875 | |
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| 0.7106 | 12.14 | 170 | 0.6152 | 0.6875 | |
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| 0.7106 | 14.55 | 204 | 0.6167 | 0.6875 | |
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| 0.6464 | 16.97 | 238 | 0.5782 | 0.7708 | |
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| 0.6464 | 19.41 | 272 | 0.6011 | 0.7292 | |
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| 0.6464 | 21.83 | 306 | 0.5688 | 0.7917 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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