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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-sanitycheck
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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-sanitycheck
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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: 0.0092
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- Accuracy: 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: 0.0001
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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: 12
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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 | 1.14 | 8 | 0.8034 | 0.4737 |
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| No log | 2.29 | 16 | 0.6803 | 0.5263 |
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| No log | 3.43 | 24 | 0.4867 | 1.0 |
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| 0.5907 | 4.57 | 32 | 0.1781 | 0.9474 |
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| 0.5907 | 5.71 | 40 | 0.2168 | 0.9474 |
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| 0.5907 | 6.86 | 48 | 0.2403 | 0.9474 |
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| 0.5907 | 8.0 | 56 | 0.0143 | 1.0 |
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| 0.0932 | 9.14 | 64 | 0.0124 | 1.0 |
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| 0.0932 | 10.29 | 72 | 0.0089 | 1.0 |
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| 0.0932 | 11.43 | 80 | 0.0092 | 1.0 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.0+cu111
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- Datasets 1.17.0
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- Tokenizers 0.10.3
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