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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-Arabizi-gpu-colab-similar-to-german-param |
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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-Arabizi-gpu-colab-similar-to-german-param |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5609 |
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- Wer: 0.4042 |
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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: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 6 |
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- total_train_batch_size: 12 |
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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: 30 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 4.6416 | 2.83 | 400 | 2.8983 | 1.0 | |
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| 1.4951 | 5.67 | 800 | 0.6272 | 0.6097 | |
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| 0.6419 | 8.51 | 1200 | 0.5491 | 0.5069 | |
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| 0.4767 | 11.35 | 1600 | 0.5152 | 0.4553 | |
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| 0.3899 | 14.18 | 2000 | 0.5436 | 0.4475 | |
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| 0.3342 | 17.02 | 2400 | 0.5400 | 0.4431 | |
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| 0.2982 | 19.85 | 2800 | 0.5599 | 0.4248 | |
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| 0.2738 | 22.69 | 3200 | 0.5401 | 0.4103 | |
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| 0.2563 | 25.53 | 3600 | 0.5710 | 0.4198 | |
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| 0.2443 | 28.37 | 4000 | 0.5609 | 0.4042 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.10.3 |
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