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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: facebook/wav2vec2-large-xlsr-53 |
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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 [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: 0.6025 |
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- Wer: 0.4421 |
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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: 30 |
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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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| 2.8753 | 3.05 | 500 | 2.1566 | 0.9599 | |
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| 1.3505 | 6.1 | 1000 | 0.7121 | 0.6287 | |
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| 0.7278 | 9.15 | 1500 | 0.5651 | 0.5202 | |
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| 0.5178 | 12.2 | 2000 | 0.5785 | 0.4942 | |
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| 0.3887 | 15.24 | 2500 | 0.5684 | 0.4723 | |
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| 0.3194 | 18.29 | 3000 | 0.5718 | 0.4635 | |
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| 0.2873 | 21.34 | 3500 | 0.5871 | 0.4552 | |
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| 0.24 | 24.39 | 4000 | 0.6020 | 0.4501 | |
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| 0.2151 | 27.44 | 4500 | 0.6025 | 0.4421 | |
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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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