End of training
Browse files- README.md +80 -0
- generation_config.json +256 -0
README.md
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---
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language:
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- vi
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- vivos
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metrics:
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- wer
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model-index:
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- name: Whisper Small Hi - Sanchit Gandhi
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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: '##'
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type: vivos
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config: vi
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split: None
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args: 'config: vi, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 28.687356069744492
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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 Small Hi - Sanchit Gandhi
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ## dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5230
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- Wer: 28.6874
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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: 20
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- training_steps: 200
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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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| 0.2772 | 0.57 | 100 | 0.5491 | 29.9594 |
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| 0.1497 | 1.15 | 200 | 0.5230 | 28.6874 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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generation_config.json
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"task": "transcribe",
|
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|
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|
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|
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},
|
255 |
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"transformers_version": "4.39.3"
|
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}
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