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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- Ussen/swc-drc-kat |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-medium-swc-drc-kat-1 |
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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: Ussen/swc-drc-kat |
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type: Ussen/swc-drc-kat |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.49379203310915676 |
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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-medium-swc-drc-kat-1 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Ussen/swc-drc-kat dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9701 |
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- Wer Ortho: 50.0388 |
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- Wer: 0.4938 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
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| 0.6769 | 2.96 | 1000 | 0.8341 | 51.2296 | 0.5072 | |
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| 0.365 | 5.93 | 2000 | 0.8083 | 49.3917 | 0.4876 | |
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| 0.165 | 8.89 | 3000 | 0.8806 | 51.3073 | 0.5067 | |
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| 0.059 | 11.85 | 4000 | 0.9701 | 50.0388 | 0.4938 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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