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--- |
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language: |
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- tr |
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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: '' |
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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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# |
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This model is a fine-tuned version of [./checkpoint-1000](https://huggingface.co/./checkpoint-1000) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - TR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3282 |
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- Wer: 0.2836 |
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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: 0.0003 |
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- train_batch_size: 96 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 192 |
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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: 100.0 |
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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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| 1.0671 | 2.04 | 200 | 0.3079 | 0.2752 | |
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| 0.6433 | 4.08 | 400 | 0.2728 | 0.2848 | |
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| 0.5687 | 6.12 | 600 | 0.2882 | 0.3036 | |
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| 0.5355 | 8.16 | 800 | 0.2778 | 0.2920 | |
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| 0.5116 | 10.2 | 1000 | 0.2906 | 0.3014 | |
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| 0.5313 | 9.16 | 1200 | 0.2984 | 0.3273 | |
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| 0.4996 | 10.69 | 1400 | 0.3170 | 0.3344 | |
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| 0.4845 | 12.21 | 1600 | 0.3202 | 0.3634 | |
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| 0.5092 | 13.74 | 1800 | 0.3167 | 0.3373 | |
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| 0.4777 | 15.27 | 2000 | 0.3292 | 0.3386 | |
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| 0.4651 | 16.79 | 2200 | 0.3070 | 0.3427 | |
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| 0.461 | 18.32 | 2400 | 0.3149 | 0.3561 | |
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| 0.4481 | 19.85 | 2600 | 0.3292 | 0.3441 | |
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| 0.4479 | 21.37 | 2800 | 0.3142 | 0.3209 | |
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| 0.4305 | 22.9 | 3000 | 0.3525 | 0.3547 | |
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| 0.4254 | 24.43 | 3200 | 0.3414 | 0.3400 | |
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| 0.4066 | 25.95 | 3400 | 0.3118 | 0.3207 | |
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| 0.4043 | 27.48 | 3600 | 0.3418 | 0.3483 | |
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| 0.3985 | 29.01 | 3800 | 0.3254 | 0.3166 | |
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| 0.3982 | 30.53 | 4000 | 0.3306 | 0.3453 | |
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| 0.3929 | 32.06 | 4200 | 0.3262 | 0.3229 | |
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| 0.378 | 33.59 | 4400 | 0.3546 | 0.3336 | |
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| 0.4062 | 35.11 | 4600 | 0.3174 | 0.3457 | |
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| 0.3648 | 36.64 | 4800 | 0.3377 | 0.3357 | |
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| 0.3609 | 38.17 | 5000 | 0.3346 | 0.3520 | |
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| 0.3483 | 39.69 | 5200 | 0.3350 | 0.3526 | |
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| 0.3548 | 41.22 | 5400 | 0.3330 | 0.3406 | |
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| 0.3446 | 42.75 | 5600 | 0.3398 | 0.3372 | |
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| 0.3346 | 44.27 | 5800 | 0.3449 | 0.3288 | |
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| 0.3309 | 45.8 | 6000 | 0.3320 | 0.3144 | |
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| 0.326 | 47.33 | 6200 | 0.3400 | 0.3279 | |
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| 0.3189 | 48.85 | 6400 | 0.3400 | 0.3150 | |
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| 0.3165 | 50.38 | 6600 | 0.3359 | 0.2995 | |
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| 0.3132 | 51.91 | 6800 | 0.3343 | 0.3096 | |
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| 0.3092 | 53.44 | 7000 | 0.3224 | 0.3029 | |
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| 0.2995 | 54.96 | 7200 | 0.3205 | 0.2985 | |
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| 0.304 | 56.49 | 7400 | 0.3523 | 0.3034 | |
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| 0.2952 | 58.02 | 7600 | 0.3289 | 0.2934 | |
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| 0.2875 | 59.54 | 7800 | 0.3350 | 0.3008 | |
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| 0.2868 | 61.07 | 8000 | 0.3537 | 0.3227 | |
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| 0.2875 | 62.6 | 8200 | 0.3389 | 0.2970 | |
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| 0.2778 | 64.12 | 8400 | 0.3370 | 0.2960 | |
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| 0.2706 | 65.65 | 8600 | 0.3250 | 0.2802 | |
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| 0.2669 | 67.18 | 8800 | 0.3351 | 0.2903 | |
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| 0.2615 | 68.7 | 9000 | 0.3382 | 0.2989 | |
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| 0.2563 | 70.23 | 9200 | 0.3312 | 0.2975 | |
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| 0.2546 | 71.76 | 9400 | 0.3212 | 0.3003 | |
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| 0.2482 | 73.28 | 9600 | 0.3337 | 0.3091 | |
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| 0.2504 | 74.81 | 9800 | 0.3308 | 0.3110 | |
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| 0.2456 | 76.34 | 10000 | 0.3157 | 0.3118 | |
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| 0.2363 | 77.86 | 10200 | 0.3251 | 0.3144 | |
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| 0.2319 | 79.39 | 10400 | 0.3253 | 0.3038 | |
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| 0.2266 | 80.92 | 10600 | 0.3374 | 0.3038 | |
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| 0.2279 | 82.44 | 10800 | 0.3268 | 0.2964 | |
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| 0.2231 | 83.97 | 11000 | 0.3278 | 0.2950 | |
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| 0.2185 | 85.5 | 11200 | 0.3462 | 0.2981 | |
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| 0.2245 | 87.02 | 11400 | 0.3311 | 0.2895 | |
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| 0.223 | 88.55 | 11600 | 0.3325 | 0.2877 | |
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| 0.2121 | 90.08 | 11800 | 0.3337 | 0.2828 | |
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| 0.2126 | 91.6 | 12000 | 0.3325 | 0.2808 | |
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| 0.2027 | 93.13 | 12200 | 0.3277 | 0.2820 | |
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| 0.2058 | 94.66 | 12400 | 0.3308 | 0.2827 | |
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| 0.1991 | 96.18 | 12600 | 0.3279 | 0.2820 | |
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| 0.1991 | 97.71 | 12800 | 0.3300 | 0.2822 | |
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| 0.1986 | 99.24 | 13000 | 0.3285 | 0.2835 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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