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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base-960h |
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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-3 |
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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-3 |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4681 |
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- Wer: 0.1933 |
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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: 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: 30 |
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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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| 0.6872 | 2.27 | 50 | 0.3920 | 0.2365 | |
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| 0.3487 | 4.55 | 100 | 0.3700 | 0.2129 | |
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| 0.2121 | 6.82 | 150 | 0.4308 | 0.2202 | |
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| 0.1737 | 9.09 | 200 | 0.4114 | 0.2051 | |
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| 0.1378 | 11.36 | 250 | 0.4674 | 0.2084 | |
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| 0.114 | 13.64 | 300 | 0.4989 | 0.2162 | |
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| 0.0885 | 15.91 | 350 | 0.4914 | 0.1998 | |
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| 0.097 | 18.18 | 400 | 0.4597 | 0.1986 | |
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| 0.0694 | 20.45 | 450 | 0.4933 | 0.1996 | |
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| 0.0747 | 22.73 | 500 | 0.4690 | 0.1963 | |
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| 0.0792 | 25.0 | 550 | 0.4619 | 0.1963 | |
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| 0.0646 | 27.27 | 600 | 0.4691 | 0.1951 | |
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| 0.0604 | 29.55 | 650 | 0.4681 | 0.1933 | |
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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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