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--- |
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license: apache-2.0 |
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base_model: facebook/hubert-large-ll60k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: speech_ocean_hubert_mdd |
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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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# speech_ocean_hubert_mdd |
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This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co./facebook/hubert-large-ll60k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3987 |
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- Wer: 0.5798 |
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- Cer: 0.6474 |
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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: 16 |
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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: 32 |
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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: 500 |
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- num_epochs: 20 |
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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 | Cer | |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:| |
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| 94.265 | 0.9873 | 39 | 85.1429 | 0.9995 | 0.9840 | |
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| 52.6364 | 2.0 | 79 | 32.7798 | 1.0 | 1.0 | |
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| 27.2435 | 2.9873 | 118 | 14.8924 | 1.0 | 1.0 | |
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| 10.122 | 4.0 | 158 | 7.1662 | 1.0 | 1.0 | |
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| 5.6778 | 4.9873 | 197 | 5.3731 | 1.0 | 1.0 | |
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| 5.3058 | 6.0 | 237 | 5.2800 | 1.0 | 1.0 | |
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| 5.3233 | 6.9873 | 276 | 5.2647 | 1.0 | 1.0 | |
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| 5.2846 | 8.0 | 316 | 5.2266 | 1.0 | 1.0 | |
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| 5.2555 | 8.9873 | 355 | 5.1857 | 1.0 | 1.0 | |
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| 5.172 | 10.0 | 395 | 5.1649 | 1.0 | 1.0 | |
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| 5.1551 | 10.9873 | 434 | 5.0741 | 1.0 | 1.0 | |
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| 5.1312 | 12.0 | 474 | 5.0101 | 1.0 | 1.0 | |
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| 4.9727 | 12.9873 | 513 | 4.7469 | 1.0 | 1.0 | |
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| 4.6317 | 14.0 | 553 | 4.3717 | 0.9541 | 0.9580 | |
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| 4.1657 | 14.9873 | 592 | 3.8313 | 0.8953 | 0.9418 | |
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| 3.7754 | 16.0 | 632 | 3.3712 | 0.8003 | 0.8418 | |
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| 3.3744 | 16.9873 | 671 | 2.9940 | 0.7360 | 0.8192 | |
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| 3.0452 | 18.0 | 711 | 2.6717 | 0.6829 | 0.7675 | |
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| 2.7951 | 18.9873 | 750 | 2.4711 | 0.6175 | 0.6972 | |
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| 2.7407 | 19.7468 | 780 | 2.3987 | 0.5798 | 0.6474 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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