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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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base_model: paruwka/wav2vec2-base-timit-demo-google-colab |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-base-timit-demo-google-colab |
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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-google-colab |
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This model is a fine-tuned version of [paruwka/wav2vec2-base-timit-demo-google-colab](https://huggingface.co/paruwka/wav2vec2-base-timit-demo-google-colab) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0015 |
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- Wer: 0.5828 |
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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: 3e-05 |
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- train_batch_size: 4 |
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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: 500 |
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- num_epochs: 50 |
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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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| 0.4127 | 4.46 | 500 | 0.8997 | 0.6221 | |
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| 0.38 | 8.93 | 1000 | 0.9162 | 0.6091 | |
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| 0.3382 | 13.39 | 1500 | 0.9044 | 0.6011 | |
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| 0.3074 | 17.86 | 2000 | 0.9529 | 0.6030 | |
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| 0.274 | 22.32 | 2500 | 0.9327 | 0.5919 | |
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| 0.2558 | 26.79 | 3000 | 0.9906 | 0.5895 | |
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| 0.2462 | 31.25 | 3500 | 0.9873 | 0.5854 | |
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| 0.2215 | 35.71 | 4000 | 1.0059 | 0.5839 | |
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| 0.2313 | 40.18 | 4500 | 1.0142 | 0.5823 | |
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| 0.2182 | 44.64 | 5000 | 0.9998 | 0.5804 | |
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| 0.2123 | 49.11 | 5500 | 1.0015 | 0.5828 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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