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--- |
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base_model: zainulhakim/241103_wav2vec2_Augmented_Dataset |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: augmented_indians_dataset_client2 |
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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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# augmented_indians_dataset_client2 |
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This model is a fine-tuned version of [zainulhakim/241103_wav2vec2_Augmented_Dataset](https://huggingface.co/zainulhakim/241103_wav2vec2_Augmented_Dataset) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7949 |
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- Wer: 0.5314 |
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- Cer: 0.2484 |
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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: 5e-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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- num_epochs: 3.0 |
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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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| No log | 1.0 | 156 | 1.6021 | 0.7371 | 0.5976 | |
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| No log | 2.0 | 312 | 1.0143 | 0.6057 | 0.3627 | |
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| No log | 3.0 | 468 | 0.7949 | 0.5314 | 0.2484 | |
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### Framework versions |
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- Transformers 4.43.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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