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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-base-timit-demo-colab-1 |
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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-base-timit-demo-colab-1 |
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This model is a fine-tuned version of [zasheza/wav2vec2-base-timit-demo-colab-1](https://huggingface.co/zasheza/wav2vec2-base-timit-demo-colab-1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8811 |
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- Wer: 0.4169 |
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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: 6 |
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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: 800 |
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- num_epochs: 40 |
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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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| 0.161 | 5.26 | 500 | 0.7465 | 0.4496 | |
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| 0.1852 | 10.53 | 1000 | 0.8108 | 0.4739 | |
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| 0.1457 | 15.79 | 1500 | 0.9073 | 0.4600 | |
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| 0.1073 | 21.05 | 2000 | 0.8817 | 0.4486 | |
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| 0.085 | 26.32 | 2500 | 0.9262 | 0.4442 | |
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| 0.0753 | 31.58 | 3000 | 0.8838 | 0.4337 | |
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| 0.0647 | 36.84 | 3500 | 0.8811 | 0.4169 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.10.3 |
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