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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-960h-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-960h-demo-google-colab |
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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: 0.1495 |
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- Wer: 0.1503 |
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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: 16 |
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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: 5 |
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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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| 6.7708 | 0.42 | 200 | 3.3194 | 0.9999 | |
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| 3.0354 | 0.84 | 400 | 3.1933 | 0.9999 | |
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| 2.796 | 1.26 | 600 | 1.4082 | 0.7669 | |
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| 1.0912 | 1.68 | 800 | 0.8231 | 0.3675 | |
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| 0.6568 | 2.1 | 1000 | 0.3944 | 0.2863 | |
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| 0.4604 | 2.52 | 1200 | 0.3303 | 0.2421 | |
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| 0.3932 | 2.94 | 1400 | 0.2730 | 0.2103 | |
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| 0.3356 | 3.35 | 1600 | 0.2189 | 0.1789 | |
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| 0.3117 | 3.77 | 1800 | 0.2189 | 0.1688 | |
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| 0.2332 | 4.19 | 2000 | 0.1802 | 0.1563 | |
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| 0.2283 | 4.61 | 2200 | 0.1495 | 0.1503 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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