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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-colab66 |
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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-colab66 |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2675 |
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- Wer: 1.0 |
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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: 60 |
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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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| 5.3521 | 7.04 | 500 | 3.3666 | 1.0 | |
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| 3.1768 | 14.08 | 1000 | 3.3977 | 1.0 | |
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| 3.1576 | 21.13 | 1500 | 3.2332 | 1.0 | |
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| 3.1509 | 28.17 | 2000 | 3.2686 | 1.0 | |
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| 3.149 | 35.21 | 2500 | 3.2550 | 1.0 | |
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| 3.1478 | 42.25 | 3000 | 3.2689 | 1.0 | |
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| 3.1444 | 49.3 | 3500 | 3.2848 | 1.0 | |
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| 3.1442 | 56.34 | 4000 | 3.2675 | 1.0 | |
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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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