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--- |
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language: |
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- en |
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base_model: openai/wav2vec2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: BANG WAV2VEC v1 (EN) |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Radio-Modified Common Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: en |
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split: test |
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args: 'config: en, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 95.72392751479289 |
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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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# BANG WAV2VEC v1 (EN) |
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This model is a fine-tuned version of [openai/wav2vec2](https://huggingface.co/openai/wav2vec2) on the Radio-Modified Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 316.8398 |
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- Wer: 95.7239 |
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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: 1e-05 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 500 |
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- training_steps: 15000 |
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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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| 483.2584 | 2.0083 | 1000 | 434.6134 | 100.0 | |
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| 405.653 | 4.0167 | 2000 | 344.3590 | 96.6701 | |
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| 370.4857 | 6.025 | 3000 | 342.5145 | 99.8213 | |
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| 369.1107 | 9.0042 | 4000 | 327.9243 | 99.9830 | |
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| 346.2929 | 11.0125 | 5000 | 318.8220 | 99.3436 | |
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| 343.8343 | 13.0208 | 6000 | 312.6764 | 98.5592 | |
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| 341.4097 | 15.0292 | 7000 | 314.1781 | 99.1016 | |
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| 353.2187 | 18.0083 | 8000 | 337.7428 | 99.9430 | |
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| 362.3456 | 20.0167 | 9000 | 312.4731 | 97.1724 | |
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| 340.6648 | 22.025 | 10000 | 309.5160 | 96.7086 | |
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| 346.2773 | 25.0042 | 11000 | 307.8313 | 96.0953 | |
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| 324.1138 | 27.0125 | 12000 | 314.9616 | 95.1754 | |
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| 331.969 | 29.0208 | 13000 | 311.7163 | 95.5329 | |
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| 325.9136 | 31.0292 | 14000 | 315.2805 | 95.6577 | |
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| 335.0141 | 34.0083 | 15000 | 316.8398 | 95.7239 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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