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--- |
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license: apache-2.0 |
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base_model: facebook/hubert-large-ls960-ft |
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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-large-ls960-ft-V2-5 |
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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-large-ls960-ft-V2-5 |
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This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co./facebook/hubert-large-ls960-ft) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5760 |
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- Wer: 0.1085 |
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- Per: 0.0892 |
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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: 0.0001 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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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_ratio: 0.1 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Per | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 19.707 | 1.0 | 82 | 3.5254 | 1.0 | 1.0 | |
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| 3.4906 | 2.0 | 164 | 3.2483 | 1.0 | 1.0 | |
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| 3.233 | 3.0 | 246 | 3.1368 | 1.0 | 1.0 | |
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| 3.0468 | 4.0 | 328 | 2.9600 | 1.0 | 1.0 | |
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| 2.6751 | 5.0 | 410 | 2.3348 | 1.0 | 1.0 | |
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| 2.0881 | 6.0 | 492 | 1.7351 | 0.8568 | 0.8726 | |
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| 1.4875 | 7.0 | 574 | 1.2264 | 0.6059 | 0.6134 | |
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| 1.0922 | 8.0 | 656 | 0.9666 | 0.4068 | 0.3972 | |
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| 0.8148 | 9.0 | 738 | 0.7746 | 0.3249 | 0.3138 | |
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| 0.6332 | 10.0 | 820 | 0.6755 | 0.2477 | 0.2313 | |
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| 0.4797 | 11.0 | 902 | 0.6262 | 0.1612 | 0.1410 | |
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| 0.3807 | 12.0 | 984 | 0.5765 | 0.1384 | 0.1172 | |
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| 0.3195 | 13.0 | 1066 | 0.5666 | 0.1191 | 0.0992 | |
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| 0.2526 | 14.0 | 1148 | 0.5759 | 0.1165 | 0.0970 | |
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| 0.2417 | 15.0 | 1230 | 0.5460 | 0.1138 | 0.0946 | |
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| 0.2072 | 16.0 | 1312 | 0.5551 | 0.1095 | 0.0912 | |
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| 0.1881 | 17.0 | 1394 | 0.5745 | 0.1102 | 0.0917 | |
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| 0.1888 | 18.0 | 1476 | 0.5731 | 0.1094 | 0.0907 | |
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| 0.202 | 19.0 | 1558 | 0.5774 | 0.1081 | 0.0893 | |
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| 0.1813 | 20.0 | 1640 | 0.5760 | 0.1085 | 0.0892 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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