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--- |
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language: |
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- ml |
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license: cc-by-nc-4.0 |
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base_model: facebook/mms-1b-all |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_16_0 |
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- mms |
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- generated_from_trainer |
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datasets: |
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- common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: breeze-listen-w2v2-ml |
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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: MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - ML |
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type: common_voice_16_0 |
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config: ml |
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split: test |
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args: 'Config: ml, Training split: train+validation, Eval split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.5348997926744989 |
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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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# breeze-listen-w2v2-ml |
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the MOZILLA-FOUNDATION/COMMON_VOICE_16_0 - ML dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2666 |
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- Wer: 0.5349 |
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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: 0.001 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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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: 4.0 |
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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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| No log | 0.41 | 200 | 5.4728 | 1.0757 | |
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| No log | 0.81 | 400 | 5.1274 | 1.0038 | |
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| 6.5037 | 1.22 | 600 | 0.6167 | 0.8131 | |
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| 6.5037 | 1.63 | 800 | 0.3284 | 0.5829 | |
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| 1.0482 | 2.03 | 1000 | 0.3169 | 0.5667 | |
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| 1.0482 | 2.44 | 1200 | 0.2876 | 0.5425 | |
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| 1.0482 | 2.85 | 1400 | 0.2847 | 0.5522 | |
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| 0.4314 | 3.25 | 1600 | 0.2746 | 0.5394 | |
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| 0.4314 | 3.66 | 1800 | 0.2698 | 0.5346 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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