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--- |
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license: apache-2.0 |
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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: workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4 |
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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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# workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4 |
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This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3964 |
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- Wer: 36.5051 |
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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: 4 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 256 |
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- total_train_batch_size: 1024 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 100 |
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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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| 1.0214 | 7.35 | 500 | 0.8448 | 36.1291 | |
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| 0.3301 | 14.7 | 1000 | 0.9065 | 35.5511 | |
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| 0.0745 | 22.06 | 1500 | 1.1071 | 36.1535 | |
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| 0.0089 | 29.41 | 2000 | 1.2245 | 36.1082 | |
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| 0.0026 | 36.76 | 2500 | 1.3039 | 36.3171 | |
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| 0.0015 | 44.12 | 3000 | 1.3551 | 36.4216 | |
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| 0.001 | 51.47 | 3500 | 1.3964 | 36.5051 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1 |
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- Datasets 2.7.1 |
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- Tokenizers 0.11.0 |
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