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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: wav2vec2-base-timit-coba-sandy |
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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-base-timit-coba-sandy |
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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: 0.6048 |
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- Wer: 0.5118 |
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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: 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: 1000 |
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- num_epochs: 2 |
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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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| 3.0362 | 0.2008 | 100 | 3.1211 | 1.0 | |
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| 2.9869 | 0.4016 | 200 | 3.1039 | 1.0 | |
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| 2.9429 | 0.6024 | 300 | 2.9918 | 1.0 | |
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| 2.6059 | 0.8032 | 400 | 2.1529 | 1.0098 | |
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| 1.6444 | 1.0040 | 500 | 1.2032 | 0.9262 | |
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| 1.0685 | 1.2048 | 600 | 0.8444 | 0.6414 | |
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| 0.8178 | 1.4056 | 700 | 0.7169 | 0.5498 | |
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| 0.7488 | 1.6064 | 800 | 0.6162 | 0.5415 | |
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| 0.6292 | 1.8072 | 900 | 0.6048 | 0.5118 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 1.18.3 |
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- Tokenizers 0.19.1 |
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