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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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model-index:
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- name: wav2vec2-large-xlsr-53_toy_train_data_random_low_pass
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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-xlsr-53_toy_train_data_random_low_pass
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6572
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- Wer: 0.4973
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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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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 20
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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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| 3.0834 | 2.1 | 500 | 3.4478 | 1.0 |
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| 1.0735 | 4.2 | 1000 | 0.9113 | 0.7815 |
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| 0.5516 | 6.3 | 1500 | 0.7035 | 0.6081 |
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| 0.4023 | 8.4 | 2000 | 0.6647 | 0.5649 |
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| 0.3423 | 10.5 | 2500 | 0.6613 | 0.5450 |
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| 0.2938 | 12.6 | 3000 | 0.6967 | 0.5318 |
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| 0.2902 | 14.7 | 3500 | 0.6430 | 0.5089 |
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| 0.2372 | 16.81 | 4000 | 0.6653 | 0.5045 |
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| 0.2148 | 18.91 | 4500 | 0.6572 | 0.4973 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.11.0+cu102
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- Datasets 2.0.0
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- Tokenizers 0.12.0
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