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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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tags: |
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- generated_from_trainer |
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datasets: |
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- audiofolder |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-mms-1b-all-swc-kat6 |
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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: audiofolder |
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type: audiofolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.37098445595854923 |
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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-mms-1b-all-swc-kat6 |
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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 audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: inf |
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- Wer: 0.3710 |
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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: 1 |
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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: 400 |
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- num_epochs: 4 |
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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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| 2.8349 | 0.07 | 400 | inf | 0.4899 | |
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| 0.8039 | 0.15 | 800 | inf | 0.4912 | |
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| 0.7335 | 0.22 | 1200 | inf | 0.4482 | |
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| 0.8395 | 0.3 | 1600 | inf | 0.4829 | |
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| 0.7626 | 0.37 | 2000 | inf | 0.4635 | |
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| 0.9035 | 0.44 | 2400 | inf | 0.4391 | |
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| 0.6281 | 0.52 | 2800 | inf | 0.4668 | |
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| 0.6756 | 0.59 | 3200 | inf | 0.4254 | |
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| 0.7866 | 0.67 | 3600 | inf | 0.4168 | |
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| 0.7413 | 0.74 | 4000 | inf | 0.4168 | |
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| 0.749 | 0.81 | 4400 | inf | 0.4148 | |
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| 0.8165 | 0.89 | 4800 | inf | 0.4241 | |
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| 0.7302 | 0.96 | 5200 | inf | 0.4124 | |
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| 0.7376 | 1.04 | 5600 | inf | 0.4368 | |
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| 0.6833 | 1.11 | 6000 | inf | 0.3953 | |
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| 0.6463 | 1.19 | 6400 | inf | 0.4363 | |
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| 0.7236 | 1.26 | 6800 | inf | 0.4383 | |
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| 0.8837 | 1.33 | 7200 | inf | 0.4811 | |
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| 0.6854 | 1.41 | 7600 | inf | 0.3930 | |
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| 0.6985 | 1.48 | 8000 | inf | 0.3979 | |
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| 0.7139 | 1.56 | 8400 | inf | 0.3977 | |
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| 0.6338 | 1.63 | 8800 | inf | 0.4039 | |
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| 0.7227 | 1.7 | 9200 | inf | 0.3922 | |
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| 0.6843 | 1.78 | 9600 | inf | 0.4111 | |
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| 0.6948 | 1.85 | 10000 | inf | 0.4093 | |
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| 0.6867 | 1.93 | 10400 | inf | 0.3927 | |
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| 0.5753 | 2.0 | 10800 | inf | 0.4080 | |
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| 0.6865 | 2.07 | 11200 | inf | 0.3938 | |
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| 0.6155 | 2.15 | 11600 | inf | 0.3920 | |
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| 0.6743 | 2.22 | 12000 | inf | 0.3977 | |
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| 0.5801 | 2.3 | 12400 | inf | 0.3801 | |
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| 0.8216 | 2.37 | 12800 | inf | 0.3917 | |
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| 0.6199 | 2.44 | 13200 | inf | 0.4052 | |
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| 0.6268 | 2.52 | 13600 | inf | 0.3811 | |
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| 0.6505 | 2.59 | 14000 | inf | 0.3855 | |
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| 0.6578 | 2.67 | 14400 | inf | 0.3933 | |
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| 0.6442 | 2.74 | 14800 | inf | 0.3868 | |
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| 0.5904 | 2.81 | 15200 | inf | 0.3782 | |
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| 0.6249 | 2.89 | 15600 | inf | 0.3788 | |
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| 0.5879 | 2.96 | 16000 | inf | 0.3904 | |
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| 0.4844 | 3.04 | 16400 | inf | 0.3728 | |
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| 0.6309 | 3.11 | 16800 | inf | 0.3687 | |
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| 0.5825 | 3.19 | 17200 | inf | 0.3663 | |
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| 0.7171 | 3.26 | 17600 | inf | 0.3772 | |
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| 0.5471 | 3.33 | 18000 | inf | 0.3718 | |
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| 0.5029 | 3.41 | 18400 | inf | 0.3756 | |
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| 0.5605 | 3.48 | 18800 | inf | 0.3751 | |
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| 0.5582 | 3.56 | 19200 | inf | 0.3728 | |
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| 0.6358 | 3.63 | 19600 | inf | 0.3712 | |
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| 0.4977 | 3.7 | 20000 | inf | 0.3655 | |
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| 0.4828 | 3.78 | 20400 | inf | 0.3671 | |
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| 0.6554 | 3.85 | 20800 | inf | 0.3689 | |
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| 0.561 | 3.93 | 21200 | inf | 0.3702 | |
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| 0.5515 | 4.0 | 21600 | inf | 0.3710 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.12.1 |
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