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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- common_voice
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model-index:
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- name: common6
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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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# common6
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This model was trained from scratch on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3502
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- Wer: 0.3550
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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: 6e-05
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- train_batch_size: 32
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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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: 100
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- num_epochs: 100.0
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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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| 1.0344 | 10.0 | 500 | 0.4043 | 0.4511 |
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| 0.9651 | 20.0 | 1000 | 0.3793 | 0.4159 |
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| 0.9125 | 30.0 | 1500 | 0.3756 | 0.4046 |
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| 0.8831 | 40.0 | 2000 | 0.3650 | 0.3876 |
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| 0.8399 | 50.0 | 2500 | 0.3605 | 0.3772 |
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| 0.819 | 60.0 | 3000 | 0.3622 | 0.3714 |
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| 0.8029 | 70.0 | 3500 | 0.3561 | 0.3664 |
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| 0.8045 | 80.0 | 4000 | 0.3607 | 0.3621 |
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| 0.7799 | 90.0 | 4500 | 0.3501 | 0.3561 |
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| 0.7769 | 100.0 | 5000 | 0.3502 | 0.3550 |
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.2
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- Datasets 1.18.3.dev0
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- Tokenizers 0.10.3
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