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--- |
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language: |
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- ab |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_8_0 |
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- generated_from_trainer |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-abkhaz-cv8 |
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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-large-xls-r-300m-abkhaz-cv8 |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - AB dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1614 |
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- Wer: 0.2907 |
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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: 7e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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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: 4000 |
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- num_epochs: 50.0 |
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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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| 1.2881 | 4.26 | 4000 | 0.3764 | 0.6461 | |
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| 1.0767 | 8.53 | 8000 | 0.2657 | 0.5164 | |
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| 0.9841 | 12.79 | 12000 | 0.2330 | 0.4445 | |
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| 0.9274 | 17.06 | 16000 | 0.2134 | 0.3929 | |
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| 0.8781 | 21.32 | 20000 | 0.1945 | 0.3886 | |
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| 0.8381 | 25.59 | 24000 | 0.1840 | 0.3737 | |
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| 0.8054 | 29.85 | 28000 | 0.1756 | 0.3523 | |
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| 0.7763 | 34.12 | 32000 | 0.1745 | 0.3299 | |
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| 0.7474 | 38.38 | 36000 | 0.1677 | 0.3074 | |
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| 0.7298 | 42.64 | 40000 | 0.1649 | 0.2963 | |
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| 0.7125 | 46.91 | 44000 | 0.1617 | 0.2931 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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