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--- |
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license: apache-2.0 |
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base_model: guilhermebastos96/whisper-large-v2-finetuning |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_17_0 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v2-finetuning-2 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: common_voice_17_0 |
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type: common_voice_17_0 |
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config: pt |
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split: None |
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args: pt |
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metrics: |
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- name: Wer |
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type: wer |
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value: 11.81143898462227 |
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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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# whisper-large-v2-finetuning-2 |
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This model is a fine-tuned version of [guilhermebastos96/whisper-large-v2-finetuning](https://huggingface.co/guilhermebastos96/whisper-large-v2-finetuning) on the common_voice_17_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2251 |
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- Wer: 11.8114 |
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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: 1e-05 |
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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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- 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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- training_steps: 6000 |
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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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| 0.0724 | 0.5089 | 1000 | 0.2000 | 15.6703 | |
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| 0.0322 | 1.0178 | 2000 | 0.2156 | 12.0592 | |
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| 0.0398 | 1.5267 | 3000 | 0.2065 | 9.9843 | |
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| 0.0167 | 2.0356 | 4000 | 0.2091 | 10.5134 | |
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| 0.0107 | 2.5445 | 5000 | 0.2181 | 13.2453 | |
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| 0.0035 | 3.0534 | 6000 | 0.2251 | 11.8114 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.2.1 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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