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--- |
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language: |
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- hi |
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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: wav2vec2-common_voice-hi-mms-demo |
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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 - HI |
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type: common_voice_16_0 |
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config: hi |
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split: test |
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args: 'Config: hi, 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: 0.2516432655283731 |
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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-common_voice-hi-mms-demo |
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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 - HI dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2672 |
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- Wer: 0.2516 |
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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: 8 |
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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: 4.0 |
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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 | 0.11 | 100 | 0.4487 | 0.3565 | |
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| No log | 0.23 | 200 | 0.3544 | 0.3317 | |
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| No log | 0.34 | 300 | 0.3693 | 0.3088 | |
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| No log | 0.45 | 400 | 0.3404 | 0.3040 | |
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| 1.5084 | 0.56 | 500 | 0.3346 | 0.2995 | |
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| 1.5084 | 0.68 | 600 | 0.3411 | 0.2936 | |
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| 1.5084 | 0.79 | 700 | 0.3175 | 0.2887 | |
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| 1.5084 | 0.9 | 800 | 0.3159 | 0.2898 | |
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| 1.5084 | 1.02 | 900 | 0.3139 | 0.3045 | |
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| 0.3485 | 1.13 | 1000 | 0.3067 | 0.2958 | |
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| 0.3485 | 1.24 | 1100 | 0.2969 | 0.2767 | |
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| 0.3485 | 1.35 | 1200 | 0.2916 | 0.2714 | |
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| 0.3485 | 1.47 | 1300 | 0.2893 | 0.2663 | |
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| 0.3485 | 1.58 | 1400 | 0.3183 | 0.2985 | |
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| 0.3152 | 1.69 | 1500 | 0.2961 | 0.2688 | |
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| 0.3152 | 1.81 | 1600 | 0.2848 | 0.2665 | |
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| 0.3152 | 1.92 | 1700 | 0.2844 | 0.2656 | |
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| 0.3152 | 2.03 | 1800 | 0.2855 | 0.2707 | |
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| 0.3152 | 2.14 | 1900 | 0.2887 | 0.2686 | |
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| 0.3058 | 2.26 | 2000 | 0.2858 | 0.2657 | |
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| 0.3058 | 2.37 | 2100 | 0.2814 | 0.2629 | |
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| 0.3058 | 2.48 | 2200 | 0.2809 | 0.2633 | |
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| 0.3058 | 2.6 | 2300 | 0.2779 | 0.2613 | |
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| 0.3058 | 2.71 | 2400 | 0.2745 | 0.2581 | |
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| 0.2861 | 2.82 | 2500 | 0.2769 | 0.2618 | |
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| 0.2861 | 2.93 | 2600 | 0.2742 | 0.2576 | |
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| 0.2861 | 3.05 | 2700 | 0.2730 | 0.2575 | |
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| 0.2861 | 3.16 | 2800 | 0.2727 | 0.2564 | |
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| 0.2861 | 3.27 | 2900 | 0.2726 | 0.2563 | |
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| 0.2839 | 3.39 | 3000 | 0.2713 | 0.2576 | |
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| 0.2839 | 3.5 | 3100 | 0.2690 | 0.2537 | |
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| 0.2839 | 3.61 | 3200 | 0.2706 | 0.2540 | |
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| 0.2839 | 3.72 | 3300 | 0.2687 | 0.2542 | |
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| 0.2839 | 3.84 | 3400 | 0.2671 | 0.2521 | |
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| 0.2706 | 3.95 | 3500 | 0.2673 | 0.2522 | |
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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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