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--- |
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library_name: transformers |
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language: |
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- bem |
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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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- BIG_C/Bemba |
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metrics: |
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- wer |
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model-index: |
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- name: facebook/mms-1b-all |
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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: BIG_C |
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type: BIG_C/Bemba |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.4668925293764474 |
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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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# facebook/mms-1b-all |
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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 BIG_C dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4083 |
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- Model Preparation Time: 0.011 |
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- Wer: 0.4669 |
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- Cer: 0.0879 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 100 |
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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 | Model Preparation Time | Wer | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:------:|:------:| |
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| 2.6526 | 1.0 | 310 | 0.6127 | 0.011 | 0.5519 | 0.1287 | |
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| 0.7346 | 2.0 | 620 | 0.5850 | 0.011 | 0.5399 | 0.1242 | |
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| 0.7091 | 3.0 | 930 | 0.5726 | 0.011 | 0.5136 | 0.1200 | |
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| 0.6967 | 4.0 | 1240 | 0.5618 | 0.011 | 0.5028 | 0.1189 | |
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| 0.6769 | 5.0 | 1550 | 0.5520 | 0.011 | 0.4967 | 0.1176 | |
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| 0.6626 | 6.0 | 1860 | 0.5432 | 0.011 | 0.4935 | 0.1158 | |
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| 0.6428 | 7.0 | 2170 | 0.5231 | 0.011 | 0.4930 | 0.1178 | |
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| 0.6229 | 8.0 | 2480 | 0.5320 | 0.011 | 0.4798 | 0.1134 | |
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| 0.6081 | 9.0 | 2790 | 0.5168 | 0.011 | 0.4842 | 0.1155 | |
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| 0.5939 | 10.0 | 3100 | 0.5067 | 0.011 | 0.4835 | 0.1171 | |
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| 0.5807 | 11.0 | 3410 | 0.5217 | 0.011 | 0.4682 | 0.1106 | |
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| 0.5705 | 12.0 | 3720 | 0.5030 | 0.011 | 0.4797 | 0.1172 | |
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| 0.5584 | 13.0 | 4030 | 0.4976 | 0.011 | 0.4689 | 0.1108 | |
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| 0.5512 | 14.0 | 4340 | 0.4981 | 0.011 | 0.4766 | 0.1188 | |
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| 0.5444 | 15.0 | 4650 | 0.5096 | 0.011 | 0.4594 | 0.1090 | |
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| 0.5333 | 16.0 | 4960 | 0.4995 | 0.011 | 0.4641 | 0.1111 | |
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| 0.5204 | 17.0 | 5270 | 0.5116 | 0.011 | 0.4555 | 0.1086 | |
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| 0.513 | 18.0 | 5580 | 0.4998 | 0.011 | 0.4590 | 0.1121 | |
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| 0.5049 | 19.0 | 5890 | 0.4997 | 0.011 | 0.4557 | 0.1109 | |
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| 0.5011 | 20.0 | 6200 | 0.4960 | 0.011 | 0.4718 | 0.1198 | |
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| 0.4888 | 21.0 | 6510 | 0.5026 | 0.011 | 0.4579 | 0.1126 | |
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| 0.491 | 22.0 | 6820 | 0.5145 | 0.011 | 0.4474 | 0.1071 | |
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| 0.4804 | 23.0 | 7130 | 0.5026 | 0.011 | 0.4510 | 0.1053 | |
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| 0.4727 | 24.0 | 7440 | 0.5218 | 0.011 | 0.4416 | 0.1052 | |
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| 0.4666 | 25.0 | 7750 | 0.4990 | 0.011 | 0.4593 | 0.1148 | |
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| 0.4614 | 26.0 | 8060 | 0.5103 | 0.011 | 0.4446 | 0.1053 | |
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| 0.4546 | 27.0 | 8370 | 0.5019 | 0.011 | 0.4479 | 0.1086 | |
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| 0.45 | 28.0 | 8680 | 0.4946 | 0.011 | 0.4485 | 0.1086 | |
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| 0.4443 | 29.0 | 8990 | 0.4997 | 0.011 | 0.4389 | 0.1051 | |
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| 0.4369 | 30.0 | 9300 | 0.5063 | 0.011 | 0.4376 | 0.1045 | |
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| 0.4302 | 31.0 | 9610 | 0.5071 | 0.011 | 0.4448 | 0.1062 | |
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| 0.4227 | 32.0 | 9920 | 0.5074 | 0.011 | 0.4435 | 0.1096 | |
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| 0.4226 | 33.0 | 10230 | 0.5092 | 0.011 | 0.4477 | 0.1110 | |
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| 0.4191 | 34.0 | 10540 | 0.5107 | 0.011 | 0.4519 | 0.1109 | |
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| 0.4128 | 35.0 | 10850 | 0.5162 | 0.011 | 0.4412 | 0.1068 | |
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| 0.408 | 36.0 | 11160 | 0.5201 | 0.011 | 0.4388 | 0.1074 | |
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| 0.4022 | 37.0 | 11470 | 0.5138 | 0.011 | 0.4436 | 0.1088 | |
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| 0.3979 | 38.0 | 11780 | 0.5331 | 0.011 | 0.4386 | 0.1062 | |
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| 0.3937 | 39.0 | 12090 | 0.5225 | 0.011 | 0.4446 | 0.1124 | |
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| 0.3905 | 40.0 | 12400 | 0.5200 | 0.011 | 0.4355 | 0.1065 | |
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| 0.3846 | 41.0 | 12710 | 0.5115 | 0.011 | 0.4394 | 0.1092 | |
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| 0.3827 | 42.0 | 13020 | 0.5169 | 0.011 | 0.4458 | 0.1131 | |
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| 0.3797 | 43.0 | 13330 | 0.5237 | 0.011 | 0.4387 | 0.1088 | |
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| 0.3729 | 44.0 | 13640 | 0.5431 | 0.011 | 0.4318 | 0.1057 | |
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| 0.3694 | 45.0 | 13950 | 0.5375 | 0.011 | 0.4318 | 0.1060 | |
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| 0.3656 | 46.0 | 14260 | 0.5301 | 0.011 | 0.4409 | 0.1099 | |
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| 0.3618 | 47.0 | 14570 | 0.5422 | 0.011 | 0.4460 | 0.1146 | |
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| 0.3572 | 48.0 | 14880 | 0.5404 | 0.011 | 0.4395 | 0.1084 | |
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| 0.3523 | 49.0 | 15190 | 0.5442 | 0.011 | 0.4421 | 0.1112 | |
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| 0.3514 | 50.0 | 15500 | 0.5561 | 0.011 | 0.4345 | 0.1072 | |
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| 0.3473 | 51.0 | 15810 | 0.5549 | 0.011 | 0.4393 | 0.1113 | |
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| 0.3443 | 52.0 | 16120 | 0.5469 | 0.011 | 0.4424 | 0.1127 | |
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| 0.3412 | 53.0 | 16430 | 0.5624 | 0.011 | 0.4529 | 0.1165 | |
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| 0.3343 | 54.0 | 16740 | 0.5548 | 0.011 | 0.4491 | 0.1143 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.1 |
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