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--- |
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language: |
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- id |
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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: breeze-listen-w2v2-id |
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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 - ID |
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type: common_voice_16_0 |
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config: id |
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split: test |
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args: 'Config: id, 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: 0.145808188654721 |
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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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# breeze-listen-w2v2-id |
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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 - ID dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1253 |
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- Wer: 0.1458 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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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 | 0.1 | 200 | 3.2671 | 1.0 | |
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| No log | 0.19 | 400 | 2.8741 | 1.0007 | |
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| 3.8381 | 0.29 | 600 | 2.7612 | 0.9955 | |
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| 3.8381 | 0.38 | 800 | 2.6333 | 0.9981 | |
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| 2.6996 | 0.48 | 1000 | 2.3074 | 0.9771 | |
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| 2.6996 | 0.58 | 1200 | 2.0155 | 0.9286 | |
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| 2.6996 | 0.67 | 1400 | 1.9155 | 0.8947 | |
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| 2.2919 | 0.77 | 1600 | 1.6412 | 0.8814 | |
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| 2.2919 | 0.87 | 1800 | 1.4531 | 0.8285 | |
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| 1.5872 | 0.96 | 2000 | 0.1813 | 0.2060 | |
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| 1.5872 | 1.06 | 2200 | 0.1636 | 0.1806 | |
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| 1.5872 | 1.15 | 2400 | 0.1558 | 0.1744 | |
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| 0.2659 | 1.25 | 2600 | 0.1522 | 0.1647 | |
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| 0.2659 | 1.35 | 2800 | 0.1553 | 0.1664 | |
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| 0.2436 | 1.44 | 3000 | 0.1841 | 0.1961 | |
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| 0.2436 | 1.54 | 3200 | 0.1419 | 0.1640 | |
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| 0.2436 | 1.64 | 3400 | 0.1456 | 0.1714 | |
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| 0.2464 | 1.73 | 3600 | 0.1402 | 0.1607 | |
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| 0.2464 | 1.83 | 3800 | 0.1345 | 0.1528 | |
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| 0.2292 | 1.92 | 4000 | 0.1342 | 0.1556 | |
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| 0.2292 | 2.02 | 4200 | 0.1334 | 0.1552 | |
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| 0.2292 | 2.12 | 4400 | 0.1352 | 0.1543 | |
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| 0.2209 | 2.21 | 4600 | 0.1350 | 0.1538 | |
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| 0.2209 | 2.31 | 4800 | 0.1342 | 0.1530 | |
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| 0.2136 | 2.41 | 5000 | 0.1320 | 0.1540 | |
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| 0.2136 | 2.5 | 5200 | 0.1369 | 0.1569 | |
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| 0.2136 | 2.6 | 5400 | 0.1314 | 0.1517 | |
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| 0.2154 | 2.69 | 5600 | 0.1304 | 0.1506 | |
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| 0.2154 | 2.79 | 5800 | 0.1320 | 0.1507 | |
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| 0.2123 | 2.89 | 6000 | 0.1319 | 0.1524 | |
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| 0.2123 | 2.98 | 6200 | 0.1292 | 0.1524 | |
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| 0.2123 | 3.08 | 6400 | 0.1283 | 0.1488 | |
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| 0.2109 | 3.18 | 6600 | 0.1258 | 0.1492 | |
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| 0.2109 | 3.27 | 6800 | 0.1291 | 0.1488 | |
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| 0.2103 | 3.37 | 7000 | 0.1278 | 0.1484 | |
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| 0.2103 | 3.46 | 7200 | 0.1250 | 0.1478 | |
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| 0.2103 | 3.56 | 7400 | 0.1277 | 0.1482 | |
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| 0.1986 | 3.66 | 7600 | 0.1256 | 0.1476 | |
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| 0.1986 | 3.75 | 7800 | 0.1258 | 0.1468 | |
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| 0.1954 | 3.85 | 8000 | 0.1256 | 0.1465 | |
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| 0.1954 | 3.95 | 8200 | 0.1253 | 0.1456 | |
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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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