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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_6_1 |
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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-odia |
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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_6_1 |
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type: common_voice_6_1 |
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config: or |
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split: test |
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args: or |
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metrics: |
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- name: Wer |
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type: wer |
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value: 1.0526315789473684 |
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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-odia |
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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_6_1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2591 |
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- Wer: 1.0526 |
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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: 12 |
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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: 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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| 20.1037 | 0.23 | 10 | 20.9125 | 1.0 | |
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| 17.8006 | 0.45 | 20 | 15.9823 | 1.0 | |
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| 12.0829 | 0.68 | 30 | 9.3068 | 1.0 | |
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| 5.2122 | 0.91 | 40 | 3.6577 | 1.0012 | |
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| 2.8945 | 1.14 | 50 | 1.9252 | 1.2448 | |
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| 1.2442 | 1.36 | 60 | 0.7219 | 1.0220 | |
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| 0.5149 | 1.59 | 70 | 0.3858 | 1.0122 | |
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| 0.3685 | 1.82 | 80 | 0.3202 | 1.0147 | |
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| 0.3529 | 2.05 | 90 | 0.3093 | 1.0147 | |
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| 0.2863 | 2.27 | 100 | 0.3130 | 1.0135 | |
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| 0.2643 | 2.5 | 110 | 0.3145 | 1.0098 | |
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| 0.2518 | 2.73 | 120 | 0.2861 | 1.0588 | |
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| 0.2783 | 2.95 | 130 | 0.2668 | 1.0649 | |
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| 0.2586 | 3.18 | 140 | 0.2714 | 1.0355 | |
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| 0.243 | 3.41 | 150 | 0.2631 | 1.0453 | |
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| 0.2261 | 3.64 | 160 | 0.2642 | 1.0367 | |
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| 0.2365 | 3.86 | 170 | 0.2591 | 1.0526 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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