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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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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: finetune_wav2vec2_base_thirty |
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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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# finetune_wav2vec2_base_thirty |
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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: 1.3014 |
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- Wer: 68.3822 |
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- Cer: 31.2142 |
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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: 32 |
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- eval_batch_size: 16 |
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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: 2000 |
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- training_steps: 4500 |
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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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| 3.4046 | 2.8090 | 1000 | 1.3290 | 68.5064 | 31.3589 | |
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| 0.7428 | 5.6180 | 2000 | 0.6691 | 34.7663 | 15.3556 | |
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| 0.4195 | 8.4270 | 3000 | 0.6144 | 29.5906 | 13.1851 | |
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| 0.2851 | 11.2360 | 4000 | 0.6656 | 27.3526 | 12.3476 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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