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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: hubert_new |
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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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# hubert_new |
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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: 0.0652 |
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- Wer: 0.0332 |
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- Cer: 0.0321 |
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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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| 32.501 | 1.0 | 26 | 30.2361 | 1.4946 | 1.4799 | |
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| 18.4587 | 2.0 | 52 | 10.7837 | 1.0 | 1.0 | |
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| 7.9821 | 3.0 | 78 | 4.0872 | 1.0 | 1.0 | |
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| 4.0414 | 4.0 | 104 | 3.4348 | 1.0 | 1.0 | |
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| 3.3351 | 5.0 | 130 | 3.2570 | 1.0 | 1.0 | |
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| 3.2641 | 6.0 | 156 | 3.2289 | 1.0 | 1.0 | |
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| 3.2492 | 7.0 | 182 | 3.1934 | 1.0 | 1.0 | |
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| 3.2815 | 8.0 | 208 | 3.1768 | 1.0 | 1.0 | |
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| 3.1516 | 9.0 | 234 | 3.1230 | 1.0 | 1.0 | |
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| 3.1305 | 10.0 | 260 | 3.0061 | 1.0 | 1.0 | |
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| 2.9981 | 11.0 | 286 | 2.8843 | 1.0 | 1.0 | |
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| 2.6928 | 12.0 | 312 | 2.4900 | 1.0 | 1.0 | |
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| 2.3977 | 13.0 | 338 | 2.0772 | 0.9470 | 0.9594 | |
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| 1.9738 | 14.0 | 364 | 1.5876 | 0.7353 | 0.7459 | |
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| 1.2899 | 15.0 | 390 | 0.9695 | 0.5152 | 0.5217 | |
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| 0.9936 | 16.0 | 416 | 0.5316 | 0.2774 | 0.2768 | |
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| 0.6417 | 17.0 | 442 | 0.2814 | 0.1217 | 0.1146 | |
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| 0.4256 | 18.0 | 468 | 0.1658 | 0.0645 | 0.0623 | |
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| 0.2974 | 19.0 | 494 | 0.1023 | 0.0435 | 0.0419 | |
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| 0.1767 | 20.0 | 520 | 0.0652 | 0.0332 | 0.0321 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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