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update model card README.md
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README.md
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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: 0.5208
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- Accuracy: 0.7292
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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 | 0.6848 | 0.5833 |
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| No log | 4.83 | 68 | 0.6879 | 0.5833 |
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| No log | 7.28 | 102 | 0.6892 | 0.6042 |
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| 0.7202 | 9.69 | 136 | 0.6809 | 0.5833 |
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| 0.7202 | 12.14 | 170 | 0.6712 | 0.6042 |
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| 0.7202 | 14.55 | 204 | 0.5907 | 0.7708 |
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| 0.6991 | 16.97 | 238 | 0.7485 | 0.6875 |
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| 0.6991 | 19.41 | 272 | 0.5756 | 0.7083 |
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| 0.6991 | 21.83 | 306 | 0.5208 | 0.7292 |
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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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