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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wav2vec2-2 |
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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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# wav2vec2-2 |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9253 |
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- Wer: 0.8133 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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_steps: 400 |
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- num_epochs: 10 |
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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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| 8.4469 | 0.34 | 200 | 3.7440 | 1.0 | |
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| 3.1152 | 0.69 | 400 | 3.3755 | 1.0 | |
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| 2.9228 | 1.03 | 600 | 3.0427 | 1.0 | |
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| 2.8661 | 1.38 | 800 | 2.9406 | 1.0 | |
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| 2.8402 | 1.72 | 1000 | 2.9034 | 1.0 | |
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| 2.8301 | 2.07 | 1200 | 2.8850 | 1.0 | |
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| 2.8088 | 2.41 | 1400 | 2.8479 | 1.0 | |
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| 2.6892 | 2.75 | 1600 | 2.5800 | 1.0 | |
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| 2.3249 | 3.1 | 1800 | 2.1310 | 1.0 | |
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| 1.9687 | 3.44 | 2000 | 1.7652 | 0.9982 | |
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| 1.7338 | 3.79 | 2200 | 1.5430 | 0.9974 | |
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| 1.5698 | 4.13 | 2400 | 1.3927 | 0.9985 | |
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| 1.4475 | 4.48 | 2600 | 1.3186 | 0.9911 | |
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| 1.3764 | 4.82 | 2800 | 1.2406 | 0.9647 | |
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| 1.3022 | 5.16 | 3000 | 1.1954 | 0.9358 | |
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| 1.2409 | 5.51 | 3200 | 1.1450 | 0.8990 | |
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| 1.1989 | 5.85 | 3400 | 1.1107 | 0.8794 | |
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| 1.1478 | 6.2 | 3600 | 1.0839 | 0.8667 | |
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| 1.106 | 6.54 | 3800 | 1.0507 | 0.8573 | |
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| 1.0792 | 6.88 | 4000 | 1.0179 | 0.8463 | |
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| 1.0636 | 7.23 | 4200 | 0.9974 | 0.8355 | |
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| 1.0224 | 7.57 | 4400 | 0.9757 | 0.8343 | |
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| 1.0166 | 7.92 | 4600 | 0.9641 | 0.8261 | |
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| 0.9925 | 8.26 | 4800 | 0.9553 | 0.8183 | |
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| 0.9934 | 8.61 | 5000 | 0.9466 | 0.8199 | |
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| 0.9741 | 8.95 | 5200 | 0.9353 | 0.8172 | |
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| 0.9613 | 9.29 | 5400 | 0.9331 | 0.8133 | |
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| 0.9714 | 9.64 | 5600 | 0.9272 | 0.8144 | |
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| 0.9593 | 9.98 | 5800 | 0.9253 | 0.8133 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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