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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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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-nsc-demo-4 |
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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-nsc-demo-4 |
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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: 1.0598 |
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- Wer: 0.5177 |
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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: 5e-05 |
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- train_batch_size: 32 |
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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: 100 |
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- num_epochs: 200 |
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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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| 2.943 | 4.55 | 100 | 2.9614 | 1.0 | |
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| 2.909 | 9.09 | 200 | 2.9454 | 1.0 | |
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| 2.8673 | 13.64 | 300 | 2.9148 | 1.0 | |
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| 2.3216 | 18.18 | 400 | 1.9129 | 0.9218 | |
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| 0.8129 | 22.73 | 500 | 1.0840 | 0.6480 | |
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| 0.3488 | 27.27 | 600 | 1.0021 | 0.5721 | |
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| 0.2166 | 31.82 | 700 | 1.0291 | 0.5568 | |
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| 0.153 | 36.36 | 800 | 1.0672 | 0.5394 | |
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| 0.1186 | 40.91 | 900 | 1.0598 | 0.5177 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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