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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large-xlsr-53 |
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tags: |
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- generated_from_trainer |
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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: 0.6101 |
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- Wer: 0.4467 |
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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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| 8.1339 | 3.01 | 500 | 3.1361 | 1.0 | |
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| 3.0216 | 6.02 | 1000 | 2.9545 | 1.0 | |
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| 1.7429 | 9.04 | 1500 | 0.7389 | 0.6513 | |
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| 0.7297 | 12.05 | 2000 | 0.5833 | 0.5363 | |
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| 0.5267 | 15.06 | 2500 | 0.5673 | 0.4910 | |
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| 0.3983 | 18.07 | 3000 | 0.5837 | 0.4715 | |
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| 0.333 | 21.08 | 3500 | 0.6013 | 0.4625 | |
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| 0.2918 | 24.1 | 4000 | 0.6154 | 0.4526 | |
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| 0.2635 | 27.11 | 4500 | 0.6101 | 0.4467 | |
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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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