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--- |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- qmeeus/slue-voxpopuli |
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metrics: |
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- wer |
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base_model: openai/whisper-small |
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model-index: |
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- name: WhisperForNamedEntityRecognition |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: qmeeus/slue-voxpopuli |
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type: qmeeus/slue-voxpopuli |
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split: dev |
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metrics: |
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- type: wer |
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value: 10.482824557809192 |
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name: Wer |
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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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# WhisperForNamedEntityRecognition |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the qmeeus/slue-voxpopuli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.1514 |
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- Wer: 10.4828 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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: 200 |
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- training_steps: 1600 |
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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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| 31.3741 | 0.06 | 100 | 25.8582 | 10.4828 | |
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| 13.0078 | 1.03 | 200 | 13.4173 | 10.4828 | |
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| 10.3619 | 1.09 | 300 | 10.8540 | 10.4828 | |
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| 8.7869 | 2.06 | 400 | 9.6249 | 10.4828 | |
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| 7.3964 | 3.02 | 500 | 9.1812 | 10.4828 | |
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| 6.6321 | 3.08 | 600 | 8.6536 | 10.4828 | |
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| 6.4612 | 4.05 | 700 | 8.6046 | 10.4828 | |
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| 4.8358 | 5.02 | 800 | 8.0890 | 10.4828 | |
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| 4.4918 | 5.08 | 900 | 8.3141 | 10.4828 | |
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| 4.7548 | 6.04 | 1000 | 8.1660 | 10.4828 | |
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| 3.7881 | 7.01 | 1100 | 8.2471 | 10.4828 | |
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| 3.1916 | 7.07 | 1200 | 8.0779 | 10.4828 | |
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| 3.2039 | 8.04 | 1300 | 8.1106 | 10.4828 | |
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| 3.038 | 9.0 | 1400 | 8.0875 | 10.4828 | |
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| 2.3249 | 9.07 | 1500 | 8.1025 | 10.4828 | |
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| 2.6124 | 10.03 | 1600 | 8.1514 | 10.4828 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.10.0 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.11.0 |
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