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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: dys_asr_960h
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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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# dys_asr_960h
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This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0138
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- Wer: 0.9938
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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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- 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: 7
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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 | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 10.1488 | 1.36 | 500 | 2.5860 | 1.0 |
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| 2.0724 | 2.72 | 1000 | 0.6709 | 1.7570 |
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| 0.5022 | 4.09 | 1500 | 0.0526 | 1.0312 |
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| 0.1676 | 5.45 | 2000 | 0.0163 | 0.9969 |
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| 0.0945 | 6.81 | 2500 | 0.0138 | 0.9938 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.13.1+cu116
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- Datasets 1.18.3
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- Tokenizers 0.13.2
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