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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/mms-1b-all |
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inference: false |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_15_0 |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-mms-1b-azerbaijani-common_voice15.0 |
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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: common_voice_15_0 |
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type: common_voice_15_0 |
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config: az |
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split: test |
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args: az |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.2631578947368421 |
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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-large-mms-1b-azerbaijani-common_voice15.0 |
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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 common_voice_15_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3188 |
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- Wer: 0.2632 |
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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: 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: 100 |
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- num_epochs: 15 |
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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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| 7.6471 | 2.0 | 10 | 7.6790 | 1.0658 | |
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| 5.6745 | 4.0 | 20 | 4.2727 | 1.0088 | |
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| 3.5016 | 6.0 | 30 | 3.1003 | 1.0 | |
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| 2.6223 | 8.0 | 40 | 1.8137 | 1.0439 | |
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| 1.3939 | 10.0 | 50 | 0.6549 | 0.3947 | |
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| 0.3696 | 12.0 | 60 | 0.3665 | 0.2719 | |
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| 0.2475 | 14.0 | 70 | 0.3188 | 0.2632 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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