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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large |
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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: wav2vec2-large-sw-cv-100hr-v3 |
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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-large-sw-cv-100hr-v3 |
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This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6016 |
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- Model Preparation Time: 0.0041 |
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- Wer: 0.4019 |
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- Cer: 0.1436 |
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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: 0.0005 |
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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_ratio: 0.15 |
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- num_epochs: 120 |
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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 | Model Preparation Time | Wer | Cer | |
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|:-------------:|:-------:|:-----:|:---------------:|:----------------------:|:------:|:------:| |
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| 1.6262 | 0.9998 | 2079 | 0.5262 | 0.0041 | 0.5289 | 0.1392 | |
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| 0.3281 | 2.0 | 4159 | 0.4055 | 0.0041 | 0.4037 | 0.1134 | |
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| 0.265 | 2.9998 | 6238 | 0.3537 | 0.0041 | 0.3599 | 0.0974 | |
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| 0.2592 | 4.0 | 8318 | 0.3882 | 0.0041 | 0.3790 | 0.1157 | |
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| 0.27 | 4.9998 | 10397 | 0.4337 | 0.0041 | 0.3919 | 0.1124 | |
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| 0.3063 | 6.0 | 12477 | 0.4226 | 0.0041 | 0.4094 | 0.1204 | |
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| 2.7704 | 6.9998 | 14556 | 2.8607 | 0.0041 | 1.0 | 1.0 | |
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| 2.86 | 8.0 | 16636 | 2.8618 | 0.0041 | 1.0 | 1.0 | |
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| 2.861 | 8.9998 | 18715 | 2.8596 | 0.0041 | 1.0 | 1.0 | |
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| 2.8597 | 10.0 | 20795 | 2.8618 | 0.0041 | 1.0 | 1.0 | |
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| 2.8611 | 10.9998 | 22874 | 2.8581 | 0.0041 | 1.0 | 1.0 | |
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| 2.8597 | 12.0 | 24954 | 2.8571 | 0.0041 | 1.0 | 1.0 | |
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| 2.861 | 12.9998 | 27033 | 2.8568 | 0.0041 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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